Online Manipal Editorial Team | July 21, 2022
The global economy is rapidly evolving, and business approaches must evolve too. To lead their organisations and stay ahead of the competition, business leaders need access to actionable data and insight into data patterns. That’s where business analytics comes in. A degree in business analytics can open up new career opportunities for you and land you a position where you can help change how an organisation operates. An MBA in Business Analytics and Data Science is the study of understanding data by applying analytical methods to answer questions concerning financial information, management performance, or external factors that affect an organisation. An MBA in Business and Data Analytics provides unbiased insights into data that businesses can use to make strategic decisions confidently.
Demand for professionals with an MBA in Analytics & Data Science
As the world becomes increasingly data-driven, businesses must access the latest and greatest analytics tools. To do this, they need to understand how data is collected, processed, and analysed. This understanding is essential to making informed decisions that will help them grow their business.
Business analytics can predict future trends through data analysis. Thus, companies can use data to predict what will happen in the future to make decisions that will help them avoid problems in the future.
In addition, organisations are increasingly looking to hire data scientists with an MBA in Business Analytics to help them tackle complex problems. An MBA in Data Science is a great way to prepare for these roles. With this degree, you can gain the skills and expertise you need to work in this industry.
Thus, the demand for MBA in Data Analytics in India continues to grow. The reasons include:
- The increasing importance of data in business decisions
- The rising importance of big data analytics in the digital age
- The growing number of students who are interested in entering the business world
- The increased demand for data-driven decision making
- The growing number of companies who are looking to hire data scientists and analytics professionals
- The ever-increasing number of students who are interested in entering the business world
An overview of MBA Analytics & Data Science
The term “data science” can be a bit misleading. In reality, data science is a broad set of disciplines that combine data analysis, modelling, and visualisation to solve problems. The context of an MBA in Data Science is to extract insights from large datasets, identify trends, and make predictions.
The critical elements of data science are:
- Data analysis: It involves collecting and analysing large datasets and, in some cases, manually extracting data from various sources such as databases, websites, or social media.
- Modelling: It involves building models to predict future outcomes based on current data. For example, a model could be used to predict the likelihood that a company will go bankrupt in the future.
- Visualisation: It involves creating charts and graphs to help users understand the data better.
MBA in Analytics & Data Science – Highlights
|Programme name||Masters of Business Administration in Analytics & Data Science|
|Eligibility||Bachelor’s degree from a recognised college|
|Course fee||INR 40,000- INR 5,00,000|
|Admission||Merit based or Entrance exam based|
|Recruiting companies||Wipro TechnologiesHCL TechnologiesMahindra SatyamDeloittePayPalDellInfosysCognizant Technology Solutions (CTS)|
|Job roles||Data AnalystData EngineerBusiness AnalystData ScientistData Analytics ConsultantRisk AnalystHealthcare Data Analyst among others. etc.|
|Average salary||INR 5,00,000 – INR 8,00,000|
What is an MBA in Analytics & Data Science?
An MBA in Analytics & Data Science is a specialisation within an MBA Programme that focuses on applying advanced analytics and data science. This field of study aims to provide students with the tools, skills, and experience needed to analyse large datasets, visualise and interpret data, and make decisions based on data-driven insights. It is a four-year programme that prepares students to enter the workforce as data scientists, analysts, and business intelligence professionals.
Who can enrol in MBA Analytics & Data Science?
To enrol for an MBA in Data Analytics, you need to meet certain eligibility criteria. It is intended to ensure that students who want to study data analytics have the necessary skills and knowledge. The educational qualifications and criteria are listed below:
- Candidates must have a bachelor’s degree in Data Analytics-related subjects such as Mathematics, Science, Physics, Engineering, or any other related field.
- Candidates should have 40% to 60% aggregate or equivalent CGPA in their undergraduate degree.
- Candidates from the OBC/SC/ST categories are eligible at a 5% less aggregate.
Admission procedures to enrol in MBA Analytics & Data Science
The admission procedure for MBA in Data Science & Analytics is a rigorous admissions process designed to ensure that applicants are well-prepared for the rigours of the curriculum. The admissions committee reviews the applications and determines if they meet the programme’s admission requirements. The admissions committee uses several metrics to evaluate each applicant’s application.
Candidates for the programme are usually admitted based on their performance at the national or state-level entrance exam. The qualifying candidates must undergo a personal interview (PI) and group discussion (GD) round conducted by the respective colleges or universities. Few colleges offer admission to this programme based on merit.
- Candidates must fill out the application form for the colleges they want to apply to and pay the application fees. The candidate’s undergraduate degree programme’s aggregate is considered for eligibility for merit-based admissions.
- A candidate must obtain at least 40% marks in their undergraduate degree programme to be eligible for admission.
- After assessing all applications, the college admissions authority releases the cut-off lists.
- If the candidate has attained the cut-off rank, they are admitted. The candidates then have to submit all required documents and admission fees to the institution to complete their admission.
Admission based on entrance exam:
The step-by-step entrance exam-based admission process is mentioned below:
- To apply, they must fill out the form carefully and submit all necessary documents.
- They must scan and upload all required documents in a defined format and can pay the application fees online or any other mentioned way.
- The college admissions authority issues admit cards to eligible applicants to sit for the entrance exam, but candidates must pass the entrance exam to secure admission.
- Qualifying students will appear for the group discussion round (GD), followed by a personal interview (PI).
- The final list of outstanding students will be generated based on their performance in the entrance exam and personal interview.
- The candidates finally shortlisted must deposit the course tuition fee and secure their admission.
How can I pursue an MBA in Analytics & Data Science?
Whether you prefer a more personal learning experience or are interested in earning a degree from the comfort of your home, you can make your choice while pursuing an MBA in Data Analytics. You can either go for a regular programme or an online one.
Online mode of education is gaining popularity in today’s world. So, if you are thinking of pursuing an MBA in Analytics and Data Science online, then Online Manipal would be the best choice to go with to take up the course online. The programme allows people to learn without having to leave the comfort of their homes. Thus, providing flexibility and convenience, which can make it an appealing option for busy people with busy lives.
Manipal University is one of the few universities in India that offers a full-time MBA in Analytics & Data Science course online. The courses are specially designed to engage you at a deeper level than classes alone can provide. With their robust social media platforms and webinars, you can participate in dynamic, interactive learning experiences with fellow classmates and industry experts.
Another way candidates can opt for this degree is by taking classes through distance education programmes. This type of learning happens in a classroom setting but without regular classes and provides students with the freedom of practising in their own time. Online programmes are also often offered in distance education modes.
Finally, there are also hybrid learning programmes that combine distance and online learning. Hybrid learning programmes allow students to take courses at their own pace while also gaining access to resources like study groups and homework help when they need it.
Future prospects after an MBA Analytics & Data Science Programme
After an MBA in Analytics & Data Science, many students will be able to pursue a career in data science. The data analysis and visualisation skills acquired during this programme are transferable to a wide variety of fields. These skills can be applied to any business, including consulting, financial services, government, and healthcare.
Many types of data science jobs are available after an MBA in Analytics & Data Science, like data analysts, data scientists, and data architects. Data analysts focus on collecting and analysing large amounts of data. Data scientists use this data to build models that predict future trends, and data architects use these models to plan and design new products and services.
Higher education opportunities after an MBA in Analytics & Data Science
After completing an MBA in Analytics & Data Science, students can pursue a variety of career paths or can even opt for higher education. Some of the most common options include working in academia, consulting, or government. Academia is a great option for students pursuing a research-based career.
The ability to use data effectively can also be valuable for students who want to enter the workforce after finishing their MBA. Many employers are looking for people with analytical skills and the analytical mindset that comes with an MBA.
Career options with salary
An MBA in Data Science and Analytics offers a broad list of Data Analyst jobs. A graduate with this specialisation is in charge of critical business decisions and crunching data and can work in some of the following roles.
- Product Manager
- Data Scientist
- Data Engineering
- Digital Marketing Manager
- Business Analyst
- Information Architect
There are many job opportunities for MBA in Data Science and Analytics graduates in India. An MBA in Data Science individual’s salary can range from INR 4 – 20 Lakhs based on their skills or experience, and the graduate will earn more once they’re more experienced in their careers.
Here are a couple of jobs for MBA in Data Science and Analytics students with the average salaries:
|Designation||Average pay scale|
|Human Resource Manager||INR 7.04 LPA|
|Data Analytics Manager||INR 6.89 LPA|
|Senior Data Scientist||INR 20 LPA|
|Analytics Manager||INR 20 LPA|
|Data Scientist||INR 8.82 LPA|
|Data Analyst||INR 5.06 LPA|
MBA in Analytics & Data Science course details
The course will teach the following subjects over the two years:
|Year 1||Year 2|
|Econometrics||Applied Business Analytics|
|Financial Analysis and Reporting||Foundation Course on Predictive Analysis|
|Macroeconomics in the Global Economy||Foundation Course in Descriptive Analysis|
|Foundation Course in Business Analytics||Stochastic Modelling|
|Spreadsheet Modelling||Ethical and Legal Aspects of Analytics|
|Applied Statistics for Decision Making||SAP FICO|
|Organisational Behaviour||Social and Web Analytics|
|Applied Operations Research||SAP HCM|
|Project Management||R Programming|
|Research Methodology||Project Work|
MBA syllabus semester-wise breakdown
This semester-wise syllabus provides a comprehensive overview of the core concepts and skills required for successful analytics and data science in a business context. The syllabus covers the core concepts and skills required for successful analytics and data science in a business context. This is a course for students looking to enter the field of data analytics and data science.
|Semester 1||Semester 2||Semester 3||Semester 4|
|Applied Statistics for Decision Making||Business Communication||Econometrics||Data Cleaning, Normalisation, and Data Mining|
|Business Skills development||Applied Business Analytics||Spreadsheet Modelling||R Programming|
|Communication Skill Development||Financial Analysis and Reporting||SAP HCM||SAP FICO|
|Organisation Management||Project Management||HR Management||Stochastic Modelling|
|Business Policy and Strategic Management||Macroeconomics in Global Economics||Projects||Projects|
READ MORE: MBA Analytics & Data Science course syllabus
Why should you choose an MBA Analytics & Data Science programme?
If you want to work in a growing field that requires the ability to analyse data, an MBA in Analytics & Data Science Programme could be a good option. You will gain skills in business analysis, statistics, and data science that are highly sought after by employers. Additionally, you will learn how to use various data and tools, which will be useful in other industries. An MBA in Analytics & Data Science programme could lead to sales, marketing, or management opportunities.
More than ever, organisations are looking to hire people with a strong data understanding. Businesses need people who can extract information from large amounts of data and understand it. An MBA in analytics and data science degree can give you the skills employers want.
You will learn how to analyse data and present it clearly so others can understand it, and you will also learn how to communicate effectively with others about your findings. A good data science programme will also enable you to become an analyst or researcher specialising in analysing and interpreting large datasets. You can also opt to become a software developer who develops algorithms that other people or organisations can use. The possibilities are endless with this degree!
Benefits of pursuing MBA Analytics & Data Science degree programme
A degree in analytics & data science prepares you for a wide range of careers. The main benefits of pursuing this programme are:
- There are several exciting career opportunities for people with an analytics & data science degree. It opens up several career paths, including data analyst, data scientist, quantitative researcher, and data visualisation specialist.
- You can work for companies that want to use data to make better decisions.
- You can work in healthcare, government, finance, and technology.
- An analytics & data science degree will help you learn more about the field of analytics and data science.
- You will understand how to collect, analyse, store, and display data.
- The degree will allow you to apply your learnings in the workplace.
- An analytics & data science degree will help you develop your analytical and problem-solving skills.
- You will learn how to solve real-world problems using maths, statistics, and computer programming.
Since it’s so broad-ranging, an Analytics & Data Science degree can be a great way to explore your interests and discover what kind of work you’re most interested in. It’s also an excellent way to learn more about the field and develop skills that will help you throughout your career.
Required skills for Analytics & Data Science job
Anyone who works with large amounts of data can benefit from learning data science and analytics skills. Analytics job requirements are varied but typically include solid quantitative skills and the ability to interpret data and communicate results. Data science is a broad field requiring knowledge of numerous subjects, including statistics, machine learning, programming, and big data analysis. It’s essential to have a good foundation in the basics of these areas to pursue this course.
Some employers may also require experience working with at least one specific kind of data or application before hiring candidates. For example, some employers may prefer candidates with experience using SQL (the Structured Query Language used to manipulate database-based information, including relational databases like MySQL and MongoDB). If you don’t have experience with SQL, there are other ways to learn SQL in your spare time, such as by practising creating SQL queries via code.
Is an online MBA in Analytics & Data Science a good option?
Online MBA programmes in Analytics and Data Science are a great option for students who want to advance their careers in this industry. While a traditional MBA programme might provide more theoretical training, an online MBA in Analytics and Data science will include hands-on learning and practical experience in the field. It could be a great way to step into the field.
Another benefit of an online MBA is that you can complete the course from anywhere in the world, which can help you avoid costs associated with moving to another city or country. It’s also possible to complete your degree faster than a regular programme.
With an online MBA in Analytics & Data Science, you can learn from experts who share your passion for data and analytics. And because you are learning at home, you can connect more to your classmates and professors. It can help promote a collaborative learning environment and make it easier to build relationships with others. If you’re interested in an online MBA, it’s best to start looking as soon as possible. These programmes fill up quickly, so make sure you get your application in early.
Why is an online MBA from Online Manipal the best?
Online MBA from Online Manipal is the best option for those who want to pursue a business-related degree customised to their specific career goals. By learning at your own pace, you can focus on the things most relevant to your future career. You can also take advantage of the flexibility that online learning offers. With online degree programmes, you can study whenever and wherever you have the time and space. It’s also a cost-effective option, as these degrees are much less expensive than traditional on-campus programmes.
One of the most significant benefits of an online MBA is that it allows you to work around other commitments and helps with time management. You can work in the mornings, evenings, or weekends without worrying about getting into trouble with your employers.
An Online MBA programme from Online Manipal can also help you advance your career by giving you more exposure. In addition, they provide a way for you to network with people who can help you find a job upon graduation.
Eligibility requirement to get admission in MBA from Online Manipal
- The Association of Indian Universities recognises any qualification equivalent to 3 years of a Bachelor’s degree from a recognised university or institution to take admission for the online MBA degree.
- A minimum of 50% aggregate (45% for some designated groups) is a must. Candidates must possess a valid score in an aptitude test (CAT / MAT / CMAT / XAT / GMAT).
- Candidates without aptitude test must take and pass an online test provided by the Manipal University Jaipur as per the MBA admission rules.
MBA in Analytics & Data Science course fees structure
Analytics and Data Science are the most in-demand specialisations in today’s digital age. A Master’s in Business Administration with an Analytics & Data Science option will give you the career boost you need – in addition to providing you with the necessary entry into the Analytics & Data Science discipline. The course fee for online MBA with Data Science and Analytics electives at Manipal University Jaipur is as follows:
Total course fee – INR 1,50,000/- Inclusive of all taxes
Fee per semester – INR 37,500/- Inclusive of all taxes
Online MBA scholarship offered by Online Manipal
Online Manipal also offers scholarships for their online MBA programmes. Online Manipal is a globally recognised online learning platform for business education. It offers MBA, BBA, and BCA courses through its online platform. Online Manipal offers various scholarships to eligible candidates across multiple categories, including PSU
Placement assistance at Online Manipal
Online Manipal offers placement assistance for students. Manipal University Jaipur (MUJ) helps students to get placed in reputable companies with good salary packages. To facilitate this, MUJ assists students in building strong CVs, provides useful tips for cracking interviews, and also posts relevant job openings at regular intervals so they can apply for the company that they desire to work at.
Additionally, MUJ sets up a job fair in the final year of undergraduate and postgraduate programmes. Job aspirants can attend this job fair virtually or in-person if there’s a placement drive in their respective city. Many well-established firms from diverse industries participate in this job fair and it’s a great opportunity for students to get placed in any of those top-tier companies.
1. What is the value of an MBA in data analytics?
Data analytics MBA graduates can pursue higher-level business administration positions, as well as jobs such as operations research analysts, computer systems analysts, software developers, mathematicians, or statisticians.
2. What are the minimum requirements for an MBA in Data Analytics?
An MBA in Data Analytics in India programme requires at least a 50% overall grade point average at the graduate level for taking admission.
3. Am I eligible for direct entry into the MBA in Data Analytics programme?
Some colleges and institutions accept applications without entrance exams, provided the student has excelled in their undergraduate programme. Manipal University Jaipur requires a valid score in any of the management aptitude tests, otherwise, the candidate needs to clear the entrance test conducted by MUJ.
4. Is MBA data analytics a difficult course?
Depending on the candidate’s level of interest, data research, analytics and mining are not considered the hardest subjects. If you are enthusiastic about data research and mining, it will be an easy course for you.
5. What are the occupations after MBA in data analytics?
Individuals with an MBA in Data Analytics can function as data scientists and analysts, business analysts, risk analysts, healthcare data analysts, and so on.
6. How long is an MBA in data analytics?
The MBA in Analytics & Data Science is a two-year programme.
Managers need to make sense of the data collected from their operations, customers, and colleagues, to make smart decisions and perform at their best. With a degree in analytics and data science, you’ll learn how to analyse data, make sense of information, and create solutions to real-world problems. MBA in business analytics is an exciting field with tremendous growth potential and can lead to high-paying jobs. As data becomes an ever-more integral part of business operations, you’ll want to explore this field further.
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