Latest Updates for PGDBA
CMA 2024 admit card for the December session has been released.
The MAT December Session Exam 2024 will be held from Dec 7-22, 2024.
The last date to apply for the MAT Exam December session 2024 is Dec 15, 2024.
The SNAP Exam 2024 will be conducted on Dec 9, 15, and 21, 2024.
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
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:
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 |
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) |
Elective-IV |
Elective-V |
Elective-VI |
Elective-VII |
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:
The PGDBA course covers the following core subjects that help students build foundational knowledge about business analytics and other managerial concepts:
Below listed are PGDBA elective subjects that students can choose as per their interest area:
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 |
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:
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-IV |
Elective-V |
Elective-VI |
Elective VII |
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:
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.
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:
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 |
Python for Data Analysis: Data Wrangling with Pandas, Numpy, and IPython |
Wes McKinney |
Q: What is the syllabus for the PGDBA course?
A: PGDBA syllabus includes topics like data analysis and visualization, predictive analytics, data management, etc.
Q: What are the subjects in the PGDBA course?
A: Some of the subjects in the PGDBA course include data mining, marketing analytics, financial analytics, etc.
Q: Which books should be referred to in PGDBA's first year?
A: Students can refer to Introduction to Statistics by Ronald E. Walpole, and Microsoft Excel Data Analysis and Business Modeling by Wayne L. Winston.
Q: What are the trending topics for research in the PGDBA domain?
A: Some of the trending topics for research in PGDBA are related to areas of data analytics, machine learning, and business intelligence.
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