Enroll Now

Top industries you can work in after MBA in business analytics

In the current dynamic and data-driven business environment, the demand for experts in business analytics is experiencing increasing growth. Industries in different sectors now realize the power of data analytics. This has resulted in the rise of analysts with data-driven decision-making.

Business analytics is at the core of modern enterprise as every organization seeks to generate actionable insights from the raw data to track trends, patterns, and opportunities. An MBA concentrating in business analytics offers students a blend of business knowledge and analytical skills. Let’s learn about the career paths in various industries for MBA Business Analytics grads.

Also read: Is an MBA in business analytics a good option for a product management career? – Online Manipal

Industries you can work in post-MBA in Business Analytics

The following section describes various job opportunities for MBA Business Analytics professionals in different industries:

  1. Finance and Banking

MBA graduates in Business Analytics meet growing job demand in financial institutions and the banking sector. They may conduct financial analysis utilizing analytics to establish market trends, evaluate investment portfolios, and mitigate risks. Furthermore, they are crucial players in the area of fraud detection and prevention by unearthing unusual patterns of transactions.

The sector expects professionals to have strong quantitative as well as analytical abilities. Moreover, a clear understanding of regulatory frameworks and the ability to apply analytics for adherence are required.

  1. Healthcare

In the health industry, individuals with an MBA in Business Analytics help develop outcomes that improve patient care and experience, operational efficiency, and cost-effectiveness. They could be employed as healthcare data analysts, use analytics in hospital workflow optimization, enhance patient care through predictive modeling, and assist in strategy planning for healthcare organizations.

Healthcare analytics specialists should comprehend the complexity of working with various sensitive data that are subject to strict privacy rules. They are expected to work with medical professionals and understand the needs of their colleagues, then translate them into analytical solutions.

  1. Retail and E-commerce

The primary role of Business Analytics professionals in retail and e-commerce is to create a better customer experience, efficient supply chain network, and effective marketing strategies. They can be e-commerce analysts and use data to understand customer behavior and demand forecasts and improve the efficiency of marketing programs.

Becoming skillful in data visualization, understanding consumer patterns, and having an aptitude for working with big data sets are the must-haves for the industry.

  1. Technology and IT Services

Individuals with an MBA in Business Analytics can be found as data scientists or as business intelligence analysts in the technology area. They participate in the product development process and provide insights into customer relationship management. These individuals contribute to strategic decision-making by analyzing user behavior, market trends, and product performance.

Extensive programming knowledge, proficiency with data visualization tools, and awareness of the latest technologies are paramount in the job market. These professionals fill the gap between technical teams and business stakeholders, translating informational and data-driven insights into actionable strategies.

  1. Supply Chain and Logistics

Data analytics professionals in inventory management, distribution processes, and supply chain effectiveness provide for supply chain and logistics through maximization, streamlining, and improved efficiency. They can be a part of a team of supply chain analysts using analytics to predict demand, cut costs, and enhance overall efficiency. These experts are required to implement solutions that address problems like demand fluctuation, delivery optimization, and stock inventory.

  1. Marketing and Advertising

In the marketing and advertising industry, individuals with an MBA in Business Analytics develop and set up targeted marketing campaigns, customer segmentation, and analysis of advertising effectiveness. They are involved in marketing analysis, applying data to refine marketing plans, analyze campaign effectiveness, and find new market spaces.

Data interpretation creativity, fluency in marketing analytics tools, and an enriching understanding of consumer behavior are core requirements. Those working in marketing analytics need to balance the quantitative elements of analytics with the creative and strategic elements of marketing.

Also read: MBA in business analytics course guide – Online Manipal

  1. Telecommunications

In telecommunications, Business Analytics professionals contribute to the optimization of networks, customer churn prediction, and data-driven strategy implementation to improve customer satisfaction. They could act as telecom data analysts by applying analytics to increase service quality and optimize the network infrastructure.

To be able to grasp the intricacies of telecommunications networks, the competence of statistical modeling and the application of such in the real-time data stream are critical.

Also read: MBA in Business Analytics vs MSc in Business Analytics – Online Manipal

IndustryRoles and Responsibilities
Finance and BankingFinancial analysis, risk management, fraud detection
HealthcarePatient outcome analysis, operational efficiency improvement
Retail and E-commerceCustomer behavior analysis, demand forecasting
Technology and IT ServicesData science, business intelligence, product performance analysis
Supply Chain and LogisticsInventory optimization, distribution process improvement
Marketing and AdvertisingMarketing strategy optimization, campaign performance analysis
TelecommunicationsNetwork optimization, customer churn prediction

Also read: Roles to explore after an MBA in Business Analytics – Online Manipal

MBA in Business Analytics with MAHE

The Manipal Academy of Higher Education (MAHE) has an MBA in Business Analytics program that trains students on how to apply and interpret business management skills in conjunction with advanced analytics expertise. The degree program involves a wide range of subjects, including business strategy, data management, data analysis, machine learning, and data visualization. The program also consists of practical components such as projects and internships.

MAHE’s faculty members unite practical industry experience and academic theory in the classroom so that students get the best education and mentorship. MAHE establishes a learning-conducive environment with all the modern facilities such as hi-tech infrastructure and laptop studios. Having the latest and up-to-date tools, software, and technology at their disposal is critical for students taking up business analytics.

Conclusion

In conclusion, a master of business administration in analytics exposes students to advanced skills in a variety of industries. It allows them to work on various challenges and possibilities. Graduates can find themselves in financial decision-making, supply chain optimization, healthcare improvement, or marketing.

The need for professionals who can combine business expertise and analytical ability will continue to be on the rise. Therefore, it brings promising and attractive job opportunities for MBA Business Analytics professionals.

Top industries you can work in after MBA finance

An MBA in Finance is one of the most sought-after degrees. It opens many doors of advancement in the finance sector. These include financial advisory, asset management, financial consulting, and other related fields.

The degree equips students with domain-specific knowledge. It helps them excel in different fields like risk management, corporate finance, investment management, and financial analysis. In addition, it offers many networking possibilities. Thus, students gain access to career chances in finance by connecting with recruiters, alumni, and industry professionals.

Finally, an online MBA program offers career counseling, job placement support, and internships. These help students explore their career options and successfully find jobs in the finance industry. However, there are different skill requirements for finance professionals in different sectors. Let’s explore these skills and the various career-supporting industries.

Industries you can work in post-MBA in Finance

Career options in various industries for MBA finance grads are plenty. Let’s examine each of these sectors in more detail with a focus on job roles in finance across diverse industries:

  1. Financial Analysis

Financial analysts work in banks, companies, and consulting and investment firms. A financial analyst advises people or companies on profitable investment options. The optimal plan for ongoing growth is determined by analyzing financial data, industry trends, and market expertise. Analyzing business news, financial data, and economic trends are all part of your work. You are required to build financial models and forecast financial trends as well.

Develop analytical skills and critical thinking on your journey to be a financial analyst. Familiarize yourself with financial analysis tools.

  1. Investment Banking

Investment bankers offer many financial services to businesses, organizations, and governments in reaching their financial goals. Identifying new business prospects and conducting in-depth research on market conditions and trends are two other crucial job responsibilities. Additionally, you will perform financial modeling before creating and presenting clients with suitable financial solutions.

If you are thinking about becoming an investment banker, focus on developing quantitative skills, financial knowledge, and strategic thinking. You will also need to learn to keep up in a fast-paced environment. Investment bankers often travel to meet with clients or attend meetings, and they typically work long hours in an office setting.

  1. Management Consultancy

Management consultants assist businesses in resolving difficulties, creating value, maximizing growth, and improving corporate performance. Their main areas of concern are a company’s operations, management, structure, and strategy. It is their responsibility to determine the organization’s choices, provide change recommendations, and offer advice on additional resources needed to put solutions into action.

Since management consultants’ work is varied, candidates require strong analytical and problem-solving skills, effective communication, and the ability to collaborate with diverse teams. Moreover, management consultants frequently visit client sites, which requires them to adapt swiftly to different conditions and challenges.

  1. Financial Advisory

An advisor’s role in finance is to understand a client’s financial goals and then work with them to develop plans of action. To achieve this, financial advisors must be able to recognize and evaluate market trends as well as offer wise financial guidance based on a range of financial indicators. In addition, financial advisors analyze portfolio performance and provide customers with financial education.

Since this field involves working with the client, you will require proficient interpersonal and empathy skills. Attention to detail and analytical thinking are also crucial. Financial advisors can work for wealth management organizations, banks, or financial services firms. They can also work independently.

  1. Business Analytics

Business analysts use statistical methods and data analysis to gain insights and guide organizational decision-making. They gather and examine information from diverse sources, spot patterns and trends, and produce useful suggestions to boost company productivity. Risk management, operations research, and marketing analytics are a few possible specializations for business analysts.

Proficiency in statistical modeling methods, programming languages, and data analysis tools is required for this position. Business analysts work together with teams from different departments to convert data insights into initiatives and plans for the company.

  1. Corporate Finance

A corporate finance specialist is critical to ensuring effective financial management inside the organization. To maximize company performance and profitability, they examine financial data, assess investment prospects, and create financial strategies. They are essential to the company’s financial health and expansion. They help with risk assessment, offer senior management insightful financial information, and facilitate strategic decision-making.

Corporate finance professionals must possess an understanding of accounting standards and corporate governance practices. They work closely with CEOs, department leaders, and external stakeholders to facilitate company growth and profits.

  1. Portfolio Management

Portfolio managers manage investment portfolios for clients, including institutional investors, high-net-worth individuals, and mutual funds. To obtain the desired returns and control risk, they create investment strategies, assign assets, and track the performance of their portfolios. Good portfolio managers analyze the market, assess potential investments, and decide whether to acquire or sell assets based on their analysis and assessment.

Strong risk management abilities, an eye for good investment opportunities, and the capacity to handle erratic market situations are requirements for this position. Investment advice businesses, hedge funds, and asset management companies are businesses that usually employ portfolio managers.

IndustryRoles and Responsibilities
Financial AnalystAnalyzing data, forecasting trends, and financial modeling 
Investment BankingMarket research and financial modeling
Management ConsultancyOperations, management, structure, strategy, change management
Financial AdvisoryEvaluating market trends, offering financial guidance, and analyzing portfolio performance
Business AnalyticsRisk management, operations research, and marketing analytics
Corporate FinanceExamining financial data, offering insightful financial information, and facilitating strategic decision-making
Portfolio ManagementCreating investment strategies, assigning assets, and tracking the performance of portfolios

MBA in finance with MAHE

The Manipal Academy of Higher Education (MAHE) offers a Master of Business Administration in Finance. This course can help you widen your horizons in the field of finance as it offers domain-specific knowledge. You can also leverage this course to boost your earning potential and, thus, open new doors of opportunities.

Students have flexibility with the program’s online features. There are four semesters in the program, which allows for a comprehensive curriculum. Reputed and seasoned professors with industry networks teach the program. Thus, learning and networking opportunities in top industries for MBA finance grads are many.

Conclusion

An MBA in Finance from MAHE provides graduates with specialized knowledge in areas such as financial analysis, advisory, management consulting, and more. Graduates can confidently and expertly pursue fulfilling jobs in financial analysis, corporate finance, portfolio management, and other fields with excellent networking opportunities, professional development resources, and an extensive curriculum.

Unleashing the potential of predictive analytics in data science

Predictive analytics is a transformative field within data science that empowers organizations to forecast future trends, behaviors, and outcomes. By leveraging advanced statistical algorithms and machine learning techniques, predictive analytics enables businesses to make informed decisions, mitigate risks, and seize opportunities. In this article, we’ll delve into the significance of predictive analytics in the realm of data science. 

Understanding predictive analytics 

Predictive analytics involves using historical data and statistical algorithms to identify patterns and trends, allowing organizations to make predictions about future events. This process goes beyond descriptive analytics, which focuses on summarizing and interpreting historical data by providing insights into what might happen next. 

Key components of predictive analytics 

Data collection: 

The foundation of predictive analytics lies in collecting relevant and high-quality data. This may include historical records, customer interactions, market trends, and various other sources that contribute to a comprehensive dataset. 

Data preprocessing: 

Before analysis, data must be cleaned, transformed, and prepared for modelling. This step ensures that the predictive models are accurate and reliable by addressing issues such as missing values, outliers, and inconsistencies. 

Feature selection: 

Identifying the most relevant features or variables that influence the outcome is crucial. Feature selection helps streamline the predictive modelling process and enhances the model’s performance. 

Model building: 

Predictive models are constructed using machine learning algorithms. Common techniques include regression analysis, decision trees, neural networks, and ensemble methods. The choice of the model depends on the nature of the problem and the characteristics of the dataset. 

Training and testing: 

The model is trained on historical data and then validated on a separate dataset to ensure its ability to generalize to new, unseen data. This step is essential for evaluating the model’s accuracy and effectiveness. 

Also read: Grow your career with a master’s in data science 

Applications of predictive analytics 

Business forecasting: 

Predictive analytics aids in forecasting sales, demand, and market trends, providing businesses with insights to optimize inventory management, production planning, and resource allocation. 

Customer relationship management (CRM): 

Organizations use predictive analytics to understand customer behavior, anticipate needs, and personalize interactions. This enhances customer satisfaction, retention, and loyalty. 

Financial risk management: 

In the financial sector, predictive analytics is employed to assess credit risk, detect fraudulent activities, and optimize investment strategies, contributing to better decision-making and risk mitigation. 

Healthcare management: 

Predictive analytics is applied in healthcare for disease prediction, patient outcome forecasting, and resource allocation. This contributes to proactive and personalized healthcare strategies. 

Check out: Top data modelling tools you must know 

Master key data science concepts with MUJ’s online MBA in Analytics and Data Science 

Manipal University Jaipur’s online MBA in Analytics and Data Science provides a comprehensive understanding of predictive analytics principles, functions, and applications. The program equips students with advanced skills in data analysis, machine learning, and statistical modelling. Through industry-relevant coursework, participants gain practical insights into leveraging data for strategic decision-making. The online format allows for flexible learning, accommodating working professionals’ schedules. By delving into real-world applications, this program empowers individuals to develop a deeper understanding of predictive analytics, positioning them for success in data-driven roles across various industries.  

Conclusion

Predictive analytics is a game-changer in data science, allowing organizations to move beyond hindsight and make proactive decisions. By harnessing the power of predictive modelling, businesses can gain a competitive edge, optimize processes, and navigate the future with confidence. As the field continues to evolve, the integration of predictive analytics into data science practices will be instrumental in unlocking new possibilities and driving innovation across various industries. 

What is the difference between PGCP data science and MSc data science?

Data is a business’s most powerful resource. It can be a tool for making decisions as well as for telling a story. Better data enables faster business decisions than ever before. All businesses, regardless of industry, must get into the data business to thrive in the current economic climate.

Data-centric roles are critical to the operations of any successful business using big data in the twenty-first century. In other words, since data science is the way of the future for commercial decision-making, demand for it is rising. The CAGR of India’s data science education sector is reported to be 57.52%. 

To become a part of the supply side to this demand – or to work in data – you must study it thoroughly and get a strong grasp of it. Master of Science (MSc) degrees in data science and Post Graduate Certificate Programs (PGCP) are two popular choices. PGCPs and MSc degrees in data science serve distinct purposes and aim to achieve different career goals. Let’s understand the difference.

Check it: Is data science hard?

PGCP Data Science

Learners can grasp cutting-edge data science and machine learning tools and techniques like Python programming, database administration and SQL, statistical techniques for data science, EDA & feature engineering, and data visualization with the aid of the Postgraduate Certificate Program in Data Science & Machine Learning. This extensive nine-month program gives students practical experience through intense micro and big projects, as well as mentoring meetings.

MSc Data Science

MSc Data Science is an interdisciplinary degree program that focuses on the primary disciplines of calculus, descriptive statistics, and programming to better comprehend various phenomena involving a large quantity of real-world data. The data science field generates some of the highest-paying employment in the IT business, making it one of the best degrees to pursue globally in 2024. For this reason, a lot of students are interested in doing this two-year degree to further their careers.

Curriculum Comparison

The emphasis of the Post Graduate Certificate Program (PGCP) in Data Science is on industrial tools and real-world applications. It provides a practical learning experience by emphasizing real-world situations and the application of instruments frequently seen in the sector. The program is meant to provide pupils with the abilities they need to start working right away.

The Master of Science (MSc) in Data Science, on the other hand, places more emphasis on advanced procedures, research approaches, and theoretical concepts. It explores subjects including statistical inference, machine learning techniques, and data mining as it digs into the fundamental ideas of data science. Thesis work and research-focused projects are essential parts of the curriculum.

Must read: Tools covered in MAHE’s M.Sc. in Data Science

Admission Requirements

Entry criteria for the PGCP Data Science program
Graduate from a recognized institute/university with a qualifying degree that includes mathematics, statistics, or programming.
Must have at least 50% aggregate marks in graduation.
Entry criteria for the MSc Data Science program
10+2+3-year bachelor’s degree in statistics, mathematics, computer science, engineering, technology, or any other field after completing at least two years of coursework in statistics or mathematics at an accredited college or university or an equivalent degree.
A minimum of 50% in aggregate marks is required for candidates.
Experience is preferred.

The key difference between the two in terms of academic and professional prerequisites is the work experience.

Target Audience

The best candidates for a PGCP in Data Science are individuals with a great interest in real-world applications and a drive to pick up skills that are needed in the field right away. The ideal candidate will have a background in computer science, mathematics, or statistics and show a strong desire to use data analytics tools in their work.

On the other hand, the best candidates for an MSc in Data Science usually have a strong interest in researching, investigating cutting-edge techniques, and studying theoretical ideas. They have undergraduate degrees in comparable subjects and hope to work in academia, research facilities, or as data science leaders in businesses.

When making decisions, it’s critical to take job objectives and aspirations into account. This will help people select the program that best fits their intended career path and the skills they need to succeed in the workplace in the future.

Recognition and Accreditation

PGCP Data Science (MAHE)MSc Data Science (MAHE)
NAAC A++UGC-entitled
NAAC A++
AICTE-approved

Quick read: Career-readiness with an online program from MAHE

Career Opportunities

Career paths after completing a PGCP in Data Science
Data Analyst
Statistician
Infrastructure Analyst
Data Governance
Budget Analyst
Career paths after completing an MSc in Data Science
BI Developer
Data Modeler
Data Analyst
Systems Analyst
Statistician

Cost and Duration

MSc Data SciencePGCP Data Science
Financial InvestmentINR 2 LakhsINR 1.5-3 Lakhs
Duration24 months6-12 months

Make the right choice with MAHE: PGCP Data Science and MSc Data Science

The Post Graduate Certificate Program (PGCP) and Master of Science (MSc) in Data Science offered by MAHE (Manipal Academy of Higher Education) give students a variety of opportunities to meet their academic and professional objectives.

Selecting MAHE guarantees admission to a respectable university with a track record of academic success for either the PGCP or MSc in Data Science. The university gives students a competitive edge in the rapidly developing field of data science because of its dedication to remaining at the forefront of industry developments and its robust network of industry ties. For individuals looking for top-notch data science education, MAHE is a dependable option, whether they choose a longer, more hands-on program or a thorough, research-focused curriculum.

Conclusion

In conclusion, a person’s career objectives, academic interests, and desired skill sets all play a role in the decision between a PGCP and an MSc in Data Science. The MSc program offers a deeper academic understanding and experience focused on research, while the PGCP offers a shorter, more practical approach ideal for direct industry entry. While both programs serve distinct target audiences and professional goals, MAHE guarantees superior instruction and gives students a competitive advantage in the fast-paced data science industry. To succeed in the data-driven world, people must carefully consider their alternatives and choose an option that best fits their goals for their careers and future dreams.

Complete career transformation with MUJ’s online MBA program 

MUJ’s online MBA program emerges as a beacon of opportunity, offering a flexible yet robust curriculum designed to equip aspiring business leaders with the skills and knowledge necessary to thrive in the corporate realm. With MUJ’s reputation for academic excellence and its commitment to providing a dynamic online learning environment, individuals can confidently chart a path toward career advancement and success. Embarking on the journey of pursuing an online MBA from Manipal University Jaipur (MUJ) marks a pivotal moment in one’s career trajectory. In today’s competitive landscape, pursuing higher education often means navigating through a maze of challenges. Yet, for Pragya Gupta, Abhi, and Pratiksha Tiwari, their journey with Manipal University Jaipur’s (MUJ) online MBA program has been nothing short of transformative. 

Guided support for career elevation 

Pragya Gupta shares her experience of receiving invaluable guidance from mentors who are dedicated to facilitating student success. She says, “The mentors are very helpful and take special effort in guiding us through the program. I had a good experience with the online examination process at Online Manipal. I hope to explore a career in HR after completing my online MBA program.” 

Pragya Gupta, MUJ MBA 

Must read: A Glimpse of the Online Business Degrees at MUJ

Seamless transition for excellent career 

I had a fantastic experience at MUJ. The university’s reputation precedes it, and I’m confident that the degree I earned will be highly valued. The pedagogy employed by the faculty is exceptional, providing a solid foundation for students. Additionally, the flexibility of the program caters to individuals from various backgrounds, making it accessible and adaptable. Without hesitation, I would wholeheartedly recommend this degree to others seeking a quality education.

Varshita, MUJ MBA 

Quick read: Why candidates with MBA/Masters degrees are preferred for management & leadership roles?

Flexible learning opportunities 

Another one of our learners, who is a working professional with aspirations in HR, delves into the flexibility and accessibility of MUJ’s online MBA program. Pratiksha explains, “As a working professional, I did not have to quit my job to pursue this online MBA degree. Moreover, with certain work experience in HR, I wanted to enhance my knowledge through this program. This degree is a great opportunity for working professionals who can study without taking a career break. I had a great relationship with my mentor, and I enjoyed my experience with Online Manipal. 

Pratiksha Tiwari, MUJ MBA 

MUJ: The best choice for online learning 

Pursuing an online MBA from MUJ is an astute career move with boundless advantages. Renowned for its academic excellence and flexible learning options, MUJ ensures that professionals can elevate their career prospects without compromising on their existing commitments. The program offers a comprehensive curriculum delivered by experienced faculty, empowering students with the knowledge and skills needed to excel in today’s dynamic business landscape. Moreover, MUJ’s online platform provides convenient access to resources and opportunities for networking, enhancing the overall learning experience. With MUJ’s online MBA, individuals can unlock doors to new career opportunities and propel themselves towards success in the ever-evolving corporate world. 

Analytical roles in the financial industry

The emergence of Fintech has led the financial industries worldwide to evolve. According to estimates, by 2030, the prospective Indian Fintech business is anticipated to generate $200 billion in revenue and $1 trillion in AUM. Big data analytics is starting to be used more and more by banking and finance functions (risk, marketing, operations, collections, regulation, governance, reporting, etc.) to maximize performance. As a result, there is a growing need for highly qualified professionals to take up data-driven roles in the finance sector. Let’s explore the analytical roles in finance along with the qualifications and skills needed in detail.

Types of analytical roles in finance

  1. Financial Analyst

Examining and interpreting financial data and other pertinent information is a key responsibility of the financial analyst. To forecast future performance, they work on investment prospects and examine the company’s financial status.

Skills required:

  • Technical skills
  • Soft skills
  • Financial modeling
  • Quantitative skills
  • Problem-solving abilities

Qualification required:

  • A bachelor’s degree, ideally with a major in statistics, finance, or economics
  • Other highly regarded majors are math, accounting, and even engineering

Tools/technologies required:

  • Hyperion
  • SAP
  • SQL
  • Quickbooks
  • Big data
  1. Risk Analyst

Risk analysts assist businesses wishing to expand into new markets or regions or make investments. They examine strategies and offer financial guidance to boost or maintain earnings, reduce risks, and foster expansion. They collect data, examine and assess financial and statistical documents, and carry out risk assessments for businesses and organizations.

Skills required:

  • Excellent communication skills
  • Analytical and technical skills
  • Problem-solving skills
  • Industry and market knowledge
  • Negotiation skills

Qualification required:

  • A bachelor’s degree (preferably a BBA or B.com) with a specialization in finance, banking, insurance, risk management, or economics
  • Optionally, post-graduation in M.Com or MBA with a specialization in risk management, finance, or business analytics

Tools/technologies required:

  • Machine learning
  • Big data
  • SQL
  1. Budget Analyst

A budget analyst uses historical data analysis to develop financial reports and budgets for organizations. They evaluate planned budgets, keep tabs on expenses, and assist the management in making financial plans for the future.

Skills required:

  • Numerical ability
  • Research skills
  • Financial forecasting

Qualification required:

  • A bachelor’s degree in accounting, finance, or a similar field
  • Specialized certification courses in financial planning, budgeting, and analysis

Tools/technologies required:

  • Tableau
  • Python
  • Machine learning
  • Big data
  1. Financial Qualitative Analyst

Financial qualitative analysts review bond, stock, and other investment performance as well as opportunities for investment and decision-making. They assist people and businesses in making decisions about whether to hold, purchase, or sell securities by explaining their recommendations.

Skills required:

  • Analytical skills
  • Research skills
  • Problem-solving skills
  • Detail-oriented
  • Proficiency in the latest tools and software

Qualification required:

  • A bachelor’s degree in a quantitative subject, such as finance, economics, mathematics, or statistics

Tools/technologies required:

  1. Financial Planning & Analysis Analyst

A crucial task in financial planning and analysis (FP&A) is creating strategies that will guarantee the financial stability of clients through financial analysis, forecasting, and modeling. FP&A professionals integrate financial information, analysis, and viewpoints from various fields to facilitate efficient financial planning and decision-making.

Skills required:

  • Financial modeling and forecasting
  • Data analysis and strategic thinking
  • Technological proficiency
  • Business acumen & ethical standards

Qualification required:

  • A bachelor’s degree
  • A post-graduate degree in MBA or M.com with a major in finance, business, accounting, and economics

Tools/technologies required:

  • MS-Excel
  • SQL
  • Machine learning

Skills required for analytical roles

Skills needed for analytical roles in finance include:

  • Analytical and Mathematical Skills 

Analytical and mathematical abilities enable you to identify answers to a wide range of issues and to formulate specific judgments and plans of action to address those issues.

  • Proficiency in Data Analysis Tools and Software

To improve accuracy and efficiency in financial reporting and analysis, analysts need to be familiar with data analysis tools and software. Various technologies, such as blockchain and machine learning, are being integrated into financial systems.

  • Financial Modeling Skills

An analyst wouldn’t be able to accurately evaluate risk or choose wisely to invest without financial modeling skills.

  • Attention to Detail and Accuracy

It is one of the important skills required for analytical roles since it enables you to see potential issues early on and take action to resolve them, saving time and money.

  • Effective Communication Skills

Analysts must possess the ability to concisely and effectively present complicated data results and help their team understand difficult analytical concepts.

Industry applications of analytics in finance

  • Banking

One of the biggest industries for financial analysts to work in is banking. These analysts support banks in assessing risk related to lending, liquidation, and other important public services. 

  • Insurance

One of the main industries where financial analysts are employed other than banking is insurance. Financial analysts assist insurance firms in determining the risk associated with covering a specific person or piece of property and in determining the appropriate premium amount.

  • Corporate Finance

Financial analysts in corporate finance departments support the organization in making wise financial projections, cost-cutting strategies, and investment decisions.

  • Government

Financial analysts help governments make investments and forecast future trends in the economy as a whole by utilizing financial data. When getting ready to develop a budget or draft legislation, this knowledge of financial analysis can be extremely helpful.

  • Asset Management Companies

The financial analyst’s job is to analyze and evaluate information from many sources to assist in choosing the best possible asset allocation and investment plan.

  • Investment in Digital Transformation

To maintain profitability and adapt strategically to dynamic market conditions, financial institutions are investing in digital transformation and utilizing data to gain a competitive edge.

  • Huge Demand for Analytics Role

A report predicts that by 2026, the sector will generate over 11 million new jobs. Investments in AI and machine learning are expected to rise by 33.49% by the end of the year.

  • Advanced Financial Analytics Techniques

To better understand the behavior, interests, and demands of their customers, financial institutions will employ advanced analytics techniques like deep learning, graph analytics, and natural language processing (NLP).

  • Cloud-Based Data Analytics

Cloud-based banking analytics platforms will see an increase in use as they offer institutions flexible, affordable, and scalable solutions.

  • Blockchain-Based Technology

It is anticipated that the incorporation of blockchain technology will significantly influence financial analysis. The benefits of blockchain include improved security and transparency in financial transactions.

Conclusion

Digital technology is going to be the foundation of financial institutions (FIs) as banks and other financial organizations evolve to become data-driven businesses. Big data analytics is starting to be used more and more by banking and finance areas (risk, marketing, operations, collections, regulation, governance, reporting, etc.) to maximize performance. As a result, there is a growing need for highly specialized data-driven roles in the finance industry. Thus, if you are looking to make a career in financial analytics, opt for MAHE’s undergraduate or postgraduate course in analytics. This course is specially designed to meet the needs of the latest industry trends and standards.

Key concepts covered in a MA Political Science

A Master of Arts in Political Science is an advanced and specialized course at the postgraduate level for students interested in understanding the nuances of politics – both national and international. The course is designed to help students study the various political processes in detail and their impact on our everyday lives. This blog aims at elaborating the fundamental concepts in MA Political Science courses as well as the future scope for students upon course completion in terms of the job prospects available. 

Key subjects covered in MA Political Science

MA Political Science is a two-year program taught at the postgraduate level. The program is divided into 4 semesters with 15-20 hours of weekly learning. Students pursuing MA Political Science courses essentially gain learning in the following fundamental concepts covered during the program:

  • Indian Government and Politics: A key subject covered in MA Political Science courses, it emphasizes understanding the gradual transfer of power from the British to the Indian government. Students also learn in depth the workings of the Indian government and the vital role it plays in the political system of the country.
  • Major Ideas and Issues in Public Administration: Among the various political theories in MA Political Science courses, stress is laid on learning in detail the key ideologies and issues surrounding public administration. While discussing in depth the major challenges, it also highlights the effective solutions for improvement in public administration.
  • International Politics: As the name suggests, this area of study focuses on better understanding the political scenario around the world (outside India). For example, learning US politics and elections is necessary to widen your understanding of political scenario in the world’s oldest democracy. International relations in MA Political Science courses are always given prime importance. While learning more about the global political situations, students are also taught the importance of peace and harmony in the political relations between different nations.
  • Modern Indian Political Thought: This concept covered in MA Political Science courses revolves around analyzing the modern political ideas and thoughts in the Indian political system that have helped shape the system as we know it today. 
  • Government and Public Policy in India: A thorough public policy analysis in MA Political Science courses is a common area of study. Particular emphasis is laid on the public policies designed by the Indian government in the larger common interest of the society. Students also learn the potential impact of these policies on their common everyday lives.
  • International Political Economy: This subject in MA Political Science courses focuses on the close relationship between the world economy and global politics. It helps students understand the dynamics regulating the distribution of wealth and economic power around the world.

As the political strategy takes the center stage in Indian and world politics, political science students have a lot to learn from Lok Sabha elections.

MA Political Science course curriculum

We discussed above the key concepts covered in MA Political Science courses. The table below highlights the different subjects taught as part of the program curriculum per semester:

Semester Subjects taught
1Major Ideas and Issues in Public Administration, Political Theory, Interpreting Modern India, Indian Government and Politics, Comparative Politics: Concepts and Methods
2Politics in India, Western Political Thought, Environment & Climate Change, International Politics: Theory and Issues, Political Sociology of India
3Governance and Public Policy in India, Modern Indian Political Thought, India’s Foreign Policy, Research Methodology, Theory and Practice of Democracy 
4Indo-Pacific Emerging Trends, Dissertation and Viva Voce, Gender and Politics, International Political Economy

Key skills you will gain after MA in Political Science

A Master of Arts in Political Science equips you with the necessary skills and advanced learning in the world of politics. These skills can be truly handy in pursuing several lucrative career options upon graduation. The list below enumerates each of the key skills that MA Political Science courses imbibe students with:

  • Effective communication: This is one of the most vital skills awarded by the program, which is particularly useful in the world of politics too. It allows you to articulate your thoughts well and talk convincingly about the pressing issues confronting the nation.
  • Political research and analysis: Yet another skill that would come in handy when analyzing a given proposed policy or political decision from various angles to ensure that it is in line with the interests of the common man.
  • Active listening: In the field of politics, you need to be a good listener, just as much as a good speaker or communicator. What is even more important is active or alert listening skills to ensure that you don’t end up missing out on something that was said randomly in the passing but had serious implications.
  • Planning and decision-making: As a leader in the political realm, you are required to make critical decisions time and again. MA Political Science courses train you in the planning and decision-making stages, ensuring that your decisions impact the common man in the right way.
  • Critical thinking: Before planning and making decisions comes the thinking stage, which needs time, devotion, and patience. The course equips you with the desired patience, thinking, and analytical abilities for rational decision-making. 

Career options with an MA in Political Science

What does an MA in Political Science finally lead to? Let us look at some of the key job roles that are up for grabs after pursuing the two-year postgraduate degree in the subject:

Expected job roleJob descriptionAvg annual salary (approx)
Government Relations SpecialistOffers information to legislators on specific issues, reviews all government regulations governing various industries, tracking varied legislations and govt. reportsINR 18 lakhs – 50 lakhs per annum
DiplomatDraft reports and proofread them for accuracy, work for the protection of the nation’s interests, negotiate international treaties and agreementsINR 15 lakhs – 27.6 lakhs per annum
Legislative AssistantOffer support to lawmakers, conduct research and help with varied admin duties, prepare legislative reports, communication, and PR on the legislators’ behalfINR 7,27,917 lakhs – 12,35,005 lakhs per annum 
Political JournalistCollect and provide accurate information on current political events concerning the government and various political parties, reporting on political news from around the world INR 6 lakh – INR 7 lakh per annum
Public AdministratorResponsible for overseeing expenses, carrying out safety inspections, consulting on issues that concern the common public interest INR 5 lakh – 7 lakh per annum

Conclusion

A Master of Arts in Political Science can be your perfect key to opening the doors of success in several prestigious job positions in the government, media organizations, and academia. Sikkim Manipal University offers this program in 100% online mode on the Online Manipal portal. The university is accredited by NAAC which makes the degree recognized globally by various top organizations. In addition, advanced knowledge of comparative politics in MA Political Science courses

prepares you for assuming critical job roles in the relevant global industries at significant pay scales.

How to become a global leader in the healthcare sector with an MBA in healthcare management with MAHE!

A significant advancement in the delivery of healthcare is about to occur in the current ecosystem. The COVID-19 pandemic has shown us that digitally connected business models with data at the center help healthcare businesses become more resilient, adaptable, and inventive. The industry is now experiencing a need for change and to speed up the process of making healthcare more digitally capable.

Over the next five years, 80% of healthcare systems intend to increase their investment in digital healthcare technologies. This innovation and change in the health sector must be driven by the conviction of strong leaders. In the modern corporate world, strong ethical leadership is, therefore, essential to a company’s success and sustainability. An MBA can help you develop strong leadership skills. Let’s explore the role of an MBA in hospital administration and the global opportunities for healthcare management graduates.

The role of an MBA in healthcare management

Medical and health services managers’ employment is expected to expand by 18% between 2019 and 2029, significantly faster than the average for all occupations. With an MBA in Healthcare Management, students can become leaders in the healthcare industry while learning conventional business skills. You will have a thorough understanding of the healthcare industry and be able to improve patient and community outcomes with this degree.

MAHE’s role in shaping global healthcare leaders

Manipal Academy of Higher Education (MAHE), ranked NAAC A++, is among the few Indian higher education institutions with the Institute of Eminence status. It provides ten specializations in both existing and emerging fields as part of its online MBA program. The unique features of the MAHE MBA program include:

  • It has world-class faculty and industry experts.
  • Innovative learning management systems (LMS) give students access to educational materials like lecture recordings, short videos, reading materials, and more.
  • A fully functional team of student support representatives promptly addresses all technical and academic concerns.

Building a strong educational foundation

Education in the field of healthcare management is essential to guaranteeing the provision of patient-centered, high-quality, and economical treatment. It equips professionals with the know-how and abilities required to address the intricate problems that face healthcare systems. Healthcare management education plays a critical role in preparing the leaders and managers of tomorrow’s healthcare systems.

The MAHE MBA program provides an industry-specific methodology. Students will benefit from a range of industry-focused learning modules and projects that will help them acquire practical insights. The course also emphasizes helping students succeed in all managerial jobs by strengthening their strategic thinking and decision-making skills.

Developing industry-specific expertise

Upon completion of the two-year, four-semester MBA in Healthcare Management program, students will possess the knowledge and abilities required to comprehend health economics and effectively manage healthcare. A wide range of topics are covered in specialized healthcare courses and electives, such as policy and compliance, healthcare quality analysis, hospital planning, infrastructure management, health insurance, and health informatics.

Additionally, gaining a thorough understanding of healthcare laws, policies, and technology is critical since it enables you to identify standards and compliance methods for regulatory matters. This involves overseeing medical product labeling, advertising, usage, and regulation, as well as the compliance of medical items both before and after they are put on the market.

Leveraging global networking opportunities

One of the best ways to overcome healthcare gaps is to expand your network and, with it, your pool of possible solutions for difficult problems. Expanding the network would make it simpler to close significant healthcare gaps and give vulnerable patients safer, better care. Networking can assist you in achieving your objectives, whether they be to advance your career, locate new employment, or work with other experts.

Gaining access to peers with varying age groups, locations, and work experiences through enrollment in MAHE’s MBA program allows you to grow your professional network. MAHE regularly hosts guest lectures and webinars that allow students to network with academics, professionals, and subject matter experts.

Practical experience through internships and projects

Through internships and projects, students can gain real-world experience and practical expertise in the healthcare industry. Students and recent graduates can learn directly about the inner workings of healthcare organizations, hone their abilities in practical settings, and comprehend the complex nature of patient care through these experiential learning opportunities.

The government has launched several skill development initiatives in partnership with industry to train individuals for jobs in the healthcare sector. The Healthcare Sector Skill Council (HSSC), the National Skill Development Corporation (NSDC), and Skill India have all had a significant positive impact on the healthcare industry.

Fostering leadership skills

To do their duties well, healthcare managers need a wide range of leadership abilities. Key leadership attributes needed in the healthcare sector include empathy, effective communication, maintaining a high ethical standard, leading by example, caring for others, self-discipline, and tech proficiency.

MAHE’s MBA program in Healthcare Management provides a platform for professional growth and a pathway to academic achievement. MAHE’s extracurricular programs and curriculum, which are intended to enhance the learner’s overall growth, help develop leadership qualities.

Navigating challenges and opportunities in the global healthcare landscape

Challenges

  • The scarcity of doctors
  • The inability to obtain basic healthcare services
  • Inadequate opportunities for upskilling or retraining
  • Inadequate base IT infrastructure and incompatibility with current technology

Opportunities

  • AI and language learning technology can improve the overall efficiency of healthcare administration.
  • New positions in the medical field are emerging.

Automation, artificial intelligence, and digitization are driving changes in the healthcare industry. As a result, there is a greater need for qualified administrators and healthcare professionals. Future managers need to be aware of the ever-changing political landscape, regulatory frameworks, and disruptive technologies that make up the dynamic external environment. Healthcare management MBA holders are better equipped to lead strategic projects and negotiate challenging healthcare environments as they have a unique skill set that blends business acumen with the knowledge of healthcare systems.

Does an MBA in healthcare with MAHE help with better career prospects?

Pursuing an MBA in Healthcare Management at MAHE would be beneficial for those who want to start successful administrative careers in the healthcare industry.

  • You will receive in-depth industry knowledge, including healthcare legislation, regulations, and new trends, by enrolling in the MAHE MBA program in healthcare.
  • Graduates can apply their analytical thinking, problem-solving, and decision-making abilities to tackle healthcare issues from a business perspective.
  • Industry-focused curriculum offers a range of industry-focused learning opportunities, modules, and projects to assist students in obtaining practical insights.

Conclusion

The healthcare industry is one of the biggest and fastest-growing sectors of the world economy. This expansion across multiple industries could present healthcare management specialists with a wide range of new work opportunities. An MBA in Healthcare Management can be used to gain the knowledge, skills, and connections needed to pursue leadership positions in the healthcare industry. Ready to open up your leadership chances and worldwide healthcare management opportunities? Pursue your MBA in healthcare management with MAHE.

How to upskill and find a job after a career break?

According to a recent report, in 2022, 79% of working professionals in India were planning to upskill, which rose to 83% in 2023. Upskilling is essential as jobs evolve, and its relevance and importance is said to rise in the coming years. If you have taken a career break, it can be intimidating to look for a job after that. You might wonder how to start a job after a long break. But you need to remind yourself that no matter how long your break is, you can always get back into the workforce if you possess the relevant skills and knowledge to keep pace with global market trends. All you need to do is look for the job profile you want to work in, learn about all the technical and behavioral skills, and pursue a course if necessary to upskill yourself. Read more: Top online degree courses to upskill yourself

The need to upskill

Upskilling after a career break is extremely necessary. Staying relevant in your field or acquiring new skills is crucial for a successful return to the workforce. Here’s why it is very necessary to upskill to restart your career.

Stay current: Industries often have specific standards and regulations that evolve over time. Upskilling ensures that you are aware of and compliant with the latest industry standards.

Acquiring job-ready skills: You have a better chance of getting a desirable job if you have the relevant technical and behavioral skills for the profile. Nurturing your existing skills and learning new skills help you to be updated with the latest industry standards and trends. You can also negotiate for a better salary after upskilling yourself. 

Keeping pace with technological advancements: The job market is experiencing tremendous innovation in the field of digital technologies. Upskilling allows you to adapt to new technologies, tools, and software that may have emerged during your career break. 

Staying competitive: Industries and job requirements are constantly changing. Upskilling ensures that you remain competitive and aligned with the latest industry trends, technologies, and best practices. Upskilling yourself will also help you to discover interesting new fields and enable a successful career transition.

Networking opportunities: Pursuing online programs to upskill provides opportunities to network with professionals in your industry. Networking can lead to valuable connections, mentorship, and potential job opportunities.

How to upskill?

Follow these steps to successfully upskill yourself after a career break. 

Refresh your knowledge and skills: Start by assessing your career path. Do you possess the relevant skills needed to restart your career? If yes, then great! If not, then look for a relevant course or program that you can pursue in order to brush up your existing skills and gain new skills. Enrolling in accredited courses will give you an opportunity to re-enter the workforce.

Pursue an online course: Online courses are flexible, accessible, and affordable. Pursuing an online course is the simplest way to upskills yourself.  Today, there are tons of accredited online programs available and you can choose the one that fits you the best. You will gain advanced knowledge, industry-relevant skills, and be able to build a professional network-all of which is necessary to restart your career. 

Expand your professional network: Use your existing connections,reach out to your ex-colleagues and try to connect with professionals who will be of help to your career trajectory. You never know who may be of help. You can also attend industry seminars, conferences and webinars to network with professionals. 

Read more: How an MBA helps in building your professional network

Update your CV: Experts suggest it is better to mention your career break in your CV. Individuals take career breaks for multiple reasons- family commitments, sabbatical or redundancy at work. So, there is no need to hide your career gap. During your interview, explain why you took a career break, and highlight your skills to convince the recruiter that you are fit for the job.

Are online degree programs the best way to upskill?

Many universities and institutions offer UGC-recognized online courses in various domains. You could easily find online courses in various domains. You need to consider the course relevant to the field of your interest in which you want to pursue a career. You can fill in the gaps in your resume by upskilling yourself with an online course. It indicates that you are still willing to learn new skills and take up new challenges.

Some of the other benefits of opting for online programs are as follows: 

  • You can also decide to take your online courses from anywhere as long as you have a good internet connection.
  • Since you have been on a career break, it is possible that you would not want to spend a lot of money on courses to upskill yourself. The tuition fee for online courses is considerably lower compared to an on-campus course.
  • These courses are highly flexible in terms of schedule. Candidates can take full-time or part-time jobs to earn money while studying.
  • Some of the biggest companies like Amazon, Meta, Apple, American Express, etc., are now implementing partial or complete remote working models. It enforces online collaboration and coordination in all projects. Students who take online courses develop the skills relevant to such an online working model during their courses. 
  • Online courses encompass a lot of collaboration, but there are many projects that the students need to complete by themselves. It helps them to learn how to work independently. It will also promote critical thinking and individual growth of the student. 
  • Students need to complete various projects and case studies to get their online degrees. These aspects of an online degree help them develop the critical technical and behavioral skills sought in the corporate world.

Read more: How online courses help your career and get you better salary hikes

If you are looking for a career switch, then here are some popular domains you can take up to upskill yourself

Data Science

Data Science is a domain that encompasses statistics, machine learning, and data analysis to analyze data and obtain insightful information from the data. This course is one of the most sought-after courses by students because of its application in various fields like Consultancy, Banking, Healthcare, etc. Some of the common applications where you can implement the knowledge of Data science are:

  • It can be used to predict and forecast weather and climate changes by analyzing past data.
  • It can be used to forecast a company’s potential revenue using past data.
  • It is used to improve the transportation route using predictive analysis for traffic or network congestion.
  • It helps the industrial and manufacturing sites to maintain the overall work procedures using methods such as regression analysis, prediction analysis, budgeting, etc.

Read more: How to transition into a data science career

Some of the important concepts that you will learn in this course are:

  • Machine Learning 
  • Programming languages (such as Python, Matlab, and R)
  • Fundamentals of statistics
  • Database management 
  • Data analysis 
  • Cloud computing concepts and their application in data science
  • Visualization for data mining, etc.

Some of the common career options that can be pursued after completing an online course in data science are as follows:

  • Data Analyst
  • Data Scientist
  • Machine Learning Engineer
  • Business Intelligence (BI) Developer 
  • Statistician
  • Data Engineer
  • Infrastructure Analyst

Read: Career path in data science

You can also pursue a career in data science without having to learn how to code.

Business Administration

The study of Business Management includes a broad range of subjects that can help you pursue various career roles. In simple words, people who work in the business management field are responsible for managing a company’s resources, people, and time. One of the main things you will learn in business administration is how to ensure that a business runs efficiently, effectively, and profitably. 

You can choose to work in the fashion industry, foods and beverages sector, hospitality management, retail management, sports entertainment, music industry, etc. If you are an engineer and want to gain some knowledge in the multiple disciplines of the business world, you should consider opting for a Master’s in Business Administration – as pursuing an MBA after a career break can be rewarding. Some of the specializations available for MBA aspirants are:

  • Finance
  • Accounting
  • Human Resources
  • Data Science
  • Business Analytics
  • Information Technology
  • Supply Chain and Logistics
  • Marketing
  • Healthcare Management

Some of the common career options that can be pursued after completing an online course in business administration are as follows:

  • Marketing Director
  • Business Development Manager
  • Management Consultant
  • Business Analyst
  • Finance Manager
  • Budget Analyst

Check out the guide to choose the right MBA elective

Finance

Finance encompasses the creation, management and study of investments and money. The study of Finance can be categorized into three main subfields: 

  • Public Finance: This involves the study of government expenditures, tax systems, economic stabilization policies, budget procedures, debt, etc
  • Corporate Finance: This involves the study of management of assets, revenues, liabilities and debt for a private organization. 
  • Personal Finance: This involves the study of all the financial activities and decisions of a person or a household. It can comprise the process of budgeting, savings, mortgage, insurance and retirement planning.

You can also specialize in other categories like behavioral finance, which aims to understand the reasons (social, psychological, emotional, etc.) behind financial investments and decisions. Some of the crucial concepts that you will learn in this course are:

  • Stock market
  • Liquidity
  • Asset management
  • Gross Domestic Product (GDP)
  • Risk management 
  • Accounting 
  • Mergers and Acquisitions (M&A)

Some of the standard career options that can be pursued after completing an online course in finance are as follows:

  • Financial Analyst
  • Economic Analyst
  • Actuary
  • Investment Banker
  • Portfolio Manager
  • Cost Accountant
  • Mergers and Acquisitions Analyst

Read: A guide that helps you get a job in finance sector

Marketing

Marketing can be understood as the tasks and activities that a company performs to promote the trade of a service or a product. There are many third-party marketing companies that take care of the marketing requirements of other brands and companies. 

The study of marketing includes the study of the marketing mix, also referred to as the four Ps of the marketing field. They are:

  • Product – This refers to the items that are offered by the company.
  • Price – This refers to the money asked by the company in exchange for the product.
  • Place – This refers to the distribution strategy of the product. For example, online stores, small stores, shopping malls, etc.
  • Promotion – This refers to the campaign communicated by the marketing experts to boost the sale of the product.

Some of the essential concepts that you will learn in this course are:

  • Digital Marketing
  • Email Marketing
  • Brand Creating
  • Financial Performance
  • Key Performance Indicators (KPIs)
  • Social Media Marketing
  • Search Engine Optimisation (SEO)

Some of the standard career options that can be pursued after completing an online course in marketing are as follows:

  • Product Manager
  • Market Research Analyst
  • Search Engine Optimisation (SEO) Analyst
  • Digital Marketing Analyst
  • Content Writer
  • Product Marketing Manager 
  • Brand Manager

Read: A guide on how to get a job in marketing sector

Cybersecurity

Cybersecurity can be defined as the process of protecting the digital systems, programmes and networks connected via the internet from cyber threats. These cyber threats are generally performed to access, modify, or delete sensitive information and data, interrupt business processes, or extort money from the data owners.

Some common types of cyber security threats are: 

  • Phishing – This involves sending fraudulent messages and emails that are similar to the ones sent by reputable sources. The objective behind sending these messages is generally to steal login information and credit card numbers.
  • Ransomware – This is a kind of software that is programmed to extort money. It blocks access to files and systems until the money is paid to the ransomware creator.
  • Malware – This is a kind of malicious software. It is specifically designed to cause damage or obtain access to a computer system or network.
  • Social Engineering – This is a method that cyber attackers use to persuade you to reveal your sensitive information. 

If you have an IT background and want to learn about data protection, you can opt for a course in cybersecurity. Some of the crucial concepts that you will learn in this course are:

  • Managed Security Service Provider (MSSP) 
  • Advanced Persistent Threat (APT) 
  • Distributed Denial of Service (DDoS) 
  • Security Operations Centre (SOC) 
  • Identify Access Management (IAM) 
  • Security Information and Event Management (SIEM) 
  • User and Entity Behaviour Analytics (UEBA)

Some of the common career options that can be pursued after completing an online course in cybersecurity are as follows:

  • Network Security Engineer 
  • Application Security Engineer 
  • Information Security Manager 
  • Cybersecurity Engineer 
  • Security Architect 
  • Ethical Hackers 
  • Cloud Security Engineer 

Machine Learning

Machine Learning is the field of artificial intelligence that enables a computer system to learn and adapt to new data without the intervention of human beings. We are generating and consuming data at an ever-increasing rate in the modern world, and it gives us an opportunity to make use of this data for our benefit. Many companies and organizations hire machine learning experts to make sense of this data and gain actionable insights using machine learning algorithms.

The four categories of machine learning algorithms are as follows:

  • Supervised Learning
  • Semi-supervised Learning
  • Unsupervised Learning
  • Reinforcement Learning

Some of the essential concepts that you will learn in this course are:

  • Random forest algorithm 
  • Logistic regression 
  • Dimensionality reduction algorithms
  • Naive Bayes algorithm
  • Linear regression 
  • K-means method 
  • Support Vector Machine (SVM) algorithm

Some of the common career options that can be pursued after completing an online course in machine learning are as follows:

  • Machine Learning Engineer 
  • Data Scientist
  • Business Intelligence (BI) Developer
  • Software Developer
  • NLP (Natural Language Processing) Engineer
  • Software Engineer
  • Computational Linguist

Blockchain

Blockchain can be defined as a distributed ledger system which can be used by the public for various purposes. The significance of blockchain is that it becomes difficult to alter a piece of information that is once recorded in a block. In simple words, a Blockchain can be understood as a chain of blocks with data. Blockchain technology was designed to timestamp the digital information recorded in the block to improve its security. However, it did not have a proper application until 2009. Satoshi Nakamoto used blockchain technology to create a Cryptocurrency (known as Bitcoin) in 2009. 

Some of the common domains where blockchain can find its application are:

  • Banking and finance
  • Healthcare
  • Real estate records
  • Smart contracts
  • Supply chain
  • Voting mechanisms

Some of the essential concepts that you will learn in this course are:

  • Blockchain platforms
  • Cryptography
  • Digital Ledger Technology
  • Proof of Work System
  • Proof of Stake System
  • Cryptocurrencies
  • Decentralization

Some of the standard career options that can be pursued after completing an online course in blockchain are as follows:

  • Core Blockchain Developer 
  • Blockchain Application Developer
  • Blockchain Quality Manager
  • Blockchain Project Manager
  • Blockchain Solutions Architect
  • Blockchain Legal Consultant
  • Blockchain Consultant

Cloud Computing

Cloud computing is the modern way of using online computer services. It is a great field to pursue for people trying to find a job in the IT domain after taking a career break. Cloud Computing can be defined as the delivery of various computer services via the internet. The components used in a cloud computing mechanism are servers, data storage facilities, databases, networking, and software applications.

Some of the important concepts that you will learn in this course are:

  • Infrastructure as a Service (IaaS): This involves the subscription of digital infrastructure to the users. You can use this service for servers, software, etc., including Microsoft Azure, IBM Cloud, Amazon Web Services (AWS), etc.
  • Platform as a Service (PaaS): This involves the subscription of a platform to the users. For example, you can subscribe to the platforms offered by vendors like Salesforce, SAP, etc.
  • Software as a Service (SaaS): This involves the subscription of a software application to the users. The subscriptions are generally in the on-demand or pay-as-you-go model. For example, you can subscribe to the suite of applications of Microsoft 365.

Some of the common career options that can be pursued after completing an online course in cloud computing are as follows:

  • Cloud Systems Engineer
  • Front End Developer
  • Back End Developer
  • SQL Database Developer
  • Cloud Database Administration
  • Cloud Network Engineer
  • Cloud Security aAnalyst

Read: What is cloud computing? Why should you learn it?

Choose Online Manipal to upskill

Online Manipal gives you access to accredited online degree programs and certifications from premium institutions like Manipal University Jaipur (MUJ), Manipal Academy of Higher Education (MAHE), T.A. Pai Management Institute (TAPMI), and Sikkim Manipal University (SMU). Get access to online programs on business administration, data science, business analytics, finance, marketing, supply chain management, and more with Online Manipal. Our online programs are specially designed to suit the hectic schedules of working professionals through flexible live online classes and convenience class schedules. 

Read more: How to find a job after a career break

MBA in Data Science vs MSc in Data Science

Termed as one of the “sexiest jobs in 2021” by Harvard Business School, data science jobs have surely created a wave in the global workforce. Recruiters today are throwing huge salaries on professionals who possess the skills to take on roles like Data Scientists, Data Engineer, Data Analysts, etc. So if you are looking to get a job in this in-demand field, then you need the right skill set to land a job in big companies. The first question that arises is- Which data science course should I pursue? Well, there are a plethora of online data science courses available to upskill yourself and get a fat salary in India as a Data Scientist.

A masters in data science can help elevate your career as a data scientist. An MBA in Data Science and an MSc in Data Science can be among your top options to excel in your career.

Read more: Rising demand for data science in India

Let’s take a deeper look at how MBA data science vs MSc data science helps in mastering data science and in progressing your career.

What is an MBA in data science? 

MBA in data science is a postgraduate course that deals with interpreting technical infrastructure data, designed to equip the candidates with data science skills including interpreting, research, processing, creating data, and more. In simple words, an MBA in data science integrates business management principles with a strong emphasis on data science and analytics. 

What is an MSc in data science?

MSc in data science is a specialized master’s degree designed to equip students with the skills and knowledge needed to analyze and interpret complex data sets, extract valuable insights, and make informed decisions. It exposes you to various data science tools and skills required to make data-driven decisions for businesses. 

Eligibility criteria: MBA data science vs MSc in data science

Manipal Academy of Higher Education offers an MBA program in Data Science on the Online Manipal platform to equip candidates with the latest and most in-demand skills and tools in the field of data science. 

Here are the eligibility criteria for the MBA in data science –

Educational QualificationIndian Candidates – 10+2+3 year graduate degree in Statistics / Mathematics / Computer Science / Engineering / Technology or any other discipline with a minimum of two years of learning Mathematics or statistics from a recognized university/institution with an equivalent qualification recognized by the Association of Indian Universities (AIU) International Candidates- Candidates must have completed a graduation degree certificate of equivalence from the Association of Indian Universities required from students with a foreign education to apply to any university in India.
Professional ExperienceWork experience is desirable

MAHE also offers an online MSc in data science program, specially designed for individuals looking to develop core data science skills and knowledge in tools.

Here are the eligibility criteria for the MSc in data science-

Educational QualificationGraduates (10+2+3) in any discipline from recognized universities/ institutions, or an equivalent qualification as recognized by the Association of Indian Universities (AIU) with a minimum of 50% of marks or equivalent grade.
Professional ExperienceOne year of work experience in reputed organizations

MBA data science curriculum 

Pursuing an MBA in data science requires a combination of robust technical knowledge and practical experience. It gives them a potential edge over other competitors in the field. The skills required to master data science are acquired from the below syllabus.

  • Database management

Database management offers an experiential learning opportunity to build basic and advanced programing skills. 

The subject covers the languages, applications, and programing used to develop and maintain business databases. In the database system, the emphasis is on developing the candidates’ skill sets in object modeling, relational data models, and the physical characteristics of databases.

  • Machine learning algorithms

Machine learning uses algorithms and mathematical models to develop machines that can solve problems like human minds. The Machine learning method has programing assignments for the candidates to practice and gain hands-on experience. Here, the math needed to better understand each algorithm is comprehensively explained, with calculus explanations and linear algebra.   

  • Probability and probability distribution

A substantial part of data science is learning about the behavior and properties of variables. In short, the probability and probability distribution show the way for the candidates to represent the specific values concerning the variable and the respective variability.

  • Statistical Inference

In data science, descriptive statistical inference explains the data to users without making any inference from the data. Simply put, inferential statistics aid in claiming conclusions from the sample data to analyze the parameters of the population. This subject will help the students understand the target variable’s behavior.

  • Applied data analytics

The section focuses on learning analytics software and techniques that must be implemented directly in the industry. The knowledge of analytic tools, along with the data mining and machine learning approaches, will be analyzed in the subject. This will help students to enhance their capacity to examine real-world challenges and understand the possibilities of applications.

Read more: Top companies that work on data science

MSc data science curriculum

Each module in the course highlights the tasks, including storing, analyzing, and recording data for predicting future insights extracted from structured to unstructured data. Here’s an overview of the M.Sc in data science curriculum-

  • Computational mathematics

The computational mathematics section in data analysis deals with mathematical modeling, numerical analysis, and computational aspects to analyze and solve complex problems. It also helps students gain the knowledge and experience to implement the productive parallel algorithm to enhance performance.

  • Programing in SAS for analytics

SAS, also known as Statistical Analysis System, is the most productive and popular software needed for accurate data analysis. The section enables the candidates to follow a programmatic-based approach to access the analytical abilities of SAS, in every stage of the data life cycle, including discovery and deployment.

  • Applied data analytics

Applied data analytics in the course focuses on data analytics and applied areas to provide comprehensive details in concepts and techniques. It exposes the students to various tasks, including organizing, cleaning, analyzing, representing, and visualizing large amounts of data. Moreover, it also offers the opportunity to gain in-depth knowledge in computation and statistics.

  • Programing with R and Python

In data science, Python is a general programming language used to develop and deploy various projects. On the other hand, R is a statistical language that plays a significant role in analysis and visual data representation. The section expands candidates’ knowledge in data analysis, enabling them to stimulate better performance.

Read more: Why should you opt for MSc in data science?

Careers after MBA in data science 

MBA in Data science graduates offer immense job opportunities in various technology domains, bringing them better growth and a bright future. Some of the sought-after careers options for an MBA in data science are-

Data Analytics Manager

A Data Analytics Manager is a professional who oversees and manages the data analytics function within an organization. This role involves leading a team of data analysts or data scientists and working closely with other departments to derive actionable insights from data that can inform business decisions. The average salary of a Data Analytics Manager in India is INR 26 LPA.

Application Architect 

An application architect or software architect is an individual who operates within the scope of one’s system while understanding all the interactions. They have to work with clients on planning and designing the applications, addressing the coding or programming issues, and even overseeing a team of developers. The average salary of Application Architect is INR 29 LPA.

Data Scientist

The role of a data scientist is to make value of the given data. They must proactively collect information from various sources and examine it for better understanding. It will aid in learning how the business works and building high-quality integration systems to develop effective solutions.The average salary of a data scientist in India is INR 15 LPA, and is said to increase based on your career path and the company you work in. 

Machine Learning Engineer

The responsibilities of Machine learning engineers are to design and develop machine learning systems, run tests and experiments and implement appropriate algorithms. The primary role of the professional is to shape and develop accurate predictions. The average salary of a Machine Learning Engineer in India is INR 12 LPA.

Data Security Analyst

A Data Security Analyst is responsible for safeguarding an organization’s computer systems, networks, and data against security breaches and unauthorized access. The role is crucial in the modern digital landscape, where cyber threats continue to evolve, posing risks to sensitive information and critical infrastructure. The average salary of a Data Security Analyst in India is INR 6.2 LPA.

Read more: Does data science require coding?

Careers after MSc in data science 

The demand for candidates who have completed their master’s in data science is spiking in the current era. Below are some of the most lucrative career opportunities after an M.Sc in data science.

Program Manager 

A program manager’s primary responsibility is to help an organization  achieve its goals. They also play a key role in coordinating the effort between different projects and departments. In short, they oversee the entire program with solid attention to implementation in executing strategy. The average salary of a program manager in India is INR 18 LPA.

Predictive Modeler

A predictive modeler is a professional who specializes in developing predictive models using statistical analysis, machine learning algorithms, and data-driven techniques. The primary goal of a predictive modeler is to create models that can forecast future trends, behaviors, or outcomes based on historical data patterns. The average salary of a Predictive Modeler in India is INR 13 LPA.

Data scientist

A data scientist is a responsible individual who develops an effective and data-driven solution customized to meet an organization’s specific needs. An ideal candidate must run analytical experiments sequentially through appropriate data and project design. The average salary of a data scientist in India is INR 15 LPA.

AI Engineer

An AI (Artificial Intelligence) engineer is a professional who specializes in designing, developing, and implementing artificial intelligence solutions. AI engineers work on creating systems and applications that can perform tasks that typically require human intelligence, such as natural language processing, image recognition, problem-solving, and decision-making. They are at the forefront of advancing technologies that involve machine learning, deep learning, and other AI techniques. The average salary of an AI Engineer in India is INR 11.6 LPA.

Data Engineer

A data engineer’s primary responsibility is gathering, managing, and converting raw data into useful insights. They must analyze various requirements and implement effective database techniques to build a robust database architecture. Their role also extends to support the data scientists by helping them with the mining, modeling, and production of data. The average salary of a Data Engineer in India is INR 9 LPA.

MBA in data science or MSc in data science: What’s best for you?

You can explore different career paths with MBA in data science and MSc in data science. Here’s a short comparison between the two to help you decide what’s best for you.

MBA in data scienceMSC in data science
Along with strong business knowledge and foundations, you will learn how to make data-driven decisions for businessesYou will gain strong technical expertise and can explore technical roles in data-driven organizations
This program gives a broader perspective of how data science is applied to business areas like marketing, finance, etc.This program gives a deeper understanding of data science tools and skills like data mining, visualization, statistics, etc.
You will learn key subjects like business communication, database management, entrepreneurship, machine learning methods, statistical inference, applied data analytics and more.You will learn key subjects like deep learning & text mining, Bayesian statistical modeling, programming with R & Python, and stochastic processes

Final thoughts 

Pursuing a masters in data science from a premium university will greatly contribute to your CV as well as help you establish a successful career in this in-demand domain. If you are looking for the best online data science courses, look no further than Online Manipal and kick-start your career in the flourishing field of data science. Simply put, data science is all about the present and future. Good knowledge and understanding of this specialized field will keep you up with the ever-evolving industry, opening doors for exciting and lucrative job opportunities.

Read more: Data science degree vs data science certification

Interested in our courses? Share your details and we'll get back to you.

    Enter the code sent to your phone number to proceed with the application form

    Edit

    Resend OTP

    Edit

    Bachelor of Business Administration (BBA)
    Manipal University Jaipur


    Enroll Now
    Call
    Enroll Now