MBA in Data Analytics is a two-year post-graduation course based on the fundamental knowledge of big data, data mining, database management, data science, and data warehousing. The MBA Data Analytics course curriculum introduces students to data handling, data warehousing & visualization along with the latest analytical software in business process management.
MBA in Data Analytics eligibility requires student to have a minimum of 45-50% marks in undergraduate degree along with qualifying entrance exams such as CAT, MAT, XAT, CMAT, etc. The MBA Data Analytics course fee ranges between INR 60,000-7 LPA.
Table of Contents
Degree | Masters |
Full Form | Master of Business Administration in Data Analytics |
Duration | 2 Years |
Age | No age specification |
Minimum Percentage | 45-50% % academic aggregate in Bachelor’s degree for General Candidates, Reserved Candidates can get 5% relaxation. |
Average Fees | ₹3 - 27 LPA |
Average Salary | INR 5 LPA - INR 25 LPA [Source: PayScale] |
Employment Roles | Data Analyst, Business Analyst, Data Architect, Data Developer, Data Scientist, Data Deployment Strategist. |
Top Recruiters | Fractal Analytics, Mu Sigma, Accenture, Convergytics, Capgemini, Genpact |
MBA in Data Analytics is a two-year postgraduate program that focuses on the areas of data science and includes the study of collecting information, identifying the data from the information, organizing the data, and determining the data pattern. This course is under the umbrella of the MBA courses and aims to deliver knowledge based on various applications of data analytics in the business process.
MBA in Data Analytics course comprises data statistics, data patterns, quantitative analysis, client relationships management, and database management along with preparing graduates as per best industry standards. Hence, the scope of MBA in Data Analytics is vast in various sectors such as finance, education, airports, transport, hospitality, government, healthcare, etc., with an average salary between INR 5-25 LPA, as per the experience level.
Also, Check: How to Become a Data Scientist
The MBA in Data Analytics eligibility criteria is subject to change depending on college rules. However, most colleges have particular requirements that all applicants must meet. The following criteria must be met to qualify for the MBA in Data Analytics:
MBA in Data Analytics is a specialization course focusing on data analysis, data handling, data cleaning, finding patterns from data, etc. The following are some of the benefits of undertaking this course.
Also, Read: Why MBA? Top Reasons to Pursue an MBA
Admission to colleges providing MBA in Data Analytics is based on merit and entrance exam score. Some private colleges like Chandigarh University perform their selection process by conducting university-level entrance exams such as CUCET. Following is the step-by-step procedure for MBA in Data Analytics admission.
Also, Check: MBA Admission Process
MBA Data Analytics eligibility for top colleges depends on passing with required cut-off marks in the MBA entrance exams such as CAT, SNAP, XAT, etc. These entrance exams are monitored by national or state authorities. A detailed view of the different entrance exams for MBA in Data Analytics is provided below:
MBA Data Analytics Entrance Exams |
Examination Date |
Accepting Colleges |
Nov 26, 2023 |
Pondicherry University, Amity University, IILM |
|
Feb 25- Dec 17, 2023 |
CU, Amity University, IILM, LNCT |
|
Jan 7, 2024 |
Amity University, IILM |
|
Dec 10, 17, 22, 2023 |
SCIT |
|
Oct 10- Dec 19, 2023 |
Amity University, IILM |
|
February 2024 (Tentative) |
IILM |
|
Mar 11 - Mar 28, 2024 |
Pondicherry University |
The top colleges in India offer an MBA in Data Analytics in combination with Business Intelligence and Data Science. The top private colleges inlcude Amity University, SCIT Pune, etc., as well as a few government colleges like Pondicherry University. The average MBA in Data Analytics fees range between INR 60,000-7 LPA. MBA course fees are determined by factors such as academic structure, college amenities, location, and so on.
The following table represents the best colleges for an MBA in Data Analytics in India along with their average course fees:
Name of the College |
Average Tuition Fees |
Admission Fees |
Miscellaneous Fees |
INR 60,000 PA |
- |
INR 8,000 PA |
|
INR 6.9 LPA |
INR 35,000 |
INR 1.70 LPA |
|
INR 2.08 LPA |
INR 15,000 |
- |
|
INR 3.04 LPA |
INR 90,000 |
- |
|
INR 85,000 PA |
- |
INR 52,000 PA |
|
INR 2.25 LPA |
- |
INR 1 LPA |
Below listed are location-wise MBA Data Analytics colleges in India with the average annual fees:
Location | Average Fees |
MBA Data Analytics Colleges in Maharashtra | INR 1.50-5.50 LPA |
MBA Data Analytics Colleges in Puducherry | INR 60,000-4 LPA |
MBA Data Analytics Colleges in Uttar Pradesh | INR 75,000-6 LPA |
Admission to top MBA Data Analytics courses is based on qualifying MBA entrance exams with required cut-off marks. These cut-off marks fluctuate due to changing regulations by college administrators. The following are some of the most well-known college entrance exams and their cutoffs:
The Common Admission Test is one of the most essential entrance exams for admission to top MBA colleges. The CAT entrance exam 2023 will be conducted in the month of November. The following cut-off marks are based on previous predictions according to the previous years’ cut-off marks as the CAT cut-off 2023 is yet to be released.
Name of the College |
Expected CAT Cutoff 2023 (Percentile) |
Chandigarh University |
88+ |
SCIT Pune |
70+ |
Prestige University |
65+ |
Amity University |
80+ |
Pondicherry University |
85+ |
Read More on CAT Cutoff 2023
Management admission test is another important entrance exam for admission to good MBA colleges. The MAT entrance exam is conducted around September. The difficulty level is moderate compared to the CAT. The following is the representation of the expected MAT cutoff 2023 along with an MBA in Data Analytics colleges.
Name of the College |
Expected MAT Cutoff 2023 (Percentile) |
Amity University |
90+ |
Chandigarh University |
80+ |
IILM University |
60+ |
LNCT University |
80+ |
Read More on MAT Cutoff 2023
MBA Data Analytics courses are available in a variety of modules of study, which include online and distance learning formats along with a full-time program. These alternatives are available to both regular candidates and experienced candidates. The types of courses for an MBA in Data Analytics are as follows:
Type of MBA in Data Analytics |
MBA Data Analytics Eligibility |
Duration |
Full-Time MBA in Data Analytics |
Bachelor's degree with 50% aggregate and 45% for reserved category + Qualifying entrance exam+ Performance in GD and PI |
2 Years |
Online MBA in Data Analytics |
Postgraduate Diploma / Bachelor's degree with 50% aggregate marks. |
1-2 Years |
Distance MBA in Data Analytics |
Postgraduate Diploma / Bachelor's degree with 50% aggregate marks. |
2-4 Years |
Students who can not pursue the full-time program should consider the online MBA in Data Analytics program. However, some classroom training may not be included in the curriculum, but the program ensures that students get the fundamental knowledge of business analytics. Some key information for a part-time MBA in data analytics is provided below:
Students who want to pursue an MBA in Data Analytics remotely can apply to the distance program. This course is intended for students who are already working professionals. Some of the important points of a Distance MBA in Data Analytics are as follows.
The data analytics MBA syllabus provides a comprehensive understanding of machine learning algorithms, statistical modeling, data visualization, and data analysis methods. Along with the necessary knowledge to manage data through seminars and projects during four semesters.
A detailed view of data analytics subjects in MBA is given below:
MBA in Data Analytics Subjects | Topics Covered |
Data Mining and Machine Learning | Classification, Regression, Clustering, Association Rules, Decision Trees, Random Forests, etc. |
Strategic Management | Strategic Planning, SWOT Analysis, Competitive Intelligence, Corporate Governance, Business Models, Value Chain Analysis, etc. |
Data Visualization | Dashboards, Infographics, Visualization Tools (Tableau, Power BI), Storytelling with Data, Color Theory, etc. |
Predictive Analytics | Model Stacking, Anomaly Detection, Feature Engineering, Predictive Modeling in Marketing and Finance, etc. |
Read More: MBA Data Analytics Syllabus and Subjects
MBA in Business Analytics graduates analyze the data and apply the result in business decision-making, whereas the MBA in Data Analytics course emphasizes conducting in-depth data research and studying technical aspects of data such as descriptive modeling, predictive modeling, etc.
Given below is the course comparison of the MBA in Data Analytics and MBA in Business Analytics course:
Course |
Masters |
Masters |
Full Form |
Master of Business Administration in Data Analytics |
Master of Business Administration in Business Analytics |
Overview |
It covers subjects like advanced statistical analysis, data mining, machine learning, and extracting insights from complex large sets of data. | It covers subjects like data visualization, data management, business intelligence, and strategies to integrate data into business processes. |
Duration |
2 Years |
2 Years |
Eligibility |
Any course with a minimum of 45-50% marks |
Any course with a minimum of 45-50% marks |
Entrance Exams |
CAT, GMAT, XAT |
CAT, XAT, MAT, CMAT |
Fees |
INR 60,000-7 LPA |
INR 5 - 15 LPA |
Average Salary |
INR 5 LPA - INR 25 LPA [Source: PayScale] |
INR 4-12 LPA [Source: Payscale] |
Job Roles |
Data Analyst, Data Architect, Data Developer, etc. |
Market Research Analyst, Business Analyst, Supply Chain Analyst, etc. |
Read More: MBA in Business Analytics
MBA Data Analytics average salary is INR 5 to 25 LPA and it changes according to one's skills and experience. The standard salary range for government-based jobs after MBA in Data Analytics is INR 5 - 14 LPA whereas the salary in the private sector ranges between INR 5.50 to 25 LPA, depending on the year of experience. The table below shows several jobs available after graduation along with the average compensation package.
Designation |
Average Entry Level Salary |
Salary After 5 Years of Experience |
Risk Analyst |
INR 5.60 LPA |
INR 8-12 LPA |
System Analyst |
INR 5-7 LPA |
INR 9-15 LPA |
Market Research Analyst |
INR 5.02 LPA |
INR 7-10 LPA |
Business Intelligence Analyst |
INR 6 LPA |
INR 8-14 LPA |
Data Product Manager |
INR 7-8 LPA |
INR 14-23 LPA |
[Source: Glassdoor & AmbitionBox]
Read More: MBA in Data Analytics Salary
MBA in Data Analytics provides essential knowledge to appear for higher study options and plenty of certification courses. Many organizations have their own Research and Development (RnD) team where professionals can work and pursue their higher studies by researching Data Analytics. List of courses, aspirants can do after an MBA in Data Analytics:
Graduates with an MBA in Data Analytics have many opportunities in the job market which include rewarding compensations with leading positions in top companies. Graduates get employed in sectors such as finance, education, banking, healthcare, and much more. Some of the job roles after the MBA in Data Analytics in India are given below:
Job Designation |
Hiring Companies |
Average Entry Level Salary |
Data Analytics Manager |
PWC, E&Y, Optum, KPMG, etc. |
INR 7-8 LPA |
Research Analyst |
Crisil, ArcGate, S&P Global, etc. |
INR 5-6 LPA |
Data Scientist |
TCS, Accenture, IBM, etc. |
INR 7.90 LPA |
Data Engineer |
L&T Infotech, TCS, Wipro, etc. |
INR 5.90-7 LPA |
Data Architect |
Cognizant, IBM, Accenture, PepsiCo, etc. |
INR 7-10 LPA |
The demand for data analysts is on the rise as business processes are getting more inclined toward data-driven culture. Given below are the top companies that hire graduates with an MBA in Data Analytics.
Top Recruiters |
Average Entry Level Salary |
TCS |
INR 5.60 LPA |
Accenture |
INR 6.80 LPA |
Wipro |
INR 5.40 LPA |
Tech Mahindra |
INR 5.60 LPA |
Infosys |
INR 5.10 LPA |
[Source: Glassdoor & AmbitionBox]
Certain skill sets are additional help for obtaining adequate career excellence in data analytics. Learning new technologies such as big data, Hadoop, and cloud courses, is very important. Here listed are the skill sets one needs to work on to start their career as a data analyst:
Q: Is MBA Data Analytics worth it?
A: Yes, those who pursue an MBA in Data Analytics degree can potentially secure leadership positions in this vital and evolving field.
Q: Who is eligible for an MBA in Data Analytics?
A: Candidates who have completed the required entrance tests and have a bachelor's degree with a minimum score of 40-50% are eligible for the course.
Q: Does data analytics require coding?
A: Yes, coding is essential when pursuing a Data Analytics Degree. However, it does not call for highly complex programming skills.
Q: Which language is used for data analytics?
A: SQL and Python are the most used programming languages for data analysis.
Q: What is the scope of MBA Data Analytics?
A: Following an MBA in Data Analytics, the opportunity for career growth and promotion is strong, with the potential to lead teams and take on managerial roles.
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