All About MBA in Data Analytics | Syllabus, Top Colleges, Entrance Exams

Vaishali Pandey
July 17, 2024

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MBA Data Analytics: Course Details, Admission, and Jobs

Are you looking to advance your career? If you're thinking about getting an MBA, consider an MBA in Data Analytics. MBA in Data Analytics seamlessly blends business acumen with advanced data science techniques, making it one of the most sought-after programs.

Whether you're aiming to become a Data Analyst or Data Scientist or holding an executive position in a top firm, this program equips you with the necessary skills and knowledge. So, let's dive in and explore why an MBA in Data Analytics might just be the perfect fit for you!

MBA in Data Analytics Course Highlights

Here’s a snapshot of what you can expect if choosing to pursue an MBA in Data Analytics.

Feature Details
Degree Name MBA in Data Analytics
Degree Type Postgraduate
Degree Duration 2 years
Education Modes Full-time, part-time, online, and distance learning
Eligibility Criteria Bachelor’s degree in any discipline
Admission Process Entrance exam + GD/PI
Fees INR 1 lakh to INR 15 lakh and above
Average Salary INR 8 Lakh Per Annum (LPA)
Job Profiles Data Analyst, Data Scientist, Statistician, Business Analyst, Risk Analyst, Stock Analyst, Project Manager
Top Recruiters Mu Sigma, Accenture, Latent View, Oracle, Tableau, Manthan Systems

What is an MBA in Data Analytics?

An MBA in Data Analytics is a specialised program designed to equip professionals with the skills and knowledge needed to analyse and interpret complex data within a business context. 

The curriculum typically covers core business subjects such as Finance, Marketing, and Management alongside specialised courses in Data Analysis, Statistical Methods, Predictive Modelling, and Data Visualisation. An MBA in Data Analytics not only enhances analytical capabilities but also strengthens leadership and management skills.

MBA in Data Analytics: Eligibility

Before applying for an MBA in Data Analytics, it's important to understand the eligibility criteria. Here’s what you need.

Eligibility Criteria Description
Bachelor’s Degree Must have a bachelor’s degree in any discipline from a recognised university, providing a solid academic foundation.
Entrance Examinations CAT, MAT, GMAT, CMAT, XAT, and NMAT
Work Experience While not always mandatory, work experience is beneficial. Some institutions prefer candidates with professional experience.
Specific Requirements by Institute It may include minimum marks in your bachelor’s degree, letters of recommendation, or a statement of purpose.

MBA in Data Analytics Admission Process

The admission process for an MBA in Data Analytics varies by institution but generally follows these steps.

1. Application Form

Fill out the application form for the institutions you are interested in. This usually includes personal details, academic history, and professional experience.

2. Entrance Exams

As mentioned, entrance exams like CAT, MAT, GMAT, CMAT, XAT, and NMAT are a crucial part of the admission process. Ensure you prepare well and score above the required cut-offs for your chosen institutions.

3. Group Discussion (GD)

After clearing the entrance exams, you may be invited for a group discussion. This assesses your communication skills, teamwork, and ability to think critically under pressure.

4. Personal Interview (PI)

If you are shortlisted in GD, you will be typically called for a personal interview. This interview helps the admissions committee understand your motivations, goals, and suitability for the program.

5. Document Verification

Once you clear the GD and PI rounds, you will need to submit various documents for verification. This includes academic transcripts, entrance exam scores, work experience certificates (if applicable), and other relevant documents.

6. Final Selection

After all the rounds, the final selection is made based on your overall performance in entrance exams, GD, PI, and academic record. Selected candidates will receive an offer letter from the institution.

Also Read: How to Finance your MBA in India

Top Entrance Examinations for MBA in Data Analytics

Entrance exams required to get admission to the MBA in Data Analytics program assess your aptitude in various areas critical to succeeding in the program. 

Here’s a detailed look at the key entrance exams, their sections, and the typical cut-off scores you need to achieve.

Exam

Top Colleges Accepting 

Typical Cut-Off

CAT (Common Admissions Test)

All IIMs

98-100 percentile (general);

95-98 percentile (reserved)

MAT (Management Aptitude Test)

Amity Business School Noida, Christ University Bengaluru, BIMTECH Greater Noida

90+ percentile

XAT (Xavier Aptitude Test)

IIM Delhi, XLRI, K J Somaiya Institute of Management

90-95 percentile

CMAT (Common Management Admission Test)

JBIMS, Mumbai, Goa Institute of Management, SIMSREE, Mumbai

85-99 percentile

NMAT (NMIMS Management Aptitude Test)

NMIMS Hyderabad, SRM University, Delhi-NCR, Sonepat, Haryana (SRMUH), SOIL Institute of Management

150-250 score

SNAP (Symbiosis National Aptitude Test)

SIBM Pune, SCMHRD, Pune, SIIB, Pune

97-98.5 percentile

Preparation Tips for the MBA Data Analytics Entrance Exam

Here are some key steps to help you prepare effectively for an MBA in Data Analytics entrance exam.

1. Understand the Exam Format and Syllabus

Understand the sections typically covered, such as Quantitative Ability, Verbal Ability, Data Interpretation, and Logical Reasoning. Identify key topics in each section.

2. Build a Strong Foundation in Quantitative Skills

Review fundamental concepts in mathematics, especially in areas like arithmetic, algebra, geometry, and statistics. Regularly practise interpreting data from graphs, charts, and tables. 

3. Enhance Verbal and Reading Skills

Work on building a strong vocabulary by reading extensively, including business journals, articles, and literature. Regularly practise vocabulary-based questions to enhance your verbal ability.

4. Develop Analytical and Logical Reasoning Abilities

Engage in regular practice of logical reasoning questions, including puzzles, syllogisms, and critical reasoning. This will sharpen your analytical thinking and problem-solving abilities.

5. Mock Tests and Practice Papers

Take full-length mock tests to simulate the exam environment. Analyse your performance, focusing on time management and accuracy. Identify weak areas and work on improving them.

MBA Data Analytics Subjects

The MBA in Data Analytics program is structured to provide a comprehensive understanding of both business management and data science. Below is a typical MBA in Data Analytics syllabus structure.

Semester Subjects
Semester I
  • Business Communication
  • Managerial Economics
  • Financial Accounting
  • Marketing Management
  • Organisational Behaviour
  • Statistics for Business: Decision Science I
  • Introduction to Business Analytics
  • Spreadsheet Modelling I
Semester II
  • Corporate Finance
  • Human Resource Management
  • Operations Management
  • Statistical Modelling
  • Data Visualisation
  • Spreadsheet Modelling II
  • Introduction to Machine Learning
Semester III
  • Advanced Machine Learning
  • Natural Language Processing
  • Web & Social Media Analytics
  • Finance and Risk Analytics
  • Healthcare Analytics
  • Deep Learning I
Semester IV
  • Supply Chain Analytics
  • HR Analytics
  • Marketing Analytics
  • Capstone Project

Explore Career Opportunities after MBA: Business Analyst, Data Scientist, Business Intelligence Analyst, Analytics Manager, Data Consultant.

Why an MBA in Data Analytics?

In today's digital era, data is incredibly important and influences decisions in many industries. Here’s why an MBA in Data Analytics is a strategic move for your career.

1. Rising Demand for Data Analytics Professionals

Companies across various sectors are increasingly relying on data to drive their decisions. There are over 116,000 Data Analyst jobs available in India, with 2,935 new positions added recently, making it one of the fastest-growing fields.

2. MBA Data Analytics Salary

Professionals with an MBA in Data Analytics command competitive salaries. The average salary for graduates is around INR 8 Lakh Per Annum (LPA), with the potential for rapid growth as you gain experience.

3. Integration of Business and Data Science Disciplines

This program uniquely combines business strategy with data science. You’ll learn to use data to make strategic decisions, giving you a competitive edge in the job market.

4. Versatile Career Opportunities

With an MBA in Data Analytics, you can pursue various roles, such as Data Analyst, Data Scientist, Business Analyst, and more. Top companies like Mu Sigma, Accenture, and Oracle are constantly on the lookout for skilled professionals in this field.

5. Future-Proof Your Career

As more businesses recognise the importance of data analytics, the demand for skilled professionals will continue to rise. An MBA in Data Analytics ensures you have the skills needed to stay relevant in the evolving job market.

MBA Data Analytics Modes of Program

There are various modes of pursuing an MBA in Data Analytics to suit different needs and schedules. Each course type offers unique advantages depending on your career stage, professional experience, and personal circumstances. 

Mode of Program

Duration

Approx. Fees

Ideal For

Top Institutes

Full-Time MBA in Data Analytics

Typically 2 years

INR 5 lakh to INR 20 lakh

Recent graduates or professionals who can commit to full-time study

Part-Time MBA in Data Analytics

Typically 3-4 years

INR 3 lakh to INR 15 lakh

Professionals who want to balance work and study

Online MBA in Data Analytics

Varies (2-4 years)

INR 1 lakh to INR 5 lakh

Individuals who need the flexibility to study from anywhere, often while continuing to work full-time

  • Amity University Online
  • Sikkim Manipal University Distance Education (SMU-DE)
  • NMIMS Global Access School for Continuing Education

Executive MBA in Data Analytics

Typically 1-2 years

INR 10 lakh to INR 25 lakh

Experienced professionals looking to enhance their strategic and analytical skills.

  • IIM Ahmedabad
  • IIM Calcutta
  • Great Lakes Institute of Management Chennai

Next, let's explore the fees associated with these programs in top colleges in India.

Top Colleges for MBA in Data Analytics in India

According to The Hindu, the data analytics sector is expected to grow by 30% in the next five years in India. Below are some of India's top colleges known for their MBA in Data Analytics programs.

College

MBA in Data Analytics Course Fee (INR)

Amity University Online (AUO)

4.50 lakh

Kirloskar Institute of Advanced Management Studies (KIAMS)

5.25 lakh

Symbiosis Centre for Information Technology, Pune (SCIT)

12.20 lakh

KJ Somaiya Institute of Management (KJSIM)

16.29 lakh

Indian Statistical Institute, Kolkata (ISI)

24.00 lakh

Fore School of Management, Delhi (FSM)

15.98 lakh

Christ University (CU)

2.75 lakh

Indian Institute of Management Calcutta (IIM-C)

4.00 lakh

MET Institute of Software Development and Research (MET-ISDR)

1.20 lakh

Goa Institute of Management (GIM)

18.07 lakh

MBA in Data Analytics: Career Opportunities

After completing an MBA in Data Analytics, graduates are well-equipped to pursue rewarding careers across a spectrum of industries. Here's a deeper look into some of the professions graduates can pursue.

Role Average Salary (INR) Top Recruiters
Data Analyst 7 LPA Google, IBM, Accenture, Deloitte, Amazon
Data Scientist 13.2 LPA Facebook, Microsoft, LinkedIn, Airbnb, Capital One
Business Intelligence Analyst 8.8 LPA SAP, Oracle, PwC, TCS, Capgemini
Market Research Analyst 4.3 LPA Nielsen, Ipsos, Kantar, McKinsey & Company, Procter & Gamble
Financial Analyst 6.6 LPA Goldman Sachs, JPMorgan Chase, Morgan Stanley, Bank of America, Citibank
Operations Analyst 4.6 LPA General Electric, Johnson & Johnson, PepsiCo, FedEx, UPS
Healthcare Data Analyst 7 LPA UnitedHealth Group, CVS Health, Kaiser Permanente, Cerner Corporation, McKesson
E-commerce Analyst 4.5 LPA eBay, Shopify, Walmart, Wayfair, Target
Supply Chain Analyst 6.8 LPA Amazon, DHL, PepsiCo, Unilever, Procter & Gamble

These salaries are approximate and can vary based on location, experience, and the specific employer. 

MBA in Data Analytics Skills Required

Pursuing an MBA in Data Analytics requires a diverse set of skills that combine technical proficiency with business acumen. Here are some of the essential skills needed for success in this field.

  1. Communication Skills
  2. Strategic thinking
  3. Analytical skills
  4. Leadership Skills
  5. Database knowledge
  6. Project Management
  7. Programming skills

Also Read: How to Become a Market Research Analyst

MBA Data Analytics: Recommended Books

Here are some recommended books that can provide valuable insights and knowledge for MBA graduates in Data Analytics.

Book Title Author(s)
Data Science for Business Foster Provost and Tom Fawcett
Python for Data Analysis Wes McKinney
The Data Warehouse Toolkit Ralph Kimball and Margy Ross
Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die Eric Siegel
Big Data: A Revolution That Will Transform How We Live, Work, and Think Viktor Mayer-Schönberger and Kenneth Cukier
Competing on Analytics: The New Science of Winning Thomas H. Davenport and Jeanne G. Harris
Naked Statistics: Stripping the Dread from the Data Charles Wheelan

MBA Data Analytics vs. MBA Data Science: A Comparative Analysis

Both programs cater to the growing demand for data-driven insights but offer unique skill sets tailored to different aspects of data management and analysis. Here’s a detailed analysis.

Aspect MBA Data Analytics MBA Data Science
Focus Analysing data for business insights Advanced analytics, machine learning, AI
Curriculum Statistical analysis, data visualisation Programming (Python, R, SQL), deep learning
Skills Emphasis Data interpretation, business strategy alignment Programming, machine learning algorithms
Career Pathways Data analyst, business intelligence analyst Data scientist, machine learning engineer
Industry Applications Various industries for decision-making Finance, healthcare, technology for AI solutions
Salary Range (Entry-Level) Up to INR 4.2 LPA Up to INR 9.4 LPA
Job Market Demand High demand across industries Growing demand for AI, big data solutions
Career Advancement Managerial roles in analytics, consulting Specialisation in AI, research, innovative projects

Pursuing an MBA in Data Analytics is not just about earning a degree. It’s about positioning yourself as a key player in the business world. The combination of business skills and advanced data science techniques prepares you for leadership roles in a variety of industries, from finance to healthcare to technology. 

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FAQs on MBA in Data Analytics

What is an MBA in Data Analytics?

An MBA in Data Analytics is a postgraduate program that combines business management with data science to equip students with skills to analyse and interpret data for business decisions.

What are the eligibility criteria for an MBA in Data Analytics?

Candidates must have a bachelor’s degree in any discipline and may need to clear entrance exams like CAT, MAT, GMAT, CMAT, XAT, or NMAT.

How long does it take to complete an MBA in Data Analytics?

The program typically takes two years to complete.

What is the average fee for an MBA in Data Analytics in India?

Fees range from INR 20,000 to INR 10,00,000, depending on the institution.

What is the average salary after MBA in Data Analytics?

The average salary after MBA in Data Analytics is around INR 6,00,000 LPA, with the potential for higher earnings with experience.

What job roles can I pursue after an MBA in Data Analytics?

Common job roles include Data Analyst, Data Scientist, Statistician, Business Analyst, Risk Analyst, and Project Manager.

Which companies are top recruiters for MBA in Data Analytics graduates?

Top recruiters include Mu Sigma, Accenture, Latent View, Oracle, Tableau, and Manthan Systems.

What entrance exams are required for admission to an MBA in Data Analytics?

Common entrance exams include CAT, MAT, GMAT, CMAT, XAT, and NMAT.

Is work experience required for an MBA in Data Analytics?

While not always mandatory, work experience is preferred by some institutions as it demonstrates practical knowledge application.

What subjects are covered in the MBA in Data Analytics program?

Subjects include Data Science, Advanced Data Analytics, Machine Learning, Business Communication, Financial Accounting, Marketing Management, and more.

Can I pursue an MBA in Data Analytics online?

Yes, many institutions offer online and distance learning options for this program.

What skills are required for an MBA in Data Analytics?

Key skills include communication, strategic thinking, programming, leadership, database knowledge, and analytical skills.

How is an MBA in Data Analytics different from an MBA in Data Science?

MBA in Data Analytics focuses on analysing data for business insights, while MBA in Data Science emphasises programming, machine learning, and advanced analytics.

What are the top colleges in India for an MBA in Data Analytics?

Top institutions include IIM Bangalore, ISB Hyderabad, SPJIMR Mumbai, and XLRI Jamshedpur.

What is the admission process for an MBA in Data Analytics?

The process typically involves filling out an application form, taking entrance exams, participating in group discussions and personal interviews, and submitting necessary documents.

What are the career prospects for an MBA in Data Analytics graduate?

Graduates have diverse opportunities in various industries, including finance, healthcare, e-commerce, and technology, with roles in data analysis, business intelligence, and operations optimisation.

What is the typical cut-off score for CAT to get into an MBA in Data Analytics program?

The typical cut-off score for CAT is between the 95th and 100th percentile, depending on the institution.

Are scholarships available for an MBA in Data Analytics?

Yes, many institutions and external organisations offer scholarships based on merit, need, or other criteria.

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