Duration
2 Years
Average Fees
INR 4 - 5 LPA
Updated on Jan 30, 2023 by Surobhi Chatterjee
Updated on Jan 30, 2023 by Surobhi Chatterjee
MBA in Data Science is a two-year postgraduate course that deals with interpreting big technical infrastructure data and the course equips the students to interpret the meaning data, research data sources, processing data, and create data models. MBA in Data Science graduates has immense job opportunities in different technology domains to business sectors, bringing students high growth, better growth, better opportunities, and bright futures.
Degree | Masters |
Full Form | Master of Business Administration in Data Science |
Duration | 2 Years |
Age | No age limit |
Minimum Percentage | 50% in an Undergraduate Degree from a recognised university in India |
Average Fees | INR 4 - 5 LPA |
Average Salary | INR 4.5 LPA (Source: Payscale) |
Employment Roles | Data Analyst, Risk Analyst, Business Analyst, Data Trainer, Data Scientist |
MBA in Data Science Latest Updates:
Data science provides meaningful information based on large amounts of complex data or big data while combining different fields of work in statistics and computation to interpret data for decision-making purposes. MBA Data Science duration is generally of two years and falls under the umbrella of the MBA Course.
MBA in Data Science subjects includes business economics, financial accounting, individual and group behaviour, quantitative analysis, marketing management, and analysis, and much more. Data science graduates have high job scope as data is becoming an important resource for almost every industry and business.
Table of Contents
MBA in Data Science eligibility requires a bachelor's degree or relevant discipline with a minimum aggregate of 50% from any recognized university. There is a special 5% relaxation for students coming under the SC, ST, and OBC categories.
For admission into MBA in Data Science, aspirants with a bachelor's degree in any stream like arts, science, and commerce with an equivalent 50% aggregate marks can apply for the course. One can avail MBA in Data Science admission either through merit or through the cut of scores. Listed below is step by step admission process:
Students need to apply for the course either online or offline. And can submit all relevant documents for further admission process.
Once the student gets selected based on the entrance exam score or merit basis, they have to appear for a personal interview and group discussion. And the selected students can avail of their admit cards.
Read More on MBA Admission
All over the country, entrance exams are conducted by different colleges and institutes. Some of the entrance exams are also driven by the state government and state government.
The standard entrance exams in India include:
The eligibility criteria of the entrance exams of MBA Data Science are entirely dependent on the conduction body. But here are a few similarities picked up from the popular entrance exams:
Here are the topmost MBAs in Data Science colleges, according to the NIRF rankings:
Ranking | College | Average Fee (INR) |
1 | IIM Bangalore | 20 Lakhs |
3 | IIM Calcutta | 20 Lakhs |
11 | MDI Gurgaon | 15 Lakhs |
24 | LBSIM New Delhi | 15 Lakhs |
46 | IMED Pune | 10 Lakhs |
Given below are the top colleges for MBA in Data Science in Bangalore:
SI.No | Name of College |
1 | Alliance University |
2 | Jain University |
3 | REVA University |
4 | Christ University |
5 | Bangalore University |
Given below are the top colleges for MBA in Data Science in Delhi:
SI.No | Name of College |
1 | Christ University |
2 | Amity University |
3 | IMI |
4 | IMT |
5 | Galgotias University |
Given below are the top colleges for MBA in Data Science in Kolkata:
SI.No | Name of College |
1 | IISWBM |
2 | IMI |
3 | IIM Calcutta |
4 | University of Calcutta |
5 | NSHM |
Given below are the top colleges for MBA in Data Science in Chennai:
SI.No | Name of College |
1 | Anna University |
2 | University of Madras |
3 | Great Lakes |
4 | LIBA |
5 | VELS University |
Given below are the top colleges for MBA in Data Science in Hyderabad:
SI.No | Name of College |
1 | Osmania University |
2 | ISB |
3 | IFHE |
4 | University of Hyderabad |
5 | Woxsen School of Business |
Given below are the top colleges for MBA in Data Science in Mumbai:
SI.No | Name of College |
1 | University Of Mumbai |
2 | NMIMS University |
3 | SPJIMR |
4 | JBIMS |
5 | SIES Graduate School of Technology |
The best colleges for MBA in Data Science are not only available in India but also abroad. The course is diverse and flexible, making it possible for the students to gain opportunities to study abroad. Given below are the best colleges abroad for MBA data science course:
Given below are the top colleges for MBA in Data Science USA:
SI.No | Name of College |
1 | New York University |
2 | University of California, Los Angeles |
3 | Boston University |
4 | University of California, Berkeley |
5 | Harvard University |
Given below are the top colleges for MBA in Data Science in Canada:
SI.No | Name of College |
1 | Trent University |
2 | York University |
3 | University of British Columbia |
4 | Simon Fraser University |
5 | University of Victoria |
Given below are the top colleges for MBA in Data Science in Germany:
SI.No | Name of College |
1 | WHU - Otto Beisheim School of Management |
2 | Frankfurt School of Finance & Management |
3 | GISMA Business School |
4 | Berlin School of Economics and Law |
5 | EU Business School |
Given below are the top colleges for MBA in Data Science in UK:
SI.No | Name of College |
1 | Sussex University |
2 | Leeds University |
3 | King's College London |
4 | Oxford University |
5 | Brighton University |
The MBA in Data Science fee structure is approximately INR 4 to 5 Lakhs for two years of study. Data Science course fees for distance learning is relatively lower than the full-time course. Some of the top colleges of MBA Data Science course fees are given below:
College | Fees Structure (INR) |
IIM, Banglore | 21.15 Lakhs |
IIM, Calcutta | 24 Lakhs |
LBSIM, New Delhi | 11.67 Lakhs |
IMED, Pune | 4.50 Lakhs |
MBA Data Science course has a duration of two years. The aspirants must have to be familiar with mathematics and computer programming. Some of the subjects which are required in MBA Data Science:
Read More: MBA in Data Science Syllabus and Subjects
MBA in Data Science in India focuses on mathematics, computer science engineering technicals. It may include more about the technicalities of big data. It consists of data tools that allow a business to reach a specific result by processing the data. Let's get to know more about "why choose MBA Data Science?" with a few simple questions.
MBA in Data Science deals with gaining knowledge in big data analysis, decision-making analysis, and problem-solving in various sectors like E-Commerce, telecom, retail, etc. An MBA in Data Science program will concentrate on and transform students' capacity for better business decisions. This specialization helps prepare physically and mentally for risk management, public finance, management consulting, and strategic planning.
Listed below are various roles performed by an MBA Data Science graduate:
Data Analytics: Data scientists create a solid foundation on data to perform analytics in the future. The data scientists use many experiments among different methods and to achieve sustainable growth for an individual.
Machine Learning: Data scientists may build machine learning personalized data systems to understand the customer and business. On the other hand, data science is all about maintaining decisions and solving customers' queries.
Collect and Interpret Data: Data scientists analyze data for actionable insights. This may help in collecting large sets of structured and unstructured data from disparate or different sources. It may also help in data accuracy, validating the data information, and uniformity in the completeness of work effectively.
Wide Range: There are different roles data scientists can take up and will also be paid well owing to their experience and expertise in the field.
Career growth: Offers excellent job opportunities available to be grabbed in the field of data science. Data science has multiple disciplines to work in,
Decision-Making: MBA Data Science jobs comprise the core decision-making individuals, and each of their roles has high weightage and credibility that can never go unnoticed
Read More: MBA in Data Science Jobs and Scope
Given below is the course comparison of MBA in Data Science with other courses:
Given below is the course comparison of MBA in Data Science with Master in Data Science:
Parameter | MBA | Master |
Full Form | Master of Business Administration | Master in Data Science |
Discipline | Management | Master |
Duration | 2 years | 2 years |
Eligibility | Minimum of 50% of total marks in UG | Minimum of 50% of total marks in UG |
Average Fees | INR 3 - 10 LPA | INR 3 - 12 LPA |
Top Institutes | IIMs, XMRI, FMS | IIMs, IMI, SP Jain |
Listed below are the preparation tips for MBA Data Science course suggested by our experts:
Get Hold of the Examination Syllabus: Make a list of topics-wise strengths and weaknesses, and work on them rigorously. Understand the exam pattern and test structure of the examination you are preparing to make a time-bound exam preparation strategy.
Make a Month-Wise Preparation Plan: The aspirants can go through the syllabus for the examination they are preparing for and make a timetable or routine after going through the syllabus.
Be Creative: The aspirant also needs to polish his critical thinking and creative skills to develop innovative ideas.
MBA in Data Science is an excellent choice for students who want to make their big data careers. Students competing can get job opportunities as data analysts, data scientists in insurance companies, and e-commerce companies. MBA in Data Science consists of technically tools to process data and interpret the data thereof. Aspirants can continue their education by opening a fellowship program by pursuing the following courses:
On average, graduates of an MBA in Data Science salary may earn approximately INR 7 - 8 LPA. Data Science candidates have a starting package of INR 4.5 LPA. With the increase in knowledge and experience, the pay scale may increase.
Read More: MBA in Data Science Salary
MBA Data Science course is an important course that makes you digitally strong, and updating and processing data is a highly sought-after skill. Completion of MBA in Data Science allows students to get opportunities in job roles like,
Data Analyst: A data analyst collects, processes, and performs statistical analyses on a large dataset.
Risk Analyst: Risk analysts examine a firm's investment portfolios, including overseas investments, and analyze the risk involved in associated decisions. They use their analytical skills to project potential losses and make recommendations to limit risk through diversification, currency exchanges, and other investment strategies.
Business Analyst: Business analysts have the job role in analyzing the business and possessing the domain and processing business models' smooth running with integration and business model.
Data Trainer: The training data is an initial set of data used to help a program understand how to apply technologies like neural networks to learn and produce sophisticated results. Training data is also known as a training set, training dataset, or learning set.
Graduates can also work in different industries:
Top Recruiting Companies:
The top companies that hire candidates for MBA Data Sciences according to their requirements are:
Strong analytical and numerical skills are required for a good MBA Data Science professional. Besides that, candidates must be very good at understanding computer software like Python, SQL, Hive, Pig, SAS, SPSS, and Excel.
The MBA in Data Science professional must have to possess and be very good at problem-solving, finding a better source for its outcome and being very interpretive to complete work with a good result. List of software skills to equip:
Python: Python is an interpreted, high-level and general-purpose programming language. Python's design philosophy emphasizes code readability with its notable use of significant whitespace.
Excel: With Excel, you can inspect aggregated data before feeding it into any other processes or visualizing. It's a must-have tool. From my experience, data scientists use whatever tools they need to get the job done. Excel, SAS, Python, and more are all tools in a toolbox for good data scientists.
SAS: The leader in business analytics software and services announced for Business Administration (MBA) in Analytics.
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