MBA in Data Analytics is a specialized postgraduate course which equips the students with the analytical and managerial skills needed to interpret complex data and drive business success. In today’s data-driven world, organizations across industries rely heavily on data to make strategic decisions. As the demand for data-savvy professionals continues to surge, this course has emerged as one of the most sought-after MBA specializations in 2026. This course combines core business administration with advanced analytical skills, which prepares the graduates for roles such as data science, business intelligence and strategic planning.
In this blog, we will discuss about the MBA eligibility criteria and admission process for 2026, syllabus, top entrance exams and exciting career opportunities in this field.
Table of Content
• MBA in Data Analytics Course: MBA Eligibility Criteria
• MBA Admission Process 2026
• MBA in Data Analytics Entrance Exam
• MBA in Data Analytics: Entrance Exam Syllabus
• MBA in Data Analytics: Syllabus
• Career Scope and Job Profiles
• Conclusion
MBA in Data Analytics: MBA Course Details
| Particulars | Details |
|---|---|
| MBA in Data Analytics Full Form | Master of Business Administration in Data Analytics |
| MBA in Data Analytics Course Duration | 2 years |
| MBA in Data Analytics Course Level | Postgraduate |
| MBA in Data Analytics Eligibility Criteria | Completed a bachelor’s degree in a relevant field from a recognized university with minimum 55% aggregate score |
| MBA in Data Analytics Admission Process | Entrance examination based |
| MBA in Data Analytics Entrance Exam | CAT, MAT, XAT, SNAP, NMAT |
| MBA in Data Analytics Course Focus | Business strategy, data interpretation, analytics tools, and decision making |
| MBA in Data Analytics Salary | — |
| MBA in Data Analytics Skills | Data Mining, Predictive Analysis, Business Intelligence, Statistical Modelling |
| MBA in Data Analytics Top Recruiters | McKinsey & Company, Deloitte, KPMG, Alibaba, and more |
MBA in Data Analytics Course: MBA Eligibility Criteria
The eligibility criteria for pursuing MBA in Data Analytics course is structured to assess whether the candidates possess the necessary academic background, relevant skills and the potential to thrive in the program.
Here is the overall overview of MBA eligibility criteria:
Candidates must have completed a bachelors degree in a relevant field from a recognized university.
Further, a candidate must have mandatory subjects such as Physics, Chemistry, Maths, Economics, Statistics. There are many colleges accept candidates from diverse academics disciplines
Candidates must have secured a minimum of 50% as an aggregate score in the bachelors degree.
Furthermore, candidates must qualify for the entrance exam, i.e., CAT, XAT, MAT, CMAT, SNAP, or NMAT.
MBA in Data Analytics Course: MBA Admission Process 2026
1. Firstly, an individual must check the eligibility criteria on the official website.
2. The basic eligibility criteria include a completed and qualified bachelor’s degree in a relevant field from a recognized university and a qualified entrance exam and interview process.
3. If the individual fulfills the eligibility criteria, then fill out the application form, which is available on the official website.
4. The application form contains the following information: Basic personal details, educational qualifications, academic certificates, caste category (if applicable), and work experience (if applicable).
5. Now, start preparing for the entrance exam and appear for the entrance exam on the scheduled date.
6. If the individual qualifies for the entrance exam, then the university will call the shortlisted candidates for the interview or group discussion round.
7. If the individual qualifies for the interview round and gets shortlisted in the merit list, then secure the spot by paying the admission fees.
MBA in Data Analytics Entrance Exam
| Entrance Exam | Dates (2026 – Expected) |
|---|---|
| CAT | November 2026 |
| XAT | January 2026 |
| MAT | March 2026 |
| CMAT | January 2026 |
| NMAT | November 2026 |
| SNAP | December 2026 |
| CUET-PG | March 2026 |
| MAH-CET | March – April 2026 |
MBA in Data Analytics: Entrance Exam Syllabus
MBA Entrance Exam syllabus covers four major sections: Quantitative Aptitude, Logical reasoning, Verbal Ability, General Awareness. To qualify for the MBA entrance exam, an individual must have a clear understanding about the syllabus, which will help in creating a focused preparation strategy. Here is the overall overview of the MBA Entrance Exam Syllabus:
| MBA Entrance Exam | Syllabus |
|---|---|
| CAT | Quantitative Aptitude, Logical Reasoning, English Reasoning and Comprehension, Data Interpretation |
| XAT | Verbal Ability and Logical Reasoning, Quantitative Aptitude, Decision Making, General Knowledge |
| MAT | Mathematical Skills, Data Analysis and Sufficiency, Economics and Business Environment, Intelligence and Critical Reasoning |
| NMAT | Quantitative Aptitude, Logical Reasoning, Data Interpretation, General Awareness, Innovation and Entrepreneurship |
| MAH-CET | Quantitative Aptitude, Logical Reasoning, English Reasoning and Comprehension, Data Interpretation |
| CUET-PG | Quantitative Aptitude, Logical Reasoning, Data Interpretation, General Awareness, Innovation and Entrepreneurship |
MBA in Data Analytics: Syllabus
The Data Analyst MBA blends core business fundamentals with advanced analytical techniques to prepare the students for data-driven decision-making roles. This course puts more emphasis on practical learning with real-world case studies, industry projects and tools such as Python, SQL, Excel and Tableau. Here is the overall overview of the MBA in Data Analytics Syllabus: –
| Semesters | Subjects |
|---|---|
| Semester 1 | Fundamentals of Business Statistics Understanding Data Management and Preparation Financial Management |
| Semester 2 | Operations Management Strategic Management Business Legal Aspects |
| Semester 3 | Machine Learning Business Intelligence Design and Analysis of Algorithms |
| Semester 4 | Big Data Analytics SAS and Hadoop Programming Dissertation or Project |
MBA in Data Analytics: Career Scope and Job Profiles
The career scope in MBA in Data Analytics is very wide and expanding with high demands across industries such as finance, healthcare, e-commerce, and consulting. Graduates can take up roles such as Data Analyst, Business Analyst, Analytics Manager, Marketing Analyst, Risk Analyst. As the data becomes central to business decisions, this specialization offers excellent growth potential, competitive salaries and opportunities in both domestic and international markets.
| Semesters | Subjects |
|---|---|
| Semester 1 | Fundamentals of Business Statistics Understanding Data Management and Preparation Financial Management |
| Semester 2 | Operations Management Strategic Management Business Legal Aspects |
| Semester 3 | Machine Learning Business Intelligence Design and Analysis of Algorithms |
| Semester 4 | Big Data Analytics SAS and Hadoop Programming Dissertation or Project |
Conclusion
MBA in Data Analytics in 2026 is a career-defining course for working professionals and experts who want to lead in the digital and data-driven business schools. This degree combines business acumen within demand analytical skills, making graduates valuable assets across industries like finance, healthcare, IT, and consulting. With the strong focus on practical learning and good job opportunities, this specialization opens doors to various high-paying roles such as data scientist, business analyst and chief data officer. Data continues to grow and shape the business strategies. An MBA in data Analytics offers long-term growth and global career prospects.
