MBA Business Analytics Syllabus: Year-wise Subjects, Electives, Entrance Exam Syllabus, Top Colleges Syllabus

MBA Business Analytics, Duration - 2 Years

Is this course a right fit? Check Eligibility

Sudeep Singh
Sudeep Singh

New Updates About MBA Business Analytics

Table of Content

MBA Business Analytics is a program designed to help executives and managers make better business decisions. It melds the analysis skills of a data scientist with real-world business challenges to help you generate value right away. It is taught by industry practitioners and emphasizes the development of strong analytical skills coupled with the application to leading-edge practices in business analytics.

An MBA in Business Analytics is about exploring data for patterns and deriving actionable insights. Students explore fundamental topics in business, economics, and data manipulation to include such topics as organisational behaviour, managing data insights, visualising data presentation tools, and financial management. Most popular business analytics programs are at the undergraduate level (BBA) and postgraduate (MBA). The curriculum usually consists of foundational knowledge in business management, accounting, finance, and human resources.

 

MBA Business Analytics Program Key Facts

An MBA in Business Analytics course develops strong analytical and managerial capabilities through practical data-driven experiences, equipping leaders to effectively address organizational challenges and accomplish their business goals.

  • Organizations now have access to vast amounts of data due to digital transformation.
  • Business Analytics organizes and interprets this data for better decision-making.
  • Specialized applications and tools offer customized solutions for various business needs.
  • Skills in statistics, SQL, and analytics tools are important for effectively handling business data.

Types of Business Analytics Methods

  • Descriptive Analytics: Explains current operations and status.
  • Diagnostic Analytics: Identifies causes of past or current issues.
  • Predictive Analytics: Forecasts future outcomes based on data trends.
  • Prescriptive Analytics: Recommends specific actions to drive business growth.

Eligibility for Business Analytics Courses

Eligibility Criteria

Details

Educational Qualification

Completion of 12th standard (10+2) from a recognized board and graduation from a recognized university.

Minimum Aggregate

Typically, a minimum of 50% aggregate marks in graduation is required.

Admission Process

Selection is based on merit or entrance exams such as CAT, MAT, CUET, etc.

Additional Requirements

Certain universities may have specific or additional eligibility conditions.

 

 

MBA Business Analytics Year-wise Syllabus

The MBA-Business Analytics is a two-year program, divided into 4 semesters, which allows an individual from any educational background to be proficient as a manager through this course. Introducing a progressive curriculum, graduates will have a strong fundamental business concepts and advanced analytics capabilities to better address the changing business needs of today.

MBA Business Analytics First Year Syllabus

Semester I

Semester II

Management Concepts & Organizational Behavior

Business Environment & Legal Aspect Of Business

Managerial Economics

Data Mining Techniques – Predictive Modeling & Pattern Discovery

Financial Accounting For Managers

Business Research Methods

Business Statistics and Analytics

Financial Management & Corporate Finance

Marketing Management

Operations Management

Introduction To Business Analytics & Data Science

Quantitative Techniques For Managers

Design Thinking

Data Visualization & Descriptive Analytics Using R

 

MBA Business Analytics Second Year Syllabus

Semester III

Semester IV

Strategic Management

Emerging Technologies in Global Business Environment

Artificial Intelligence & Machine Learning

HR Analytics

Human Value And Professional Ethics

Social Media & Web Analytics

Supply Chain Analytics

Healthcare Analytics

Marketing Analytics

Business Applications of Block chain Technologies

Summer Training Project Report & Viva Voce

Database management system

 

Executive Programme in Business Analytics (EPBA) Syllabus

The EPBA is a 1-year executive education program designed for professionals who are looking to upskill in business analytics and create data-driven organizations. The program is best suited for candidates who have completed their graduation with a minimum of 50% marks and are actively working with a minimum of two years of work experience in a relevant field, having studied Mathematics at the 10+2 level.

The curriculum also covers a wide range of topics in business analytics from basic statistical concepts to advanced subjects such as Big Data, Cloud Computing, Financial Analytics, and Predictive Modeling. Classes are scheduled for maximum flexibility, so it’s ideal even if you’re a working leader.

Subject

Advanced Topics in Analytics: Big Data, Cloud Computing

Marketing Analytics

Business Analytics and Competitive Advantage

Mathematics for Business Analytics

Data Mining Applications

Operational Analytics

Data Visualisation and Descriptive Analytics

Predictive Modelling

Financial Analytics

Time Series Models in Business

 

Postgraduate Certificate in Business Analytics (PGCBA)

The PGCBA is a flexible one-year program meant for working professionals and graduates with at least 50 % marks, a Mathematics or Statistics background. The foundation-to-advanced analytics tools and methodologies taught in training students on data visualization, core statistics, leveraging machine learning, and an advanced forecasting toolset.

Subject

Data Visualisation and Descriptive Statistics

Text Mining

Statistics for Data Science

Analytics Application

Regression Techniques and Forecasting

Prescriptive Analytics using Optimization and Simulation

Data Mining

Business Forecasting

Machine Learning

Big Data Analytics

 

MBA Business Analytics Entrance Exam Syllabus

CAT is the entrance test for candidates who wish to acquire admission in the MBA Business Analytics program from top B-schools. IIMs hold the CAT exam on a rotational basis and are scheduled for November 30, 2025.

The CAT exam is conducted online by computer and occurs in over 150 cities throughout the country on an annual basis. It has divided its syllabus into 3 main sections- Verbal Ability & Reading Comprehension, Data Interpretation & Logical Reasoning, and Quantitative Aptitude.

There are generally 24 questions in Verbal Ability & Reading Comprehension, 20 questions from Data Interpretation, and there will be around 22 questions based on Quantitative Aptitude.

CAT 2025 Entrance Exam Syllabus for MBA Business Analytics Admission

Verbal Ability & Reading Comprehension (VARC)

Data Interpretation & Logical Reasoning (DI&LR)

Quantitative Aptitude (QA)

Critical Reasoning

Bar Graph

Number System

Sentence Correction

Pie Chart

Data Arrangement

Fill in the Blanks

Caselets

Theory of Equations

Para Completion

Data Sufficiency

Clock and Calendars

Para Summary

Line Graph

Mensuration

Grammar and Usage

Tables

Maxima and Minima

Word Usage

Combination of Graphs

Heights and Distances

Para Jumble

Games and Tournaments

Trigonometric Ratios

 

MBA Business Analytics Syllabus at IIM Bangalore

During the first year, PGP-BA students cover eighteen core courses in three terms (49.5 credits) that offer a fundamental understanding of disciplines such as accounting, finance, economics, management, analytics, communications, etc.

This is succeeded by a summer internship, which can be waived for students with at least 34 months of relevant work experience. In the second year, they complete four core courses and at least four analytics field electives from a list of 16, plus any other elective interests in either analytics or general management for a total credit range between 45-51.

Term I

Credits

Term II

Credits

Term III

Credits

Term IV

Term V

Term VI

Accounting for Decisions

3

Corporate Finance

3

Business, Government and Society: Ethics and Responsible Business

3

Natural Language Processing (NLP)

Field Elective

Field Elective

Advances in Business Communication

1.5

Communication in the Digital Age

1.5

Introduction to Computing

1.5

Multivariate Data Analysis

Field Elective

Free Elective

Marketing Management

3

Managing People and Performance in an Organisation

3

Time Series and Forecasting Techniques

3

Artificial Intelligence and Deep Learning

Field Elective

Free Elective

Economics for Managers

3

Operations Management

3

Machine Learning and Applications

3

Optimisation

Free Elective

Free Elective

Organizational Behaviour and Design

3

Decision Sciences-II

3

Macroeconomics

3

Field Elective

Free Elective

 

Decision Sciences-I

3

Competition E Strategy

3

Entrepreneurial Mindset and Action

3

Free Elective

Free Elective

 

Total Credits

16.5

Total Credits

16.5

Total Credits

16.5

Total Credits

Total Credits

Total Credits

 

MBA Business Analytics Electives at IIM Bangalore

IIM Bangalore offers the largest selection of electives among the IIMs. These electives cover a wide range of topics listed below. An open auction system is applied, where students can enroll themselves in the elective they prefer. This roster is tentative and may change every year in accordance with student demand.

Discipline

Elective Course Title

Decision Sciences

Analytics for Cross‐functional Excellence

Analytics for E-commerce and Retail Operations

Business Analytics and Intelligence

Data Visualization and Storytelling

Generative Artificial Intelligence

Sports Analytics

Spreadsheet Models for Business Decision Problems

Economics

Behavioural Economics

Business, Finance & International Economy

Econometrics for Consultants

Global Common Negotiations and Business in Network Technologies

International Macroeconomics

Entrepreneurship

Developing Leadership Networks

Entrepreneurial Marketing

Global Perspectives: Understanding the West through its Classics

Motorcycles and Immersion in Local Entrepreneurial Settings

Lean Launch Lab: Building Ventures Iteratively

New Age Business Models

Venture Capital and Entrepreneurship

Finance and Accounting

Advanced Value Investing

Advanced Corporate Finance

Corporate Financial Strategy

Corporate Governance and Ethics

Financial Derivatives

Financial Markets

Financial Modelling

Fintech: How Technology is Reshaping Financial Services Ecosystem

Fixed Income Securities and Derivatives

Global Securities Market

International Finance

Investments

Alternative Investments

Management of Banks and Financial Institutions

Mergers, Acquisition and Corporate Restructuring

New Enterprise Financing

Real Estate Investment Management

Risk Management

Valuation

Wealth Management and Personal Financial Planning

Information Systems

Artificial Intelligence Applications for Managers

Big Data Analytics

Digital Product Management

Gamification for Management and Business

Managing Digital Transformations

Responsible AI

Software Product Management

Management Communication

Communication for Leaders

CEO's Agenda - Towards Climate Action

Intercultural Managerial Communication

Marketing

Agile Marketing

Analytical Marketing

Brand Management

Business to Business Marketing

Competitive Marketing Strategy

Consumer Behaviour

Customer Relationship Management

Digital Marketing Strategies

Global Marketing

Marketing Analytics

Marketing Communication

Marketing of Hi-Tech Products and Innovations

Marketing ROI & Media Metrics

Omnichannel Retail Strategy

Product Strategy and Management

Research for Marketing Decisions

Sales and Distribution Management

Strategies for Mobile Marketing

Strategy, Tactics and Economics of Pricing

Organisational Behaviour and Human Resources Management

Decision Making

Enlightened Leadership for Responsible Business

Extreme Leadership

Inclusive Business Models

Leadership in Digital Era

Leading with Joy - Leveraging the Mind to Create Greater Impact

Learning to Lead: Challenges and Competencies

Managing Career Success and Transition

People Management Skills

Personal Values, Goals and Career Options

Storytelling for Business Managers

Production and Operations Management

Business Process Improvement

Competition and Co-operation in Business Ecosystems

Greening the Operations and Supply Chain

Operations Strategy

Project Management Essentials

Responsible Business Operations

Revenue Analytics

Service Delivery and Management

Supply Chain Management

Public Policy

Building Sustainable and Liveable Cities

Business Government and Society

Business Law

Business Unusual: Understanding Alternative Business Models

Corporate Excellence with Econometrics

Doing Business in Indian Infrastructure

Education Policy: Concepts and Praxis

Understanding Contemporary Japan A Nation in Transition

Ethics and Public Policy

Foundations of Development Economics: Conceptual Issues and Practice

Health Economics: Theory and Practice

History of India's Political Economy

Public Policy for Managers

Rural Banking and Financial Inclusion

Social Entrepreneurship

Strategy

AI Strategy

Business Strategy using Capstone Simulation

Corporate Strategy

Design Thinking - An Approach to Innovation and Creativity

Digital Business Models and Strategy

Green Business Management

Leadership: Vision, Meaning and Reality

Learning from Corporate Failures

New Product Development

Platform Business Models

Strategic Leadership

Strategic Leadership: Sustaining Firm Growth

Strategic Management in Media and Entertainment Industry

Strategic Management of Technology and Innovation

Strategic Stewardship

Strategic Thinking & Decision Making

Strategy Consulting

Strategy Implementation

Technology and Innovation Strategy

Technology and Innovation Management

Technology Strategy

Interdisciplinary Courses

An Introduction to the World’s religions

Business Planning for International Markets (BPIM): Japan, Dubai

Explorations in Architecture and Design: Lessons for Managers

Foreign Language Courses: French, Spanish, German, Japanese

General Commercial Knowledge

Himalayan Mountain Challenge

Introduction to Hindu Philosophy

Introduction to Indian Knowledge System

Management Paradigms from Bhagavad Gita

 

MBA Business Analytics Syllabus at IIM Kashipur

The two-year full-time residential MBA Business Analytics is a program that combines general management fundamentals in the first year, during which students will study core courses for a term's duration, and after completion, they will undergo a 7-10 week internship with an industry/organisation.

During the Second Year, the major in advanced analytics options and electives dissertation is spread over three terms. This provides students with the opportunity to research and apply their analytical skills for hands-on problem-solving. Completing a curriculum that combines theoretical understanding with practical experience and skill development, students are trained to be leaders in data science and analytics.

Year/Term

Course Type

Course Titles / Components

First Year

 

 

Term I

Analytics Core

Business Statistics, Mathematical Foundations

Management Core

Organizational Behavior, Financial Accounting, Financial Markets, Microeconomics, Marketing Management I, Workshop on Written and Oral Communication

Term II

Analytics Core

Decision Modelling, Management Information Systems, Business Computing I, Introduction to Business Analytics

Management Core

Corporate Finance, Marketing Management II, Operations and Supply Chain Management, Legal Aspects of Business

Term III

Analytics Core

Business Computing II, Seminar on Research Methods, Data Visualization, Data Management & Big Data

Management Core

People Management in Organizations, Strategic Management

Internship

Summer Internship (7-10 weeks)

Second Year

 

 

Term IV

Analytics Core

Applied Econometrics for Managers, Data Science and Machine Learning, Social Media and Web Analytics

Dissertation

Dissertation Part A

Electives

Elective Courses

Term V

Analytics Core

Natural Language Processing, AI & Deep Learning, Advanced Data Analysis

Dissertation

Dissertation Part B

Electives

Elective Courses

Term VI

Dissertation

Dissertation - Final

Electives

Elective Courses

 

MBA Business Analytics Elective Courses at IIM Kashipur(Area-wise)

Area

Subjects

Analytics

  • Analytics using Infographics & Advanced Visualization
  • Explainable AI
  • Feature Engineering
  • Healthcare Analytics & Strategy
  • Sport Analytics
  • Tourism Analytics & Applications

Communications

  • Content Development Strategy for Social Media Campaigns
  • Corporate Communication and Crisis Management
  • Media and Entertainment Business Management
  • Movies for Management

Economics

  • Advanced Monetary Economics
  • Analytics for Business of International Trade
  • Applied Time Series Econometrics
  • Behavioral Economics for Decisions
  • Causal Machine Learning
  • Food-Tech and Ag-Tech Entrepreneurship
  • Growth, Development, and Indian Economy

Finance & Accounting

  • Behavioral Finance
  • Business Valuation
  • Commercial Bank Management
  • Digital Finance
  • Entrepreneurial Financial Management
  • Financial Analytics
  • Financial Derivatives
  • Financial Econometrics
  • Financial Risk Measurement and Management
  • Financial Statement Analysis and Forensic Accounting
  • Fixed Income Markets
  • Investment Management
  • Mergers and Acquisitions
  • Private Equity and Investment Banking
  • Trading Strategies

Information Technology & Systems

  • Advanced AI Using Reinforcement Learning
  • AI Applications
  • Artificial Intelligence in Cloud
  • Automated Data Collection
  • E-Commerce
  • Enterprise Resource Planning
  • Image Analytics
  • Information and Network Security
  • IT Consulting
  • IT Product Management
  • IT Project Management
  • ML Applications with Spark
  • Robotics Process Automation

Marketing

  • Advanced Media Marketing
  • Applications of Design Thinking
  • Bootstrap Marketing
  • Business to Business Marketing
  • Consumer Behavior
  • Digital Marketing
  • Marketing Analytics
  • Marketing Strategy
  • Pricing Management
  • Product and Brand Management
  • Retail Management
  • Sales and Distribution Management
  • Services Management

Operations Management & Decision Sciences

  • Advanced Managerial Decision Analysis
  • Causal Machine Learning
  • Decision Making Using R (Case Study Approach)
  • Enterprise Resource Planning
  • Fuzzy Sets and Fuzzy Logic in Decision-Making
  • Industry 4.0 - Transforming Business Operations
  • Logistics Management
  • Multivariate Data Analysis
  • Operations and Technology Management
  • Operations Strategy
  • Project Management
  • Quality Management & Six Sigma
  • Services Management
  • Strategic Sourcing Management
  • Supply Chain Analytics

Organizational Behaviour & HR

  • Conflict & Negotiation Management
  • Cross-cultural Leadership
  • Diversity and Inclusion at Workplace
  • Employment Relations and Labour Laws
  • Fostering Performance in Digital Workplaces
  • HR Analytics
  • Leading New Age Innovation for Corporate Creativity
  • Managing Organizational Change in a Disruptive World
  • Performance Management and Appraisal
  • Power and Politics and Organization
  • Talent and Competency Management
  • Talent Management for Organizational Excellence

Strategy

  • International Business
  • Management Consulting
  • Mergers and Acquisitions
  • Strategies for Emerging Markets (SEM)

 

MBA Business Analytics Syllabus at Delhi University

The MBA in Business Analytics is a full-time two-year course amounting to 112 credits and spread across four semesters. It starts with fundamental management, accounting, marketing, and business statistics concepts to establish a foundation.

The second year delves into specialization themes such as AI, machine learning, HR analytics, and marketing analytics while learnings are customized through electives. Applied components include a hands-on practicum and summer internship, getting graduates ready to use analytics for effective business decision-making.

Semester

Course Title

Lecture Hours

Practical Hours

Credits

Semester I

 

 

 

 

 

 

 

Management and Organisational Behaviour

3

1

4

Marketing Management

3

1

4

Accounting for Managers

3

1

4

Economics for Managers

4

0

4

Business Statistics and Research Methods

3

1

4

Introduction to Analytics

3

1

4

Data Visualisation

1

1

2

Indian Knowledge System

2

0

2

Total Credits

 

 

 

28

Semester II

 

 

 

 

 

 

 

Corporate Finance

3

1

4

Human Resource Management

3

1

4

Big Data and Cloud Computing

3

1

4

Using R for Analytics

2

2

4

Operations Management

3

1

4

Management Science

3

1

4

Data Warehousing and Data Mining

1

1

2

Life Skills and Communication

2

0

2

Total Credits

 

 

 

28

Semester III

 

 

 

 

 

 

 

Corporate Governance, Ethics and Sustainability

4

0

4

Using Python for Analytics

1

1

2

Artificial Intelligence and Machine Learning

3

1

4

HR Analytics

3

1

4

Marketing Analytics

3

1

4

Financial Analytics

3

1

4

Summer Internship Project Report

0

2

2

Open Elective Course (Choose one)

*

*

4

Total Credits

 

 

 

28

Semester IV

 

 

 

 

 

 

 

Entrepreneurship and New Venture Planning

3

1

4

Strategic Management

4

0

4

Supply Chain Analytics

3

1

4

Healthcare Analytics

3

1

4

Social Media Analytics

1

1

2

Cyber Threats and Security

3

1

4

Indian Ethos and Leadership

2

0

2

Elective Course (Choose one)

*

*

4

Total Credits

 

 

 

28

 

MBA Business Analytics Elective Courses at DU

Title of the Paper

Lecture Hours

Practical Hours

Credits

Skills and Techniques of Accounting

3

1

4

Business Analysis using Financial Statements

3

1

4

Financial Markets and Institutions

4

0

4

Planning for Personal Finance

3

1

4

Investment Management

3

1

4

Project Management Professional-1

3

1

4

International Financial Management

3

1

4

Startup-1

3

1

4

Enterprise Risk Management

4

0

4

World Law Prospects

3

1

4

Project Management Professional-2

3

1

4

Startup-2

3

1

4

Internet of Things

3

1

4

Compensation Management

3

1

4

Learning and Development

3

1

4

Digital Marketing Analytics

2

2

4

Financial Modeling using Excel

0

4

4

Knowledge Management

3

1

4

Human Resource Information System

3

1

4

Advanced Machine Learning

3

1

4

Time Series Analytics

3

1

4

Predictive Analytics

2

2

4

Enterprise Performance Management

3

1

4

Robotic Process Automation in Business

3

1

4

 

MBA Business Analytics Syllabus at BITS Pilani

The MBA Program in Business Analytics is a work-integrated, independent degree in BITS Pilani that focuses on providing students with the theoretical foundation and practical knowledge. It combines the foundational management and analytics core with a broad selection of electives, covering at least 76 units distributed across more than 21 individual courses.

The program involves a set of core courses, electives, and a culminating experience, which includes either a thesis or Practice School (industry project). This combination graduates students for positions as leaders in data-driven decision-making across a number of business areas.

Semester-wise Course Structure

Year

Semester

Course Title

Units

First Year

Semester I

Managerial Economics

3

Financial Statement Analysis & Reporting

3

Marketing Management

3

Managing People & Organization

3

Statistics & Basic Econometrics

3

Data Management and Warehousing

3

Programming for Analytics

3

Strategic Management

3

Corporate Finance

3

Operations & Supply Chain Management

3

Data Visualization, Ethics and Data Privacy

3

Time Series Analysis and Forecasting

3

Predictive Analytics

3

 

Total

 

21

First Year

Semester II

Deep Learning for Business

3

Prescriptive Analytics with Mathematical Programming

3

Elective from Group 1

3

Elective from Group 2

3

16 or 20

 

 

Total

 

18 or 20

 

MBA Business Analytics Elective Courses at BITS Pilani

 Elective Pool Group-1

 

Credits

Advanced Spreadsheet & Macro Programming For Business

3

Big Data Analytics

3

Bayesian Analysis

3

Natural Language Processing For Business

3

 Elective Pool Group-2

Analytics For Supply Chain

3

Supply Chain Finance

3

Discrete Event Simulation

3

IT Project Management

3

Marketing Analytics

3

Digital Analytics

3

Pricing Analytics

3

Retail Analytics

3

Customer Engagement And Analytics

3

Marketing Research & Metrics

3

Financial Analytics

3

Financial Derivatives And Analysis

3

Financial Modelling And Valuation

3

Financial Technology

3

People Analytics

3

Strategy Analytics

3

Knowledge Management And Digital Strategy

3

Top Recruiters

Coca Cola Coca Cola
Adobe Adobe
Dell Dell
3i infotech 3i infotech
3M 3M
Amazon Amazon
American Express American Express
Bank of America Bank of America
Cognizant Cognizant
Citigroup Citigroup
Cisco Cisco
Central bank of india Central bank of india
Cadbury Cadbury
Boston Consulting Group Boston Consulting Group
Boston Analytics Boston Analytics
booz and company booz and company
atkearney atkearney
axis bank axis bank
Bank of Baroda Bank of Baroda
Bank of  India Bank of India
barclays capital barclays capital
Continuum Solutions Continuum Solutions
Cushman and Wakefield Cushman and Wakefield
Deloitte Deloitte
D. E. Shaw India Software Private Limited D. E. Shaw India Software Private Limited
Deutsche Bank Deutsche Bank
Dr.Reddy’s Laboratories Ltd Dr.Reddy’s Laboratories Ltd
Emami Limited Emami Limited
escorts escorts
essar group essar group
evalueserve evalueserve
eveready eveready
Futures First Futures First
Ge Capital Ge Capital
General Motors General Motors
godfrey philips india godfrey philips india
goldman sachs goldman sachs
grail research grail research
Hindustan Aeronautics Limited (HAL) Hindustan Aeronautics Limited (HAL)
Hindustan Unilever Limited Hindustan Unilever Limited
Hewlett-Packard (HP) Hewlett-Packard (HP)
HPCL HPCL
hughes communication hughes communication
IBM IBM
ICICI Bank ICICI Bank
ici india ici india
imrb imrb
inductis inductis
infosys infosys
ING Vysya Bank ING Vysya Bank

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