MBA in Business Analytics Syllabus and Subjects

Duration: 2 Years
Avg Fees: ₹5 - 15 LPA

MBA Business Analytics syllabus is covered across 4 semesters of the course. MBA in Business Analytics syllabus includes all subjects in the field of business intelligence, data analytics, and computer programming.

The MBA in Business Analytics course subjects are taught through classroom lectures, discussions, industry interactions, case studies, projects, and other activities. The primary focus of the MBA Business Analytics course is to instil leadership and entrepreneurial skills among the students.

The subjects offered in MBA Business Analytics syllabus are designed based on the growing job market. As the MBA in Business Analytics job scope is high, employment opportunities are available in both the public and private sectors such as Financial Analysts, Marketing Managers, etc.

Table of Contents

Semester-Wise MBA Business Analytics Syllabus

MBA in Business Analytics Syllabus pdf consists of advanced concepts in Financial, Business and Operations Management. In the first-year syllabus of Business Analytics in MBA, students have to learn the core subjects of business. In contrast, in the second year, students deal with elective and specialized subjects according to their interest area.

MBA in Business Analytics syllabus in India is divided into four semesters with a duration of two years. Students can opt for their specialization according to their area of interest in the second year of post-graduation. Here is the list of subjects in MBA in Business Analytics mentioned below in a semester-wise sequence:

First-Year MBA Business Analytics Syllabus

Listed below are some important subjects taught in the first year syllabus of MBA Business Analytics:

Semester I Semester II
Quantitative Methods Financial Management
Managerial Economics Operations Management
Management Information Systems Human Resource Management
Financial Accounting Financial Analytics
Marketing Management Optimization Analytics
Organizational Behaviour Stochastic Modeling
Statistical Analysis Business Intelligence
Data Modeling Research Methods

Second-Year MBA Business Analytics Syllabus

Listed below are some important subjects taught in the second year syllabus of MBA Business Analytics:

Semester III Semester IV
Predictive Analytics Strategic Management
Risk Management Operations and Supply Chain Analytics
Marketing Analysis HR Analytics
Data Mining Big Data Analytics
Simulation Modeling Project Management
Analytics Systems Analysis and Design Professional Development
Industry Internship Programme Elective Paper
- Dissertation

MBA in Business Analytics Subjects

MBA in Business Analytics syllabus is classified into two parts, they are core and elective subjects. Internships and projects are an essential part of the MBA in Business Analytics course syllabus. Aspirants can choose specialization according to their area of interest.

MBA in Business Analytics Core Subjects

Given below are some of the core MBA Business Analytics subjects:

  • Digital Marketing
  • Business Analytics and Intelligence
  • Social Entrepreneurship
  • Supply Chain Analytics
  • Social Media Analytics
  • Model Business Decision
  • Corporate Valuation
  • Brand Management
  • Research for Marketing Decisions

MBA in Business Analytics Elective Subjects

Given below are the elective subjects taught in the MBA in Business Analytics syllabus:

  • Corporate Governance
  • Global Securities Markets
  • Operations Strategy
  • Infrastructure Development
  • Indian and International Perspective
  • Multivariate Data Analysis
  • Business Forecasting

MBA in Business Analytics Subjects in Detail

MBA in Business Analyrics course coveres concepts in detail on Data Mining, Business Strategies, etc. A detailed view of the few core subjects under Business Analytics MBA syllabus has been mentioned below:

MBA in Business Analytics subjects Topics Covered
Management Principles and Organizational Behavior Introduction to Management and Organizational Behavior, Individual Processes in Organizations, Interpersonal process in Organizations, Organizational Process and Characteristics, Organizational Development, etc
Business Statistics Introduction to Statistics, Probability Theory, Correlation-Karl Pearson’s and Rank Correlation, Hypothesis Testing, etc
Business Communication Fundamentals of Communication, , Introducing the 7 Cs of business writing, Revising to improve the content and sentence structure, The Process of Writing E Mails, Writing Reports, Proposals Business report, etc
Business Strategy The Importance of Strategic Management, Five Forces that Shape Strategy, The Motive for Diversification, Structure, Systems and People - The 7S Framework, Core Competence as the Root of Competitive Advantage, etc
Data Mining for Business Decisions Kind of data, DM Functionalities, Architecture of data warehousing, Efficient computation of Data cubes Indexing CLAP Data and efficient processing of CLAP queries, Data Mining Primitives, Languages and System Architectures, 
Data Visualisation for Managers Introduction to data visualizations, Visually encoding data – Choosing graphic Forms, Clutter – Gestalt principles of visual perception, Story telling principles: Gricean Maxims, etc
Business Optimization and Big Data Analytics Classification of optimization problems, Operations Research Techniques for Analytics, Introduction to simulation, Types of Analytics: Descriptive – Prescriptive – Predictive – Tools, etc
Social and Web Analytics Web analytics 2.0 framework, Data (Structured data, unstructured data, metadata, Big Data and Linked Data), Web metrics and web analytics, Data analysis language and tools, Performing social media analytics, etc.

MBA in Business Analytics Projects

The projects can be taken up on different topics in MBA Business Analytics syllabus such as optimization, business forecasting, supply chain analytics, marketing analytics, etc . The projects require cooperation between various companies' processes, technology objectives, and data while contributing to business goals. Popular projects in Business Analytics MBA syllabus:

  • A Study on Various Investment Options Available in India
  • A Survey of Risk Management and Portfolio Management 
  • Impact of GST on the fast-moving Consumer Goods Sector in India
  • A Survey of the Various Employee Welfare Schemes at Hindustan Unilever
  • Analysis of the Satisfaction Level of Employees in the Banking and Finance Sector
  • Analysis of Financial Statements of Banks 

MBA in Business Analytics Course Structure

The Business Analytics subjects in MBA are designed according to the needs of the industry like banking & financial services, e-commerce, and retailing. The business analytics course provides detailed insights on the analytical aspects of finding business data and leads generated by mobile technology, computing, etc. MBA in Business Analytics syllabus helps students to enhance skills and knowledge on theoretical statistics and applied analytics.

The general course structure of the MBA Business Analytics is given below:

  • 4 Semesters
  • Core and Elective subjects
  • Project Submission
  • Summer Internship Program

MBA in Business Analytics Teaching Methodology and Techniques

Teaching methodologies and techniques used in teaching subjects in MBA business analytics can differ as per college. Students largely depend on the course content and are required to undertake an independent study. Students have to submit the final year internship file. Some of the teaching methods and technologies that may be highly effective in business analytics education are: 

  • Case study Methods
  • Presentations
  • Business Quizzes
  • Field Projects and Assignments
  • E-learning
  • Blended Learning
  • Practical Learnings
  • Problem-based Solving 
  • Projecto-curricular Activities

MBA in Business Analytics Reference Books

 Top best books on Business Analytics syllabus MBA explore a wide range of subjects in business analytics, data analytics and business intelligence. Listed below are some top books for MBA Business Analytics:

Books Author Topics Covered
Business Intelligence for Dummies Swain Scheps Understanding the principles and practical elements of BI, different approaches to build a solid BI architecture and roadmap design, relating BI to data warehousing, ERP, CRM, and e-commerce analyse emerging trends
Business Intelligence Guidebook Rick Sherman  Business and Technical Needs, Architectural Framework, Data Integration Design, Business Intelligence Design, and more
Successful Business Intelligence Cindi Howson Business Intelligence from Business Side, latest developments in business intelligence-big data, cloud, mobile, visual data discovery, and in-memory
Business Intelligence Roadmap Larissa T. Moss and Shaku Atre

Six stages of a BI project: justification, planning, business analysis, design, construction, and deployment,  five matrices that serve as references for the development process and more

Data Strategy: How to Profit from a World of Big Data, Analytics and the Internet of Things Bernard Marr

Data-driven culture, big data, data-driven decision making, data literacy, data-driven company and more

MBA in Business Analytics Fee Structure

FAQs on MBA in Business Analytics Syllabus and Subjects

Q: What are the core subjects in MBA Business Analytics syllabus?

A: Social Media Analytics, Supply Chain Analytics, Digital Media Analytics, etc are some core subjects in MBA Business Analytics.

Q: Does MBA Business Analytics require knowledge of Mathemantics?

A: Yes, good knowledge of mathematics and data structures is essential for this course.

Q: Is coding included in MBA in Business Analytics syllabus?

A: No, it is not a mandatory skill to know coding to do this course. However, basic coding skills will benefit students while learning analytics subjects.

Q: What are the MBA Business Analytics syllabus for first year?

A: Managerial Economics, Financial Accounting, Organizational Behaviour, etc are some subjects taught in the first course.

Q: Is Business Analytics hard in MBA?

A: No, it is not a complicated course for students interested in knowing the simulation modelling of a business.

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