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Top opportunities with M.Sc. in Data Science in India

The M.Sc. in Data Science is a course for those who wish to master in the data science domain. This course provides students with the skills and knowledge to succeed in their professional life across industries. Students can select the discipline of their choice from the data science master’s program. 

Their innovative and analytical techniques improve the efficiency and performance of operations and functions within many different organizations by gleaning and analyzing big data. 

How does an M.Sc. in Data Science degree work? 

M.Sc. in Data Science is designed to give learners the data skills and knowledge needed to make them sought after professionals in today’s job market. The program combines machine learning, big data analytics, and statistics to create a comprehensive curriculum. Participants can gain practical experience in machine learning applications and predictive modelling, apply their insights to real-world data sets, collaborate productively with teams, develop objectives and offer tactical advice, and manage projects, people and processes. 

Are you still wondering if you pursue an M.Sc. Data Science? Read this article on how spending two years to pursue a data science course help you boost your career. 

Why are master’s degrees in data science becoming so popular? 

Data is the fuel driving today’s world and organizations across sectors are harnessing its power. Big data is effective in helping businesses develop products, services and strategies that meet the expectations of their target audience. Furthermore, it is the basis of a great number of niche technologies such as AI, ML and neural networks. Data Science is now an integral part of companies’ strategies to stay competitive in the constantly changing economy. 

You may like to know about the importance of data science

The scope of M.Sc. Data Science in India 

In India, Data Scientists are in high demand in the following industries: 

  • E-commerce: Retail brands analyze customer profiles, profits, losses, and consumer behavior based on data analysis to sell the right products and influence customer behavior. 
  • Manufacturing: Increase productivity, minimize risk, and increase profits with manufacturing. You can improve productivity and processes as well as predict trends. 
  • Banking & Finance: In banking and finance, data analysis can help banks and financial institutions understand customer journeys and customer loyalty, as well as gain new customers. It allows them to build FinTech products and solutions based on transaction data. Banks also use transaction data for fraud and risk management. 
  • Healthcare: Analyzing the data optimizes all aspects of healthcare after reviewing and learning previous patient records. 
  • Transportation: As a data scientist, you can improve the reliability of your service and mitigate risk for the transportation industry. 

Increasing start-up numbers, e-commerce growth, customer-centric markets, and a large population all contribute to high demand for data science professionals in India. 

Find out the best candidates whom an M.Sc Data Science will suit

Careers in data science

Top career options in Data Science

The data science field is one of the fastest-growing and most rewarding careers today. You can expand or transform your career by learning skills in this field. As companies create more and more useful data, the number of jobs increases. Many industries need data scientists, engineers, analysts, and more. 

The following are some of the top careers you can choose from: 

  • Statistician: In order to develop functional guidelines and encourage realistic answers to questions, statisticians collect, investigate, and evaluate quantitative data from surveys and audits. In order to work in this field, you need to have key skills and industry experience. 
  • Data Analyst: In addition to being curious and logical, data analysts have a special ability to analyze numbers. All associations and companies collect information, whether it is marketing forecasts, adjustments, statistical surveys, or shipping costs. In order to gain a clear understanding of how associations can develop their business methodologies and make better business decisions in different regions, data analysts need to gather and evaluate this information. 
  • Mahine Learning Engineer: A machine learning engineer is a professional who works in the field of machine learning, which is still in its infancy. In conjunction with the association’s data science team, machine learning engineers program, perform calculations, and enable machines to move, make decisions, and interact virtually with customers. Using custom online media and news channels, and naturally moving vehicles, communicate your product and governance. 
  • Data Architect: Data architects configure and secure information systems for monitoring large electronic data sets for organizations using a variety of programming devices. It is a professional responsibility to ensure that the information provided is accurate, relevant, and accessible to the organization. Staff can access this information from anywhere, anytime, as well as financial records and presentation data. 
  • Data Scientist: To develop new solutions, business strategies, and improve operations, data scientists use algorithms, artificial intelligence, machine learning, and other statistical tools to identify complex raw data from multiple sources and convert it into meaningful, transparent information. 
  • Market Research Analyst: Market research analysts collect and analyze data from multiple sources to identify key market trends and information that can help companies sell their products or services in the most effective way. This encompasses buyers’ socio-economic conditions, different modes of payment, requirements, desires, developments, and more. An advanced degree in Data Science can be beneficial for this area of work for professionals in India. 
  • Application Architect: In this fast-paced work, application architects have a good professional vision, the ability to provide experience and answers to improve, use, and support programming, as well as solid insight, critical thinking, and problem-solving skills. The application programming software consistently performs various tasks, including building better applications, building models, running programming tests, and generating special reports. 
  • Business Translator: Analytical Translators focus on cutting-edge, innovative innovations such as artificial intelligence (AI) and machine learning to increase business efficiency. 
  • Chief Data Officer (CDO): The chief data officer should consciously direct the association’s information and create a business reputation from the association’s most important assets. As a Chief Data Officer, you need a professional master’s degree like a master’s degree in data science, industry experience, and key skills like maths and analysis to become a Chief Data Officer. 
  • Chief Technology Officer: This position requires technical information about how they can be incorporated into mechanical patterns and business method construction. Chief Technology Officers discuss and lead technical investigations, considering ways to ensure the company has the resources it needs to build and maintain technological innovations. 

Know more about data science jobs in 2023

Earn M.Sc. in Data Science from MAHE 

Manipal Academy of Higher Education (MAHE) now offers an online M.Sc. in Data Science. This UGC-approved online postgraduate program from one of the top-10 universities in India is one of the best in the world. 

There is no better learning management system today than MAHE’s intuitive learning management system. MAHE’s expert academicians provide uninterrupted learning anywhere, anytime, so you can learn at your own pace and time. The bite-sized learning material, short videos, recorded lectures, quizzes, discussion forum, and e-library make the learning effective. 

In order to apply for the M.Sc. Data Science program, one needs to graduate with a minimum of 50% of marks or equivalent grade in Statistics/Mathematics/Computer Science [BSc/BE/BTech/BCA] or an equivalent degree from a university/institute recognized by the Association of Indian Universities (AIU). 

To provide students with better job opportunities in data science and leadership, the program covers all the concepts related to data science

In conclusion

It is the purpose of this article to explain the evolution of data science, its industry demand, and the skills that recruiters are seeking. We also examined various job options after completing a master’s degree in data science in India. By knowing all these details, you can decide whether to pursue a data-focused degree. Therefore, enroll now in the online Data Science postgraduate degree program at MAHE if you are interested in using technology to analyze information and interpret the results. 

Scope of M.Sc. in Business Analytics

If looking at vast amounts of numbers and information excites you, and you immediately dive into it to uncover trends and patterns, you are most definitely a ‘data lover’. Companies will need more and more people like you in the future. Data generation is here to stay and grow, necessitating the need for professionals who can evaluate the data and derive actionable insights from it. With this business transformation in mind, the demand for technical skills and specialisation in data science and big data as a subject of study has expanded.

In today’s data-driven environment, when we are going toward virtual working with AI and robots taking over jobs, data comprehension is critical for sustaining in the volatile world.

This blog will provide you with a comprehensive scope of M.Sc. in Business Analytics programmes.

What is the scope of M.Sc. in Business Analytics?

An M.Sc. in Business Analytics is a postgraduate programme that blends analytical abilities with business management. Candidates are provided with a comprehensive understanding of data, business management, data analytics and are encouraged to build a multidisciplinary approach.

Analytics professionals are in high demand in the following sectors –

  • E-commerce: Retail brands use data analysis to analyse client profiles, profitability, losses and consumer behaviour. This assists them in selling the appropriate products and influencing client behaviour.
  • Manufacturing: Data professionals assist in increasing productivity, reducing risks, and increasing revenues. Productivity and processes can be enhanced, and trends can be forecasted.
  • Banking & finance: Data analysis aids in client engagement, retention, and acquisition. The transaction data available in banks aids in the prevention of fraud and risk management.
  • Healthcare: After examining and acquiring insights from prior patient data, data science in healthcare allows better patient care. Data analysis is used to optimise every area of healthcare operations.

Career prospects and job opportunities after M.Sc. in Business Analytics

The degree prepares students to be digitally strong, and data management is a talent that is in great demand.

The different job opportunities are – 

  1. Data Analyst: A data analyst is someone who collects, processes, and executes statistical studies on massive databases.
  2. Risk Analyst: Analyses the risk in a firm’s investment portfolios, particularly overseas investments, using analytical skills to determine potential losses and providing recommendations to mitigate risks through different tactics.
  3. Business Analysts: Analyse the business and ensure that the business model runs well.
  4. Business Intelligence Specialists: Deriving useful business insights from past datasets and predicting future of the business or product is the responsibilities of Business Intelligence Specialists.

The benefits of getting an M.Sc. Business Analytics

Listed below some of the benefits of pursuing an M.Sc. in Business Analytics:

  1. You will have a variety of skills:

Python: This programming language is used for deployment. It will be handy even if you decide to leave your position as an analyst and pursue a career in software development.

SQL: Similar to Python, SQL can be used for data analytics, organisations, and visualisations.

Business: By doing an M.Sc in Business Analytics, business processes can be made more efficient. When a business process is repeated several times, it becomes extremely beneficial.

Statistics: Statistics are essential, and anlysts use techniques such as analysis of variance, population sampling, and others.

  1. The growing demands for data-savvy executives in business data roles: Managers who can function as a bridge between analytical talent and the organisation’s strategic decision-making wing, as well as data-smart managers, are in great demand. A data-smart manager is responsible for fostering a data-driven culture within the organisation. They are in charge of making strategic decisions and employing data analytics to estimate the organisation’s future.
  2. A group of connected skills is given more importance: The most difficult component of the business analytics career is not maths. It’s all about determining what the company’s requirements are. This demands a deep understanding of your industry, subject knowledge, important performance measurements to consider, the task’s vision and goal, and so on. 

Understanding the business requirements is without a doubt the most important skill a new-gen analytics professional should have. Intellectual curiosity, commercial acumen, and communication skills are the most important non-technical abilities required in data science. A master’s degree focuses on learning and certification of these skills.

  1. Access to a business network: As an M.Sc. in Business Analytics student, you have a number of networking opportunities. In a setting that displays your business management talents, you’ll communicate and interact with colleagues, teachers, and industry panel members. Furthermore, you will have several opportunities to meet prospective employers through the various placement assistance activities we provide at Online Manipal. The same may be true of our sizable alumni base.
  2. Postgraduates are in high demand by recruiters: A postgraduation is a credential that is recognised both nationally and internationally. With an M.Sc. in Business Analytics, you earn credibility, and certifies you as a specialist in your domain. It shows that you are incredibly informed and committed to your subject, as well as your command of management skills and a diverse understanding of data science.

Conclusion

The tremendous expansion and importance of big data have triggered the development of data science. If you want to make a career in this field, it is the right time to start.

If you’re looking for a postgraduate degree, Online Manipal offers an M.Sc. in Business Analytics from the prestigious Manipal Academy of Higher Education (MAHE). Developed by the expert faculty at MAHE, this experiential learning approach as well as a well-designed comprehensive curriculum will help you ascend new heights in your professional life. You can develop your data skills from the comfort of your home using the advanced course material and lectures from expert faculty, and industry leaders. 

A degree from this Institute of Eminence university will give you a competitive advantage for career prospects. This also helps you achieve a quick career progression and emerge as a domain leader within a few years. Graduates in any discipline with Statistics as one of the subjects from recognised universities/institutions or an equivalent qualification as recognised by the Association of Indian Universities (AIU) with a minimum of 50% of marks or equivalent grade can enrol in the M.Sc. in Business Analytics at Online Manipal.You can explore more on the website now.

What next after bachelor’s? Grow your career with master’s in data science

Data Science helps extract just the relevant or important insides from a vast amount of available information by using various algorithms, statistical methods, and other data analysis systems. Data science came into existence because of technological development, mathematical operations, data mining processes, etc. It helps in determining the hidden patterns in the sample raw data available.

Pursuing a master’s in data science gives you lots of opportunities to grow your career in different fields. Data science is an area that many companies now widely utilise. As the industry transitioned to the Fourth Industrial Revolution, automation, artificial intelligence, and the Internet of Things began to shape our human lives. Data science has revolutionised all major industrial sectors such as banking, healthcare, entertainment, sports, and services.

Data science is focused on acquiring knowledge about data inference and exploration. A good data scientist has computer programming and statistics skills to understand the data and solve complex business problems. The best data science certification helps you acquire new skills and helps you tackle your business situation practically.

What will you study in a data science course?

To become a data scientist, you need strong analytical and computational skills to solve complex problems. Most universities consult with industry experts on curriculum preparation before making the curriculum available to students. You’ll have the opportunity to learn machine learning, data analysis, statistics, data modelling, business analysis, data visualisation, cloud computing, database systems, internet technology, and algorithms. If you’re lucky, some universities also cover programming languages.

How much will M.Sc Data Science cost?

Programme costs vary from university to university and, of course, from country to country. The most common factors that affect tuition fees include programme length, university rankings, and destination country. Many universities offer a wide range of scholarships based on academic performance. Therefore, it is advisable to consult with your advisor in advance to confirm your eligibility for scholarships. This will significantly reduce learning costs. You can check out the fee structure of online M.Sc. in Data Science at Manipal Academy of Higher Education (MAHE).

Benefits of earning a master’s degree in data science

Being a revolutionary and new field there are various students opting for a career in this field. Several institutes are providing bachelor’s degree in Data Science and master’s in Data Science India. A masters in data science opens up a large scale of future career paths.

With advances in new technologies and the emergence of the world of smart devices, data science is expanding as a career choice. A PG program in data science can be fruitful for anyone looking to build a good career in this area. The profession of data scientists has evolved into an essential profession for companies in various industries to use data for strategic thinking.

The need for this new business has helped promote this profession. Due to the high demand for data scientists, data science is currently one of the best disciplines. With an M.Sc. in the field of data science, you can improve your skills by giving yourself plenty of room. 

Here’s why you need to apply for a master’s degree in data science:

  • Learn in-demand data science skills: Data science requires learning programming languages such as Python and R programming, as well as methods such as machine learning, data wrangling, and data visualisation. A postgraduate programme in data science with a professionally designed curriculum will succeed in the future by acquiring the skills to collect, aggregate, and analyse different types of data, identify patterns and trends in that data, and communicate results. These compensation skills are built into all course offerings, and you also have the opportunity to use them to draw conclusions from the actual dataset.  
  • Earn a higher salary: With advanced skills and knowledge, you can get a good salary at work. The average salary of a data scientist in India is about INR Seven lakhs per year. You can expect INR Six lakhs a year for an entry-level experience, but you can achieve more than INR 10 lakhs for a mid-level experience. Also, as the demand for data scientists grows day by day, salaries could increase by 10% by  2025.
  • Gain real-world business skills: This is an important part of a master’s degree in data science. Learning programming languages and other basic skills is important, but projects can apply education to real-world business problems. You have the opportunity to apply the skills and methods you have learned to find solutions from large amounts of data. Final year projects can also explore specific areas of interest to help identify your next career path. You will gain marketable career experience that you can use to look for new job opportunities and advance in your professional life. 
  • Exposure to real-world situations: Universities provide students with the perfect balance of theory and practice. An M.Sc. in data science gives you real-time insight into possible business scenarios. Thus, you can easily deal with the actual business situation.
  • Constantly evolving nature: Data science is evolving. What makes this field more attractive is its transforming nature. By enrolling in the master’s programme, you can learn new skills that will help you use data in your business scenarios to develop effective data-driven strategies to streamline operations. You can analyse data trends and create strategic plans for your business growth.
  • To deepen your knowledge:  After completing the M.Sc. in Data Science course, you will have advanced knowledge and skills to apply in diverse situations. In data science, hire yourself more in this highly competitive world. According to a survey, about 88% have a master’s degree in data science, and 40%  have a Ph.D. Data Scientists are currently one of the fastest-growing professions in the world and require a high degree of knowledge and skills to stand out from others. Online data science programmes can help you develop these skills.

Basic concepts covered in data science masters course

As data science is such a huge and diverse concept, there are frequent updates and changes in the technique, but the core concepts remain unchanged; a few of them are:

  • Statistics: Statistics is the most important concept of the Data Science phenomenon. It is the method of collecting, bifurcating and analysing the raw numerical data collected and obtaining the important or necessary details. Statistical data leads to a straight-to-point explanation and helps in the time saving of the user.
  • Visualisation: The visualisation technique converts these numeric and huge data into visual representations. Visual representation is easy on the eye and easily accessible and understandable as it provides an on-point explanation.
  • Machine Learning: Machine Learning explores the study and information and helps the company or user make predictions and plan the foreseeable future. These assumptions are not 100% accurate but a mere prediction based on the collected or previous data.

Methods followed in data science analysis

A basic procedure is followed for data science analysis to make the task more efficient. Its as follows;

  • Discovery: collection and acquiring the data that seems useful for the research forms a part of the discovery stage of data science. This data is acquired from internal and external sources and any other liable source.

The data can be:

  1. Government released data
  2. Data gathered from social media
  3. Data from Books and thesis written by authors 
  4. Census datasets
  5. Data collected by an authorised and trusted organisation
  6. Data streamed from online sources using APIs
  • Preparation: The collected data is raw and unorganised. Thus, in the initial stage, the useful data needs to be recognised to eliminate unnecessary data and save time. Thus, the data needs to be processed because the cleaner the data the better the prediction.
  • Model Planning: After collection and processing, the data is collected, and important or useful data must be determined. Later, you can decide the method and technique of presenting and representing the data. You can make decisions regarding data modelling by using mathematical and statistical methods.
  • Model Building: In this step, the procedure of building the actual modal begins. The collected data is now organised and represented into models. Different techniques such as association, classification, and clustering of data are applied to the available data set, thereby depicting and conveying all the important data.
  • Operationalise: In this stage, all the studies and results are delivered. All the past data and reports are applied to the real-time information, and thereby a model representing the real-life scenario of the company is depicted. 
  • Communicate Results: In this stage, all the important data is revised and converted into models, stats and diagrammatic representation are conveyed to the final users. Because communication of the result is the final and the main aim of this process.

Master data skills with an online M.Sc. in Data Science from Online Manipal

Online Manipal is now offering UGC-entitled online M.Sc. in Data Science from the prestigious Manipal Academy of Higher Education (MAHE). The programme from the Institute of Eminence covers all the advanced concepts in data science.

Graduates in Statistics/Mathematics/Computer Science [BSc/BE/BTech/BCA] or an equivalent degree studying the subjects for a minimum of two years from universities/institutions recognised by the Association of Indian Universities (AIU) with a minimum of 50% of marks or equivalent grade can enrol in this M.Sc. programme. The 100% online programme allows learners to study at their convenience using any device.

Conclusion

Studying data science requires a lot of preparation, and data science is focused on acquiring knowledge about data inference and exploration. Before signing up for the best data science course for beginners, we recommend taking online courses on Python, SAS, Hadoop, regression models, data exploration, hypothesis testing, and Spark. This will greatly help you improve your research and improve your employment and internship opportunities.

Benefits of learning cloud computing courses online

In recent years, cloud computing has become a popular topic among IT aficionados. The technology is considered a practical answer to developing connection and storage constraints in small, medium, and big businesses. Cloud computing has achieved widespread popularity among organisations due to its capacity to help consumers and businesses save money by storing data in the cloud. Companies are now hunting for employees that are well-versed in cloud computing technologies as a result of this. Cloud computing courses and areas of expertise offered online cover topics like cloud architecture, services and hosting.

The traditional method of establishing an IT infrastructure by acquiring hardware, obtaining a license, and installing valuable software to activate its services is no longer viable. These procedures are seen to be overly time-consuming and costly. Cloud computing technology is used to replace the IT infrastructure. Pay Per Use (PPU) arrangements, which allow businesses to pay only for what they use, are becoming increasingly popular. Cloud computing is the transmission of computing services such as servers, storage, networking,  databases, software, analytics, and intelligence over the internet to allow faster innovation, more flexible resources, and cost savings.

We can see a shift in global technology trends. A growing number of businesses from different sectors are turning to the cloud to help them perform and develop on a huge scale. As the popularity of cloud computing grows, so does the demand for workers who have undergone cloud computing training and perform effectively in the system. Advanced online cloud computing courses are also available to give industry-based learning to the students. Choosing the right course will assist the individual on a professional level. Read this article to know what benefits an online cloud computing course can provide that exceed other learning approaches.

What is cloud computing?

Cloud computing is a set of services offered through the internet or the cloud. It entails storing and accessing data on remote servers rather than depending on local hard drives and private data centres.

Before the advent of cloud computing, firms had to acquire and maintain their servers to satisfy business demands. This necessitated the purchase of sufficient server capacity to prevent the problem of failures and disruptions while also accommodating peak traffic demand. As a result, vast quantities of server space sat idle for the majority of the time. Cloud service providers now enable businesses to eliminate the need for local servers, maintenance workers, and other expensive IT resources.

Benefits of learning from cloud computing online

In today’s working environment, cloud computing has progressed from nothing to everything. It has become an essential component of the organisation’s infrastructure. Cloud computing is expected to grow dramatically in the next few years. With the advancement of cloud technology, the issue becomes, who will become the centre of attraction? Individuals who have mastered skills from cloud computing courses. The need for cloud computing experts with the necessary expertise is growing rapidly. As a result, there has been a surge in the number of online courses around cloud computing that are gaining popularity.

Increased demand for cloud: Cloud computing has become the technology that every organisation desires in recent years as it is simple, fast, and cost-effective. The traditional approach is time-consuming, demanding, and less cost-effective. Cloud computing assists organisations in expanding their operations and increasing their profits. It will be one of the most difficult technologies to master in the future. That is why every organisation is attempting to migrate its operations to the cloud. They can access any information from anywhere across the globe with the highest security in less money and time because of the tremendous digital change.

Because everyone wants to use this technology, there are a rising number of employment vacancies every day. This is only the beginning. This significant demand for cloud computing expertise will only grow in the future. Even today, if you look at job boards, you will discover multiple jobs for cloud computing workers.

Cloud computing systems such as Amazon Web Services, Google Cloud, and Microsoft Azure have become integrated into several enterprises. Their clients are having difficulty locating qualified cloud computing specialists. As a result, they made a cloud computing online training certification a prerequisite for the role. So, to attend the interview, you must first obtain the cloud computing online training certification.

There has been a huge investment and passion for the subject of cloud computing during the previous decade. It has become a crucial component of many firms’ IT infrastructures across the world. Cloud computing has drastically revolutionised the way businesses conduct their operations. Large and small businesses depend on public cloud platforms to deploy and execute key applications.

Obtain a cloud computing certification to unlock the door to a higher-paying career: This title is an obvious statement, but here are some additional numbers to back it up: According to various reports, the average salary for cloud administrators is less than USD 78,000, whereas cloud engineers make an average of USD 118,758 per year. Cloud architects may make up to six figures, with a typical salary of USD 124,406 and some earning up to USD 173,719. According to Forbes, an IT worker with cloud computing certification make an annual income of approx. USD 125,971. Having cloud computing online training certification will not only look nice but will also significantly boost your chances of getting a higher paid job.

Set yourself different by obtaining a recession-proof career: When the global crisis struck the employment market, Many skilled engineers had an awful experience when it came to job seeking and finding a meaningful career. This will not be the case for you if you take a cloud computing course and get certified. The IT business is always in need of cloud workers, and the market is expanding by the hour.

If you’re looking for a new job or want to specialise in cloud computing, check out the best online cloud computing courses , this is the terrific way to start and advance your career.

Increase your employer’s trust and gain recognition from your colleagues: Holding a cloud computing online training certification, having highly relevant training, and having experience are the essential criteria that a firm looks for in a candidate when seeking to fill a cloud-related role. Taking a cloud computing course can be your route to a higher-paying career and an above-average position among IT engineers. For a cloud computing firm, your certification is a confirmation that you will assist your organisation in minimising risk and cutting costs when implementing workloads and initiatives on various cloud platforms.

You will be ready to access superior cloud-related projects because of your PGCP in cloud computing , and you will ascend to the prestige of cloud computing expert in the eyes of your clients. It will be real proof that you can be trusted with complex procedures and cloud implementation in a company. You should have a proper insight into how an online PGCP in cloud computing may benefit you by now. You may either specialise in one field or find a new job role. Cloud computing courses online certifications are a terrific way to advance your profession.

At your next job interview, outperform the competition: In any job-search circumstance, the job interview phase is tense. You may have sweaty hands, increasing heartbeat, and you gaze at the next candidate who rises and approaches the interview process. Nonetheless, you are the one who aced the interview and landed the job. And it’s all because of the cloud computing courses online certification you had. Hiring managers will recognise and inform you that you have the necessary cloud computing capabilities, knowledge, and competence for the position. Cloud computing is a field that will develop at an enormous speed in the coming years. Pursuing cloud computing online training today will be a sensible decision in terms of career chances and higher pay.

Learn from an expert: Learning from an expert makes a significant difference in the quality of instruction that individuals get. Many students choose the cloud computing courses online learning method to improve their knowledge because of the Combine digital courses with virtual classroom training and learn from home flexibility and professionalism it conveys.

Learning is an ongoing process: If you take cloud computing courses online certification, you will be required to master all of the subjects and services to pass the exam. This keeps you engaged and concentrating on them for an extended time. As a result, you will have a complete understanding of the topics. Furthermore, passing the cloud computing courses online certification is not simple. You will have to study hard or enrol in professional best cloud computing courses online training that will teach you everything in a short time. Furthermore, cloud computing online training will provide you with several projects to work on, which you can put in your CV to strengthen your job profile.

Uses of cloud in different industries

As more businesses integrate the cloud into their infrastructure, providers have created tools and solutions expressly for those sectors to use. These sectors can also benefit from cloud solutions designed to serve different industries. We’ve highlighted five sectors that have incorporated the cloud into their verticals and how they use the cloud to their benefit.

Healthcare industry

For obvious reasons, the healthcare business prioritises customer safety, security, and privacy. To guarantee the correct handling of customer information, most cloud storage providers provide HIPAA compliance. Healthcare practitioners are gradually starting to use the cloud to store client data. Cloud-based diagnostic systems are another cloud healthcare development. These are medical diagnostic and therapy technologies that use machine learning and predictive analytics to make medical diagnosis and offer treatment alternatives.

Finance industry

Companies in any industry benefit financially from the cloud by removing or decreasing the expense of server upkeep. The cloud offers a plethora of services to offer the financial industry. Many banks and insurance companies have used SaaS packages to assist them in keeping track of data and handling other back-office duties. Capital markets use cloud-based AI and machine learning technology to help them build investment strategies and handle financial data.

Education industry

Cloud-based solutions are used by educational institutions to benefit both their personnel and their students. Academic and IT departments can keep student information safe and confidential by utilising cloud solutions that comply with a variety of standards. The cloud also promotes collaborative settings for students by giving the necessary application or service and engaging with one another. Many of these collaborative programs are expandable, allowing them to use a complete educational infrastructure.

Automotive industry

The most appealing aspect of technological solutions for the automobile business is staying current on their supply. This enables them to communicate with consumers more effectively and give exactly what they want. Having a standardised cloud platform for both automotive suppliers and manufacturers to communicate data guarantees that both parties are aware of the components that are accessible. Furthermore, as automatic cars become more widespread, cloud-based data analytics systems can assist automakers in interpreting the massive amounts of data generated by vehicles on the road.

Manufacturing industry

A manufacturing business can implement cloud solutions for every part of the manufacturing process. Most notably, there are several cloud-based enterprise resource planning solutions to migrate your business management practices to the cloud. It’s also quicker to funnel orders of any size through the same channels and deploy products to meet them.

Be a future-ready cloud professional with a certificate from Online Manipal

Online Manipal is offering Postgraduate Certificate Programme in Cloud Computing from the prestigious Manipal Academy of Higher Education. The six-month certificate course enables learners to be successful cloud professionals with the most coveted industry certificates. You will learn applications of various cloud platforms, such as Amazon Web Services (AWS) and Microsoft Azure, and its effective implementation in big and small organisations. The course includes case studies, two mini-projects, and a capstone project. Upon completion of the PGCP in Cloud Computing, you will be prepared to clear AWS Cloud Practitioner, AWS Developer, AWS DevOps Engineer, and Azure Fundamentals certificates.

Conclusion

The world of technology is always changing. To meet the expectations of the contemporary man, new software and products are developed daily. Cloud technology has the potential to be the decisive factor, particularly when it comes to being a forerunner of change.

It is the best time to work as a cloud computing professional. The market is seeing increased demand, and businesses are actively seeking professionals in cloud computing solutions.

Check out the PGCP cloud computing course on Online Manipal to learn fundamentals such as the basics of cloud computing. With all this theory learning, you will also get the chance to work on projects and case studies with a hands-on approach and help from industry experts.

What is cloud computing? Benefits of cloud computing & why you should learn it

All businesses and industries are moving towards the cloud because of factors like less operating costs, better collaboration, and improved flexibility. The cloud is the best way to manage a business, as it proffers several benefits. In this article, we will explore what is cloud computing and the benefits a company can gain by possessing cloud infrastructure.

What is cloud computing?

Cloud computing refers to utilising hardware and software provided through a network. The phrase derives from using a cloud-shaped symbol that depicts an abstraction of a highly complicated infrastructure that allows software, hardware, computers, and distant services to function.

Cloud computing is internet-based computing. People used to execute apps or programs from software downloaded onto a real computer or server in their building. Cloud computing provides anyone with access to the same types of apps over the internet.

The characteristics of cloud computing are that the processing takes place on a machine that is often remote and not actively in use. The data collected during this method is stored and analysed on remote servers. This means that the device connecting to the cloud will not have to work harder.

Cloud servers free up processing and memory resources by remotely hosting applications, platforms, and databases. Users can safely access cloud services by utilising credentials obtained from the cloud computing provider.

Benefits of Cloud Computing

Cloud computing is beneficial for organisations and even individuals in many ways. Below are some of the benefits:

  • Efficiency and cost reduction

You don’t have to spend a lot of money acquiring and maintaining equipment if you use cloud infrastructure, which significantly decreases CAPEX (Capital Expenditure) and Total Cost of Ownership. To expand your business, you do not need to invest in hardware, buildings, utilities, or the construction of a huge data centre. You don’t even need huge IT teams to manage your cloud data centre operations because you can rely on your cloud provider’s staff’s knowledge.

Downtime expenses are lowered. Because downtime is uncommon in cloud systems, you don’t have to spend time or money resolving any downtime concerns.

  • Data security

Protecting a company’s data is one of its top priorities, irrespective of size or sector. Security breaches and other cyber crimes can have a devastating impact on a company’s income, client loyalty, and brand positioning.

The cloud has several advanced security mechanisms that ensure data is safely stored and managed. Granular permissions and access control using integrated roles may limit sensitive information to only the personnel who need it, lowering the attack surface for hostile hackers.

Baseline safeguards, such as verification, access control, and encryption, are implemented by cloud storage providers for their platforms and the data they handle. Most businesses then enhance these safeguards with increased security to strengthen cloud data security and restrict access to the information in the cloud.

  • Scalability

Distinct businesses have different IT requirements; for example, a big organisation will not have the same IT requirements as a start-up. Using the cloud is an excellent solution since it allows businesses to quickly scale up and down their IT teams in response to business demands.

Cloud-based solutions are appropriate for enterprises with variable or escalating bandwidth requirements. If your company’s needs grow, you may quickly expand your cloud capacity without investing in physical equipment. This level of adaptability can provide organisations that use cloud computing with a significant competitive edge.

This scalability eliminates the problem with in-house operational costs difficulties. You have elevated available resources and professional solutions with no upfront costs. The cloud’s biggest benefit is its scalability.

  • Collaboration

Cloud environments improve team cooperation by exposing developers, QA, operational, protection, and product architects to the same infrastructure and allowing them to work concurrently without treading on someone else’s toes. Cloud roles and permissions provide improved visibility and monitoring of who performed what and when to minimise disputes and confusion. You can create various cloud environments for staging, QA, demo, or pre-production objectives. Transparent collaboration is considerably simple, and the cloud facilitates it.

  • Avoiding data loss 

Data loss, along with data security, is a critical problem for all companies. Storing your data on the cloud ensures that your data is always accessible, even if your hardware is broken. Cloud-based services provide rapid data recovery in emergencies, ranging from natural catastrophes to rolling blackouts.

Loss prevention can also be facilitated by cloud infrastructure. If you use a typical on-premises strategy, you will keep all of your data on office PCs. Despite your best attempts, computers can fail for several reasons, including malware and viruses, age-related component degeneration, and simple human mistake.

However, if you transfer your data to the cloud, it is available from any computer with an internet connection, even if your work computer fails.

  • Unlimited storage capacity

The cloud offers practically infinite capacity for storing any data in a selection of cloud data storage forms, determined by the availability, dependability, and consistency with which users must access the information. Storage costs increase in direct proportion to the quantity of data available, the quality of the data, and the frequency with which it is accessed. Creating and enhancing cloud cost structure policies can significantly reduce cloud storage costs while retaining the industry’s business goals bound to cloud data storage.

  • Mobility

Cloud computing enables mobile access to company data via smartphones and gadgets, an excellent approach to ensuring that no one is ever left behind. Staff who have a hectic schedule or reside a considerable distance away from the business headquarters can use this tool to stay in touch with clients and colleagues.

With a few clicks, resources on the cloud can be readily saved, retrieved, recovered, or processed. Users may access their work on the move, 24 hours a day, seven days a week, from any location globally as long as they are connected to the internet. Furthermore, the service providers perform all improvements and updates automatically and invisibly. This saves time and group commitment in system maintenance, significantly decreasing IT team responsibilities.

Reasons why you should learn Cloud Computing

We’ve listed a few reasons to guide you to choose a cloud computing course.

  • Future-proof your career

Cloud computing has served as the foundation for many IT systems and processes for the past decade. According to the study, this trend will continue in the next few years. The need for cloud computing abilities looks to be on the rise, with no indications of abating. Even non-technical job categories are increasingly necessary and expected to have a basic understanding of at least one cloud platform.

We can only make assumptions at this time. However, if you properly monitor and follow current work trends, it is becoming increasingly clear that computer skills will rule the industry market in the coming years. Cloud computing is at the forefront of the digital transformation revolution. There is a good chance that employment in the future will come from the expansion and development of cloud technology.

There has never been a better opportunity to understand Cloud Computing than right now. Whether you are an IT expert, a scholar, or just an ordinary person intrigued by technology, spending your money and effort in mastering cloud computing skills will be worthwhile. This is a decision you will not regret, and it will have a significant influence on your ability to secure a great future and job.

  • Increase your IT professional value

The best part is that if you already have the expertise and a job in the IT area, you will find it much easier to switch to and master cloud computing. You can also use the cloud to transfer your present skill sets in automation, programming, or networking. If you want to advance your professional position by upgrading your abilities to increase your compensation, you may start by acquiring a Cloud Certification. Cloud Certifications are an excellent approach to positioning oneself as a high-level IT professional. It will demonstrate your desire and commitment to stay relevant, which will eventually lead to possibilities for position advancements.

  • Personal growth and interest

Learning the complexities of Cloud computing is not usually motivated by a desire to land a job. If you are an enthusiast who enjoys inventing current answers to old issues, then learning cloud computing skills is also a good idea. Cloud providers have a plethora of technologies at their disposal that will expose you to innovative ways of fast-developing answers to real-world challenges.

  • Numerous possibilities

Because cloud computing is still in its early stages, there is plenty of room for new leaders and innovators. Becoming a cloud computing expert today gives you additional opportunities to advance in your firm or to take on more prominent responsibilities at high-profile organisations.

Obtaining the necessary expertise today allows you to be at the forefront of upcoming advancements. If you want to advance your profession and assure a better future, getting into cloud computing early boosts your chances of success.

  • Varied roles 

You are not confined to one sort of role if you wish to work with the cloud. You might even be a cloud architect, administrator, cloud security specialist, software engineer, or work in development and operations.

IT leadership jobs also need knowledge of cloud computing, since they will be making cloud infrastructure decisions for enterprises. Because professions varying from sales and marketing to human resources may all leverage cloud computing within a company, cloud computing executives must also be able to successfully make individuals in non-IT roles feel comfortable with cloud computing.

Common FAQs around cloud computing

Which workloads can I transfer to the cloud?

Although virtually every job can be transferred to the cloud, on-premises hosting is frequently more cost-effective for large, monolithic systems that operate continuously with reasonably stable and predictable loads. Furthermore, due to governance and data security concerns, highly regulated organisations choose to store apps and sensitive data in their data centres.
A business can deploy an application to the cloud in its current state, but this is rarely the best solution. Use a cloud migration to rethink your IT infrastructure and find areas for improvement. To make use of the IaaS service-based paradigm, an application can be divided into segments. Moving to PaaS or SaaS, on the other hand, may offload homogeneous heavy work.

Does cloud computing require coding?

Coding skills are not necessary for anyone who wants to work in cloud computing.

What is the cost of cloud?

As public clouds charge per user, charges will vary greatly depending on various factors, including the size of your environment, the provider, the location you operate in, the volume of data transit, and the number of higher-level services utilised.
The biggest public cloud providers also feature pricing plans that can reduce expenses in return for long-term commitments.
There is a lot of discussion about whether the cloud is cheaper or more expensive than conventional on-premises computing, but that is missing the point. The cloud assists an organisation and its IT branch to modernise and transition IT from its traditional function as a gateway to a vital player in the decision-making process for an enterprise’s business world.

What kind of training is required for IT employees to operate the cloud?

This is determined by the cloud stack layer. Administrators for IaaS must handle all parts of the virtualized environment supplied as a service. The less management there is, the further up the cloud stack you go. Oversight for SaaS can be confined to data and identity and access management.
Major cloud providers and third-party vendors give online training and certifications in cloud computing to help IT professionals become acquainted with these procedures. Enterprises planning to migrate to the cloud should include training in every stage of the procedure so that they are prepared to take over as the cloud goes live.

How can I get my company ready for the cloud?

A cloud migration plan can take more than a year to implement, and even then, it is a continuous effort. Communication is essential for success. Keep stakeholders updated regularly and ensure that IT is a part of the whole business decision-making process. Identify leaders who will advocate cloud use and ensure personnel is adequately prepared for the change.

What does resource pooling mean?

Resource pooling in cloud computing is a phrase used to describe a situation in which suppliers deliver temporary and expandable services to numerous clients and customers. These services may be customised to meet each customer’s demands while being invisible to the client or end-user.

Conclusion

Cloud computing popularity is increasing year after year, and it’s easy to understand why. Enterprises understand the benefits of cloud computing and how this affects production, collaboration, privacy, and income. An enterprise can avoid several challenges that affect firms that depend on on-premises technology by using a cloud-based approach.

If you want to learn how to effectively adopt the cloud for your business, or how to optimise your cloud performance, resource pooling in cloud computing and reduce costs, check out the Online Manipal for the cloud computing online course, the course provides IT experts with the credentials needed to advance into various types of cloud computing roles.

100% online PGCP Cloud Computing course from the prestigious Manipal Academy of Higher Education (MAHE) helps learners acquire all the necessary skills to emerge as future-ready cloud professionals. The curriculum covers emerging tech concepts that include DevOps, CI/CD, Jenkins, AWS Azure Synapse, Azure ML, Azure Data factories, and Data Bricks. This six-month-long programme also prepares learners to succeed in four cloud certifications – WS Cloud Practitioner, AWS Developer, AWS DevOps Engineer, and Azure Fundamentals.

Career options with an M.Sc. in Business Analytics

Big data and data science have become the buzzwords of today’s business world. The vast amount of data generated is a prospective goldmine for companies. To operate efficiently and perform competitively, companies need to employ analytics for decision-making.

If solving business problems and implementing data-driven strategies interests you, an M.Sc. in business analytics degree focusing on analytics may be the right choice for you. Diverse career options open up with an M.Sc. in Business Analytics. So, let us explore various promising career options after the completion of the best business analyst course.

What is M.Sc. in Business Analytics?

An M.Sc. in Business Analytics is a programme that delves into the data analytics aspect of business management. Business Analytics has become vital for the growth and sustenance of companies in today’s highly competitive world. Companies are increasingly using business analytics tools and techniques for faster and better decision making and problem solving.

This course covers both business and analytics concepts, allowing students to excel in various roles across sectors. It covers statistics and data analytics techniques, as well as business concepts, managerial methods and technological skills. 

What are the top career opportunities for Business Analytics graduates?

Several business analytics career opportunities are accessible, depending on which sector interests you the most after earning a masters in business analytics degree. Some of the business analytics career options are as follows:

1. Data Analyst

A data analyst collects and analyses data based on sales figures, market research, logistics, and other aspects. They use their technical knowledge to guarantee the quality of data and work toward processing and correctly displaying it, enabling the firm to make sound business decisions.

The day-to-day duties of a data analyst vary based on the business or specialisation under consideration. Data analysts interact with data scientists, IT teams, and management to identify corporate goals.

2. Supply Chain Analyst 

One of the primary objectives of a supply chain analyst is to enhance an operation’s performance. They accomplish this by determining the needs for a certain project and coordinating it with the other personnel or departments. Because engineers and quality assurance specialists must test their new supply chain processes, a supply chain analyst delivers the insights for a data driven decision. They also suggest techniques for enhancing performance, lowering expenses, and managing inventories.

3. Big Data Analyst 

A Big Data Analyst’s job is to research the industry by identifying, collecting, analysing, and communicating data to guide future business choices. A Big Data Analyst works with undiscovered data, patterns, hidden trends, and other things.

Some of the fundamental skills necessary to become a successful big data analyst are problem-solving abilities, the capacity to think critically in difficult situations, and creative thinking. When it comes to technical abilities, they must have programming abilities, quantitative and data interpretation abilities, and data mining and auditing abilities.

4. Business Analyst 

Company analysts strive to comprehend changing business demands, evaluate the effect of these changes, define and analyse requirements, and document and facilitate communication among all stakeholders. And nearly every domain has experienced an increase in prospects of business analytics. 

5. Predictive Modeller

You may not be familiar with the term “predictive modeller,” but it is a career category that falls under the umbrella of predictive analytics. Predictive models are programmes that generate predictions depending on the data provided to them. A predictive modeller is responsible for developing these models. They must also be well-versed in statistics, analysis, and technology because it is a relatively new and emerging profession.

6. Technical Team Lead

A technical team lead is a professional in charge of leading a technical team in any organisation. Their primary responsibility is to guarantee technological development is appropriately addressed,  products are of good quality, and they are delivered on schedule. They would need technical abilities, but also strong leadership and management abilities.

7.Programme and Marketing Manager

Marketing and programme managers are responsible for creating realistic and reasonable market efforts to increase awareness of the company’s services and goods. They are in charge of developing and implementing marketing strategies to increase sales.

8. Operations Research Analyst 

Operations Research Analysts advise managers and other decision-makers in businesses on handling problems. They employ advanced analytic and mathematical tools to make better judgments and solve challenges.

Scope of Master’s in Business Analytics

A business relies on Business Analytics to understand data and make choices based on market circumstances. It assists them in tracking performance indicators and deciphering the outcomes. All of these duties necessitate the use of individuals who are specialised to comprehend these situations and who have the specialities to give the organisation in-depth analysis.

Let us look at some of the more intriguing features of this domain.

  • This is a relatively new role in the field of management. The increasing internet usage and the introduction of social media have raised the importance of this role.
  • Descriptive Analysis, Predictive Analysis, and Prescriptive Analysis are the three basic analytical areas for this role.
  • Retail, IT, e-commerce, finance, and telecommunications are among the industries that seek people with an analytical background.

Scope of M.Sc. Business Analytics in the government sector

PG in business analytics has so far been an effective approach for advancing the corporate ladder. Also, business analysts are in high demand in the government sector, and many government entities use predictions to make appropriate judgments. Companies in the public sector also hire data analysts and scientists, data mining professionals, and qualitative analysts.  

Conclusion

Manipal Academy of Higher Education (MAHE) through Online Manipal now offers two-year M.Sc. in Business Analytics and one-year PG Certificate Programme in Business Analytics to produce future-proof Business Analyst and data professionals. Both programmes from this Institute of Eminence are designed and delivered by expert faculties.Students can enrol and pursue the course at their convenient time or pace.

While a PGCP programme covers basic concepts, the M.Sc. in business analytics programme will give advanced concepts in detail. A forerunner among the online degree providers, Online Manipal’s comprehensive online degree programme is designed for both working professionals and fresh students to launch a successful career in this trending domain. 

This takes us to the end of the article exploring career opportunities after obtaining an M.Sc. in Business Analytics. The sector is growing in popularity, and more employers seek M.Sc. graduates with analytical skills. The speciality has a bright future. Over time, there has been a growth in the need for professionals with an M.Sc. in Business Analytics. Upskill with the best business analyst course today and get started on your ideal profession. With the help of specialised mentor support and career advice, you can select from various disciplines and learn from the best.

How to get a job at Google after BCA?

In today’s technological epoch, computer specialists are in high demand. Most computer professionals aspire to work for organisations like Google or Adobe. Getting a position in such a high-profile organisation is no effortless task. In terms of job opportunities, many consider landing a job at Google as the ultimate destination. Around a million people apply for jobs at Google every year, but only a few are hired. With such fierce competition, your skillset must stand out even more.

A degree in computer applications like BCA opens many doors for job advancement. It is a three-year undergraduate degree course that takes you through computer application basics. It equips students with basic knowledge about computers and the systems necessary for an IT corporation. The BCA course has grown in popularity in India, but the demand for BCA has grown even more in international markets, opening doors for several jobs in the USA for BCA freshers. They have a plethora of options available to them, and they can find a decent career by applying for jobs in MNCs. With a degree in computer applications, you can work in software engineering, systems engineering, computer security, animation programming or engineering, and many other fields.

READ MORE: Can I get a job after BCA?

Can a BCA graduate get a job at Google?

Yes, after BCA, you could find work at Google. However, you must be exceptional, for Google to hire you. And you can do it if you have top-notch expertise and talents. Google is notorious for hiring people with unusual abilities. 

A pressing topic is the several changes and requirements in the IT business, particularly for BCA graduates working on the same initiatives as degree holders. Many IT organisations are shifting their hiring priorities toward BCA graduates, claiming that BCA graduates can do most of the tech requirements. So, in India and globally, the demand for IT specialists is rising. BCA starting salary in India is expected anywhere from INR 3-6 LPA on average, whereas BCA salary in the USA in the early stages of one’s career is $68,600 on average.

What qualifications do I need to get into Google?

Knowing what abilities Google is looking for in candidates is a great starting point. You can emphasise them on your CV and make them stand out during the interview. 

  • Collaboration 

Google is a location where individuals collaborate on challenges with uncertain answers. This necessitates open-mindedness, cognitive daring, a strong work ethic, and a high level of self-discipline. You have to illustrate that you value teamwork and you can work effectively in a group setting.

  • Being at ease with ambiguity 

Employees must be comfortable dealing with unpredictable circumstances. The challenge is that Google does not know how its venture will develop, and therefore they expect a lot of ambiguous circumstances. As a result, a candidate should be at ease dealing with such events when there are no simple fixes.

  • Management

Google strives for individuals who can inspire and encourage others to pursue their thoughts, regardless of their rank. Management is more about being present when a problem arises and then moving away once resolved. In a nutshell, you must recognise when it is suitable to show leadership or when it is not.

  • Skill to take on challenges

What counts most are your problem-solving abilities because mastering them implies you’ll be able to handle practically any scenario. The recruiters will be interested to see how competent you are at fixing issues by posing role-related queries to you. It is preferable to provide creative solutions rather than give the correct response in this situation. 

  • Excellent technological abilities 

You must have excellent tech skills. Don’t just learn programming languages; understand them. Don’t just memorise algorithms; understand why and how they function. Learn why data structures work the way they do, not just how they work—master mathematics rather than memorising trigonometric formulae. Most hiring managers can recognise people with competence; therefore, your qualification will become less important as you get older.

  • Inventive genius

You don’t have to be a genius to get employed at Google. Intelligence is important, but it is not the most important factor. If you exemplify a trait like “Inventive genius,” you’ll have a high chance of finding employment at Google. It combines a technologically-oriented mindset with an infinite supply of ideas and approaches to challenging problems. Analytic cognition and the power to reflect on a topic from various perspectives are required for smart creation. 

Types of job roles you will get at Google

The job roles at Google require you to think out of the box. People with strong creativity always explore both sides of an issue, using the knowledge they gather to come up with answers and approaches that others might not have considered. The key job roles are:

  • Cloud Technical Solutions Engineer
  • Cloud Engineer
  • Developer Programme Engineer
  • Technical Solutions Specialist

Expected BCA salary in Google

On an average, a BCA graduate working for Google gets anywhere between INR 10-11 lakhs per annum. However, this number can vary based on several criteria, the most important of which is the institution where they earned their degree. 

Key skills required to get into Google after a BCA degree

A job in Google after BCA requires abilities that should be the perfect blend of technical and non-technical skills.

Technical skills – Networking, Google App Engine, issue resolution, HTML, HTTP, OpenStack, Troubleshooting, and Open source

Soft skills – Customer support, interpersonal skills, time management, etc.

Steps to get into Google after BCA

Scroll down to get an answer to the question “How to get job in Google after BCA?”

  • Earn a BCA degree

The foremost step is to earn a BCA degree from a reputed institute. The focus of BCA is to improve students’ software skills and develop their computer application skills. This prepares students for industry requirements, allowing them to succeed in the IT industry. It gives students a strong theoretical basis and practical skills in several sectors.

  • Pursue an internship to gain technical skills

Entering the workforce can be difficult, especially if you have no prior experience. Internships are a fantastic method for college students, recent graduates, and anybody thinking about changing careers to gain vital job experience. It gives you a glimpse of the career you aspire to explore. You may be exposed to a variety of parts of a company’s operations to assist you in discovering the work you want to do full-time. Internships can help you get useful work experience, complete an education assignment, and contribute to your CV. They also stand you in good stead for the challenges of today’s jobs in the following ways:

  • Acquire practical job experience
  • Consider your choices for a career
  • Get a competitive advantage in the employment marketplace
  • Develop and improve your abilities
  • Obtain monetary compensation
  • Make connections with experts in the field
  • Boost your self-assurance
  • Get an entry-level job to gain experience

An entry-level position is a vital step in the right direction in your pro career. Entry-level positions allow you to gain experience and learn new skills that you can apply to future jobs and lead to advancement within your firm. In addition, entry-level professions encourage personal growth through responsibilities, commitment, and teamwork.

  • Upskill yourself with certifications

The advancement of technologies has culminated in recurring emerging requirements and demands of various industries. It creates new and evolving employment positions that require employees to be up-to-date on their niche skills. You will become more informed of industry patterns and advancements in your career if you routinely take courses and workshops that will help you expand your knowledge repository. Upskilling yourself will open up more career prospects, allowing you to progress up the corporate ladder. 

  • Apply at Google

Finally, it’s time to apply for BCA jobs at Google. Before that, have a solid idea of what job would be a perfect match for both you and your background. If you want to work in the tech field, ensure you put your talents to the test by practising digitally through side projects. Ensure that you know what types of jobs suit your abilities and that you’re expanding your expertise by working on projects or taking classes that align with your goals.

Google interview questions

During a Google interview, prepare to use a whiteboard to describe your responses to logical, programming, and algorithm queries. You’ll also have to answer certain Google behavioural interview questions. Let’s have a look at some Google interview questions on the procedure.

  • Which Google product is your favourite, and how would you enhance it?
  • Explain the difference between coding and programming.
  • How do you stay accountable?
  • Tell me about a time when you set and achieved a goal?
  • What is DEADBEEF?
  • Explain the two-sum problem. In how many ways you can solve it?
  • Is it possible that five minus two equals 4? How?
  • How to explain programming and programming languages to a 10-year-old?
  • How many ways can you find all the triplets in a given array of n distinct elements with a sum equal to 0?
  • Write code to search if an array has a majority element. If you answered yes, you should print it.

Top companies which hire BCA graduates

After completing a BCA, the possibilities are infinite, with professions ranging from software analyst to computer programmer. The tremendous advancement of the technology sector necessitates the hiring of BCA graduates, and hence, demand is rising. Companies are looking for young people who are very efficient. Apart from Google, the finest companies for a BCA graduate to work for are Microsoft, Amazon, Adobe, etc. 

Top Indian companies which hire BCA graduates

In India, the IT sector is growing faster, with more and more MNCs hiring computer specialists and establishing employments that require an understanding of computer applications. Companies recruit BCA students on a broad scale, so graduates have a lot of work opportunities. These well-known corporations frequently send representatives to top institutions with attractive packages to recruit top students who are also skilled communicators. If you want to know which companies hire BCA graduates, below mentioned are the leading Indian companies that hire BCA grads:

  • Wipro
  • HCL
  • TCS
  • Cognizant
  • Aricent
  • Infosys
  • HP

Master your technical skills with an online BCA degree from Online Manipal

The online BCA curriculum at Manipal University Jaipur produces tomorrow’s geniuses by combining the most recent breakthroughs in digital technology, a focus on logic and innovation, and the marketplace’s growing norms. The programme includes The Google Cloud Computing Foundations curriculum, which covers topics spanning from cloud architecture to application development, and will expose you to the range of cloud technology through ideas, hands-on exercises, exams, and a capstone assignment. You can take live sessions from the comfort of your own home, study around your speed, and take online proctored tests.

This online BCA programme, delivered through the Online Manipal platform, adheres to the most up-to-date pedagogical standards, backed by a staff that is well-versed in the industry’s ins and outs. It provides advanced training opportunities that build and expand competencies that are necessary across professions and may apply to a wide range of career roles. The total programme fee for online BCA at Manipal University Jaipur is INR 1,20,000. Students are provided with various payment choices to pay their expenses in semester-by-semester instalments.

Conclusion

Without a doubt, Google is a fantastic organisation in many aspects, and there are many reasons to choose to join there. Do not expect your mere college education to suffice. Learning from your college textbooks and terminologies would never get you into a company like this. Take the initiative to think in a fresh way. A BCA degree will surely help you land your dream job, provided you are focused and determined to get the best. Many top recruiters are looking for recent BCA graduates to offer better career opportunities. Hope we answered all your queries about “Can a BCA student get a job in Google?” So go ahead and make a wise professional decision by enrolling in the Manipal University Jaipur’s online BCA programme.

MBA BFSI course syllabus

Online MBA in BFSI – semester-wise syllabus

Banking and Finance syllabus as mandated by different universities and colleges:

Semester 1Semester 2Semester 3Semester 4
Managerial EconomicsOperations ManagementManagement Control SystemsMutual Fund Management
Accounting and Finance for ManagersCorporate CommunicationCommercial Banking and Role of RBIBusiness Environment and Ethics
Marketing ManagementResearch Methods for ManagementBanking and Insurance MarketingStrategic Management
Principles of Management and Organisational BehaviourQuantitative Techniques for ManagementFinancial Institutions and ServicesMerchant Banking
Human Resource ManagementManagement of Banking and Insurance Companies

What is the scope of an MBA in BFSI?

Why should you enrol for an M.Sc. in Business Analytics?

With the combination of M.Sc. in Business Analytics curriculum, students will gain a deeper understanding of general business fundamentals such as global issues and macroeconomics, leadership development, and more specialised subjects such as business analytics programming, machine learning, decision analytics, data analytics, etc. This degree programme develops executives in such a way that they can quickly switch between data analysis and strategic decision-making. 

Why is Business Analytics important?

Business analytics is the process of gathering, integrating, sorting, analysing, and transforming data into business insights using statistical models and approaches. It aids in deciding which datasets are relevant and how you may use them to address issues and boost production, efficiency, and income. The business analytics process involves using statistical tools such as measurements of central tendency, graphs, and so on. It also entails the management of information system software such as data mining and sorting processes. The sector is also concerned with the application of operations research methodology. The industry is concerned with identifying, visualising, and disseminating patterns or trends in datasets. Given the significance of business analytics, it may be characterised as a technique that begins with collecting business-related data and includes the sequential application of descriptive, predictive, and prescriptive primary analytic components. It aids in corporate decision-making and improves organisational effectiveness. Business analytics is all word for two distinct domains of practice:

  • Business Intelligence
  • Advanced Analytics

Business intelligence (BI): Business Intelligence is often descriptive, focused on the tools and tactics used to locate, gather, and analyse raw data about past or present occurrences. It is the practice of analysing historical data to determine how a product line or department within a company fared during a given period. Querying, reporting, and online analytical processing are examples of Business Intelligence practices.

Advanced analytics: It is a relatively recent development that entails in-depth statistical analysis, such as predictive analytics performed by applying statistical algorithms to historical data. It aids in forecasting how new services or products will affect sales. Advanced analytics approaches include cluster analysis, data mining, and simulation algorithms.

The purpose of an M.Sc. in Business Analytics

M.Sc. Business Analytics has a wide scope in several applications, and below are some details: 

  1. You may use it for descriptive analysis, which uses the information to comprehend the past and present condition.
  2. It is utilised for predictive analysis, typically used to assess historical company execution.
  3. It is also used for prescriptive analysis, which aids in developing advanced systems for better company performance.

Business analytics is relevant in every sector because it gives real-time solutions to challenges. This field is important and serves as a springboard for a dream job. With the introduction and integration of the internet into every area, data analytics has become a foundation that accelerates growth in every organisation and industry. 

The Business Analytics programme is open to professionals with a bachelor’s degree in any area with Statistics as a subject. Work experience is desirable to apply for M.Sc. in Business Analytics.

Career growth after M.Sc. in Business Analytics

Reputable organisations hire market analysts based on their expertise, ability, and experience. According to McKinsey’s survey, 58 per cent of respondents at top-performing firms had strong functional knowledge in data engineering, data science, data architecture, and analytical transformation. 

M.Sc. graduates in Business Analytics can find work in various industries such as information technology, healthcare, financial institutions, e-commerce, and so on. Some of India’s top recruiters for Business Analytics specialists are Boston Consulting Group, Accenture, Capgemini, Wipro, and Amazon. Here is a list of a few top careers and employment opportunities available after completing an M.Sc. in Business Analytics India:

1. Data Scientist

A data scientist is a subject matter expert in the field of data. During their job, they employ scientific, mathematical, and technical approaches to collect, structure and categorise the data, applying various methods to acquire insightful data, and using the insights to generate forecasts and reports. As a data scientist, you can expect to earn between INR 4 lakhs and INR 8 lakhs.

2. Business Analyst

Business analysts thoroughly examine every area of a company, and they must be completely knowledgeable about the company and its operations. A business analyst must analyse everything and give insightful knowledge on improving the firm, including marketing, advertising, accounting, finance, procurement, supply chain, and distribution. A business analyst’s income ranges from INR 4 lakhs to INR 7.5 lakhs. 

3. Information Technology Analyst

An IT analyst is a computer professional who manages an organisation’s IT infrastructure. IT analysts are some of the most significant professionals responsible for organisational efficiency and performance, from maintaining the systems to developing the infrastructure. IT analysts can enhance existing systems or build whole new ones. They must also oversee the company’s IT operations. IT analysts may earn anything from INR 2 lakhs to INR 12 lakhs.

4. Quantitative Analyst

A quantitative analyst must be well-versed in mathematical and statistical data collecting, collation, and interpretation methodologies. Their primary responsibilities are around finances and risk management. They give meaningful data to many organisations and professions, mostly those involved in investing. Findings are typically correct since their approaches are primarily based on hard facts. This is a very profitable career, with salaries ranging from INR 5 lakhs to INR 15 lakhs.

5. Project Manager

A project manager is assigned to any assignment in a corporation, although there are professional project managers whose primary responsibility is to oversee projects. Because this role is all about project management, their primary responsibility is to evaluate and analyse the task at hand, seek insights, and distribute tasks to team members accordingly. They must also guarantee that the team members are motivated and working correctly and that the project is completed on schedule. Project managers income ranges from INR 4 lakhs to INR 8 lakhs on average.

6. Business Data Analyst 

The primary responsibility of a data analyst is to collect and analyse data for the benefit of the organisation’s business. They are professionals in data collection using various ways. They also establish collecting data and guidelines for organising and quantifying that data. Following the study, they deliver informative findings and recommendations to the organisation to improve its profitability. Data business analysts earn between INR 4 lakhs and INR 12 lakhs per year.

7. Analytics Manager

Analytics managers are responsible for organising an organisation’s analytics operation. They must design strategies and manage the execution to achieve effective data reporting, gathering, and analysis. They must also evaluate their analytics solutions regularly and, if necessary, improve or replace the systems. Analytics managers are paid between INR 10 lakhs and INR 20 lakhs.

8.  Data Architect

A data architect is an individual in charge of an organisation’s data infrastructure. Data architects conceive, design, and manage the whole data architecture. They must blend creativity with technical expertise because they are in charge of deciding how data will be collected, stored, categorised, and managed within an organisational framework. Data architects are finding work in various businesses as the value of big data grows. As a result, their wages range from INR 4 lakhs to INR 25 lakhs.

9. Technology Analyst

Companies that rely on technology to function require the skills of a technology analyst. They thoroughly examine the company’s operational technology and must make changes to that technology. This might be a technological upgrade or a full renovation. They must also consider the time and money required. This is a highly specialised role that necessitates extensive technical expertise on the part of the candidate. Their average pay ranges from INR 6.5 lakhs to INR 9 lakhs.

Skills necessary to become a business analyst

According to the GMAC Corporate Recruiters Survey 2019, more than half of recruiters consider data analysis and interpretation abilities as important as problem-solving and collaborating with others. According to LinkedIn research, firms will need analytical thinking, business analysis, and data science capabilities in 2019. The following abilities are necessary to pursue a career in business analytics:

  • Communication abilities
  • Technical Capabilities
  • Management Capabilities
  • Ability to Make Decisions
  • Ability to Analyse
  • Critical thinking abilities
  • Negotiation Capabilities

Salary and employment statistics for M.Sc. Business Analytics

According to LinkedIn statistics, a data scientist job position is rated first among the most promising careers of 2019, with a typical base pay of USD 130,000 in the United States. As per payscale.com, the average base salary of Business Analyst in India is INR 612,281. 

Earn an online M.Sc. Business Analytics degree from Online Manipal

The prestigious Manipal Academy of Higher Education (MAHE) is now offering an online M.Sc. in Business Analytics degree through Online Manipal platform. This online degree programme from MAHE, an Institute of Eminence, is a cutting-edge programme to build future-ready talents in the Business Analytics domain. You can enrol and pursue the course from the comfort of your home without putting an halt to your work or other commitments. The entire learning material is available on the state-of-the-art learning management system, that can be accessed using any device even in the low bandwidth internet. 

Conclusion

A degree in Business Analytics is a rewarding professional option. M.Sc. in Business Analytics degrees are in high demand, and some of the well-known companies looking for business analytics expertise include McKinsey & Company, KPMG, Morgan Stanley, Infosys, Boston Consulting Group, Wipro, Microsoft, Adani Group, Tata Group, Facebook, Google, Capital IQ, Linkedin, American Express and many more. With a proper training by expert faculties

Who should opt for an M.Sc. in Data Science?

In today’s data-driven world, the demand for skilled data scientists continues to skyrocket across industries. As businesses increasingly rely on data to gain valuable insights and make informed decisions, the field of data science has emerged as a promising and lucrative career path. One educational option that has gained significant popularity is pursuing a Master of Science (M.Sc.) in Data Science. But who should consider this advanced degree? Who can benefit the most from the rigorous curriculum and specialized knowledge offered by an M.Sc. in Data Science? In this blog, we will explore the answer to this question and shed light on the individuals who can truly harness the power of this program to unlock exciting opportunities in the dynamic world of data science. 

Data Science is getting popular 

As organisations around the world are adopting a data-driven approach to streamline their day-to-day operations, data analytics and data science are getting prominence across sectors. Data is the backbone of cutting-edge technologies, including AI, Machine Learning (ML), Deep Learning (DL), and IoT. The demand for data science professionals is high as companies undergo digital transformation by adopting niche technologies to run their businesses effectively. According to the US Bureau of Labour Statistics, tremendous growth is in the offing for the data science field and predicts the number of jobs will increase by about 28% through 2026. When we convert that 28% into the numbers, it roughly rounds up to at least 11.5 million new jobs in the field. 

A data science professional can find a lucrative career opportunity in almost all the industries, especially financial services, e-commerce, social media platforms, FinTech, banks, supply chain, and transportation, to name a few. A quick career progression is also possible for skilled talents. 

Master’s in new age-technologies is important 

Given the rate of adoption of new-age technologies, including data science, AI-ML, cloud computing, blockchain, IoT and others in different industries, several job roles are getting generated every day. Organisations are looking for talents with niche skills to lead the implementation and maintenance of these technologies. A master’s degree in any cutting-edge technology will help professionals acquire a significant job role and soon climb the career ladder to reach a leadership post. 

Higher education institutions are now offering postgraduate courses in all the cutting-edge technologies. MTech, MCA, MBA, and M.Sc. courses are available with specialisations in data science, AI-ML, cloud computing, and other new-age technologies. Each master’s degree focuses on different purposes. For example, an M.Sc. in Data Science helps students acquire the necessary theoretical and practical aspects of the subject. It also opens a window for further research in the domain. Whereas an MBA with a specialisation in Analytics and Data Science will help a candidate enter a managerial role in the domain.  

How a master’s in data science will help you 

As noted above, a master’s degree in data science is the best learning option for students to confidently kick off a career in the world of data. With a postgraduate degree, a candidate can directly join a significant position with a decent salary because the course helps learners acquire advanced knowledge and skills in this emerging technology. It emphasises building strong skills in data analytics, database management, data visualisation, machine learning, algorithms, advanced programming languages, and more. An M.Sc. in Data Science is targeting experienced professionals to help them develop and enhance competencies in data science and realise a career advancement. Several roles are available for data science professionals, such as data scientist, data architect, data analyst, business analyst, machine learning expert, and others. Professionals with M.Sc. in Data Science can enter the leading roles in top companies. 

For a Quick Read: Is data science hard? 

Advantages of an M.Sc. in Data Science 

Following are some of the benefits of an M.Sc. in Data Science. 

  • Technical skills 

You are a good fit for data science M.Sc. programmes if you are good with tackling a data-centric problem and deriving multiple solutions, have a detailed understanding of tools and techniques, enjoy automating routine data-related tasks, derive insights from raw data, create dashboards, solve a business problem based on data analytics. Getting an M.Sc. degree will take your existing skills and help you in polishing them to become a successful professional. 

  • Personal skills 

Understanding your personality traits can also guide you in deciding if you should go for a career in data science. Innovation, creativity, curiosity, eye-for-detail, problem-solving approach, and advanced analytical skills are personal skills that will help you become a successful data science professional. 

  • Future career 

Data is used by every organisation and in every field. There is a growing demand for data science professionals who can look at data, understand the trends and draw inferences. An M.Sc. in data science for working professionals would open doors for a life-long career as a data/business analyst, data modeller, data scientist and even top management positions in esteemed global organisations. 

  • Growth 

Based on your skill set and interests, you can further specialise in more advanced subjects like machine learning and artificial intelligence. These are some of the most promising career options, and an M.Sc. in data science will set you apart from your peers. 

  • Ready for challenges 

Working as a data scientist is not a routine job. Along with great rewards, you will also be expected to have impeccable technical knowledge and deliver results for challenging work. You will be required to look at data so that a normal person would not draw answers to problems. So, if you are up for this, you should think about selecting data science in M.Sc. 

  • Suitable for working professionals 

It is an excellent career move to get an M.Sc. in data science for working professionals as it can pivot their career ten-folds in just 2-3 years. Since M.Sc. in data science is a holistic course, the skills and knowledge that M.Sc. imparts are far greater than what you will learn on the job. Various colleges in India offer part-time data science M.Sc. programs that you can undertake along with your existing jobs. 

M.Sc. in Data Science opens vast career options 

A data science professional can develop expertise in any field based on their interest. After M.Sc. in data science, you can get a job in marketing if you are skilled in understanding consumer behavioural patterns or go for a consulting job if you want to frame strategies based on data and like travelling. Some of the career options available to you will be- 

  • Marketing analytics manager 
  • Statistician 
  • Data scientist 
  • Data visualisation expert 
  • Business analyst 
  • Big Data analyst 
  • Sales analyst 
  • Business intelligence analyst 
  • Risk analyst 

These functions of an organisation consume data and require someone who can derive insights and build dashboards from the raw data available. An M.Sc. in data science would give you the required skills for these roles. 

An M.Sc. in data science, along with your existing qualification, would arm you with advanced technical skills and knowledge that would pave your way for a successful career as a data science professional. 

Getting an online M.Sc. in Data Science from Online Manipal 

India’s premier university Manipal Academy of Higher Education (MAHE) now offers an online M.Sc. in Data Science through the Online Manipal platform. The Government of India has conferred Institute of Eminence status for the quality of education and features. This online M.Sc. programme is UGC entitled and is designed for working professionals aspiring to progress in their careers. The programme will equip you with the technical skills you need to build a distinctive career in Data Science. With a perfect blend of machine learning, big data analytics, and statistics, the programme intends to prepare you for analytical and leadership roles in various sectors. Gain experience in machine learning application, and predictive modelling, solve problems with real-world data, learn how to efficiently work in teams, develop strategic and tactical recommendations, and manage processes, work and people. 

For your successful career trajectory: Is Data Science a good career option for you? 

How to enroll in an online M.Sc. in Data Science at Online Manipal 

The eligibility criteria for the online M.Sc. in Data Science at Manipal Academy of Higher Education (MAHE) are as given below: 

  • Graduates in Statistics/Mathematics/Computer Science [BSc/BE/BTech/BCA] or an equivalent degree studying the subjects for a minimum of 2 years from universities/institutions recognised by the Association of Indian Universities (AIU) with a minimum of 50% of marks or equivalent grade. Programming knowledge is a prerequisite for admissions to this programme 
  • Two years of work experience in a reputed organisation 
  • Candidates need to upload a Statement of Purpose Video 

For international students, an Equivalency Certificate from AIU is required for their degree courses. Students and professionals holding NRE, PIO status, residing outside India and/or students and professionals who are not Indian citizens are considered international students and are eligible to pursue MAHE’s online degree programmes. All such students and professionals will be billed an international fee for their respective degrees and may need to submit documents mentioned but not limited to CV, address proof, valid visa, PR card, and passport copy as part of the application process. 

You can submit your application online at www.onlinemanipal.com by providing the required details. Once you provide the required details, MAHE admission counsellor will reach out to you to assist with the application process. Alternatively, you can call us at +91-7330 300 600 or email info@mahe.www.onlinemanipal.com, and we will assist you with the application process. 

To complete the initial application process, you are required to provide your personal details, academic details, work experience details, and pay an application fee of Rs. 1500/-, upload the eligibility documents and finally upload the Statement of Purpose (SoP) video. 

Conclusion 

Professionals with M.Sc. in Data Science should be interested and willing to learn and adapt new and upcoming data science-related skills. They need to be creative, solution-oriented, have an eye for detail and focus on data analytics. Selecting data science for M.Sc. can be the steppingstone in your career that many of you might be looking for to reach a greater height. This field has a lot of scope for growth and learning potential, and an M.Sc. would only increase these multiple times and increase your earning potential. Working professionals will benefit a lot from getting an M.Sc. in data science as it would help them upskill and get ahead in the organisational hierarchy quickly. You need to decide for yourself if you should go for an M.Sc. data science course, and if you do, it will surely be an upward journey from there. 

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