PGDBA Syllabus and Subjects 2024

Duration: 2 Years
Avg Fees: ₹50K - 4 LPA

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PGDBA syllabus aims to study the application of analytics in a dynamic business environment by understanding the usage of data analytics tools, concepts, and methodologies for data-driven business decision-making. The PGDBA subjects include topics like data visualization, modeling techniques, database management, etc.

The PGDBA course equips students with industry domain expertise, ethical data handling, and critical thinking skills to efficiently work in consulting and data researcher roles in sectors like healthcare, retail, e-commerce, etc.

Table of Contents

Semester Wise PGDBA Syllabus

The PGDBA course syllabus focuses on all the current trends and information in the fields of business and technology, along with conceptual knowledge about statistics, probability, optimization techniques, etc. The semester-wise PGDBA syllabus is given below: 

First Year PGDBA Syllabus

The syllabus for PGDBA in the first year provides students with fundamental concepts of business management concerning business analytics in different industries. Below mentioned is the PGDBA first-year syllabus:

Semester I Semester II
Communications for Managers Time Series and Regression Analysis
Management Principles and Organization Behavior Operation Management Modeling
Database Management System Elective-I
Fundamentals of Marketing Management Elective-II
Statistics of Data Structures Elective-III

Second-Year PGDBA Syllabus

The PGDBA syllabus in the third semester is focused on providing advanced knowledge about business analytics in different specializations such as retail, marketing, supply chain, banking, etc. 

The fourth semester of the course is a full-fledged industry learning course. The college collaborates with several top businesses and organizations in the field of business analytics. These partnerships make it easier to place students in internships and projects with organizations like IBM, Cognizant Solutions, Deloitte, etc.

Below mentioned is the third-semester PGDBA syllabus:

Semester III
Fundamentals of Strategic Management
Fundamentals of Human Resource Management
Managerial Economics
Basics of Data Mining and Its Usage in Businesses
Data Analysis (Categorical Type)

PGDBA Subjects

The PGDBA course syllabus teaches students about the latest developments in business and techniques used in different business areas, such as marketing, retail, finance, social media, etc. Below listed are the core and elective subjects in the PGDBA course:

PGDBA Core Subjects

The PGDBA course covers the following core subjects that help students build foundational knowledge about business analytics and other managerial concepts:

  • Management Process and Organizational Behavior
  • Fundamentals of Human Resource Management
  • Managerial Economics
  • Accounting for Management
  • Data Science and Computation
  • Business Communication
  • Fundamentals of Database Management Systems
  • Financial Management
  • Marketing Management

PGDBA Elective Subjects

Below listed are PGDBA elective subjects that students can choose as per their interest area:

  • Fundamentals of Computational Finance
  • Understanding Cloud Computing
  • Fundamentals of Marketing Analytics
  • Fundamentals of Supply Chain Analytics
  • Fundamentals of Banking Analytics with Business Accounting
  • Fundamentals of Product Analytics
  • IPR Law and Management in Business Analytics

PGDBA Subjects In Detail

The PGDBA subjects focus on fundamental concepts of business analytics and advanced topics like statistical analysis, data mining, and predictive modeling. Listed in the table are the PGDBA subjects in detail:

PGDBA Subjects Topics
Accounting for Management

Analyzing and Interpreting Financial Statements, Management Accounting, Cost Accounting, and Measuring and Reporting

Business Analytics Statistics

Probability Theory, Regression Analysis, Statistical Distribution, etc.

Data Management and System Database Concepts, SQL, Data Integration, and Warehousing
Operation Research Linear Programming, Network Optimization, and Types of Optimization Techniques in Business
Predictive Modeling  and Machine Learning Concepts of Machine Learning Algorithms, Clustering, and Regression, Supervise and Unsupervised Learning

College Wise PGDBA Syllabus

The PGDBA syllabus differs based on the college curriculum and program objectives. Students, to have a better understanding of the course, can download the PGDBA syllabus PDF from the respective universities' websites. Below is the PGDBA syllabus for IIT Kharagpur:

IIT Kharagpur PGDBA Syllabus

The two-year PGDBA course at IIT Kharagpur is offered jointly by IIM Calcutta, IIT Kharagpur, and ISI. The fourth semester of the course is based on industry-driven training. Below is the PGDBA syllabus at IIT Kharagpur:

Semester I Semester II
Basics of Financial Management Fundamentals of Time Series and Regression Models
Business Communication Fundamentals of Machine Learning
Fundamentals of Organizational Behavior Operation Management Modeling
Understanding Contemporary Business Analytics Lab Work
Fundamentals of Statistical Data Structures Elective-I
Database System Concepts Elective-II
Applications of Stochastic Processes Elective-III
Semester III
Understanding Categorical Data Analysis
Use of Data Mining in Businesses
Economics for Business
Fundamentals of Strategic Management
Elective VII

PGDBA Project Topics

PGDBA projects are given to the students to develop knowledge and skills in project management within the context of a business project environment. Students will learn how to identify areas that impact a project’s success as well as the tools and techniques of management strategies. Popular PGDBA course project topics include:

  • Understanding Social Media Analytics for Business
  • Role of Real-Time Analytics and IoT in the Manufacturing Industry
  • E-Commerce Business Sales Forecasting using Time Series Analytics
  • Role of Text Analytics in Helpdesk Ticket Data
  • Study on Effectiveness of Employees Roles in Service Delivery Using HR Analytics
  • Study on Market Basket Analysis in Retail Industry

Postgraduate Diploma in Business Analytics Course Structure

For students to succeed in the field of business analytics, the PGDBA course structure is created to provide them with the knowledge and abilities they need. Students graduate with a solid foundation and the capacity to make data-driven decisions in a corporate setting through a combination of academic learning and practical application.

  • IV Semesters
  • Core Subjects
  • Elective Subjects
  • Practical Workshops and Guest Lectures
  • Project Submission
  • Soft Skills and Business Communication
  • Internship

PGDBA Teaching Methodology and Techniques

The PGDBA curriculum takes into account the various teaching techniques followed by the business field with developing technologies. The teaching methods of business analytics professionals follow experiential learning methods. The following are some general teaching methodologies used in the PGDBA course: 

  • Traditional Lectures
  • Case Study
  • Capstone Projects
  • Experiential Learning
  • Simulation Learning
  • Seminars and Workshops
  • Data Camps and Hackathons

Postgraduate Diploma in Business Analytics Reference Books

The PGDBA books cover all the major and elective topics in the course, and they also provide students with knowledge of different areas of business analytics. The following books are good references:

Subject Books Author
Data Science Data Science for Business Foster Provost and Tom Fawcett

Fundamentals of Business Analytics

Business Analytics: Methods, Models, and Decisions

James R. Evans

Role of Big Data in Business Analytics

Big Data Analytics: Tools and Technology for Effective Planning

Arvind Sathi


Python for Data Analysis: Data Wrangling with Pandas, Numpy, and IPython

Wes McKinney


What is the syllabus for the PGDBA course?

PGDBA syllabus includes topics like data analysis and visualization, predictive analytics, data management, etc.

What are the subjects in the PGDBA course?

Some of the subjects in the PGDBA course include data mining, marketing analytics, financial analytics, etc.

Which books should be referred to in PGDBA's first year?

Students can refer to Introduction to Statistics by Ronald E. Walpole, and Microsoft Excel Data Analysis and Business Modeling by Wayne L. Winston.

What are the trending topics for research in the PGDBA domain?

Some of the trending topics for research in PGDBA are related to areas of data analytics, machine learning, and business intelligence.