PGDM in Business Analytics Course at Rajalakshmi School of Business (RSB), Chennai Syllabus & Subjects Semester Wise

The syllabus includes courses in data analytics, data mining, statistical analysis, machine learning, and business intelligence tools to equip students with strong analytical skills.

Syllabus & Subjects of PGDM in Business

A Post Graduate Diploma in Management (PGDM) in Business Analytics program typically offers a robust syllabus designed to equip students with the knowledge and skills needed for a successful career in the field of business analytics. The syllabus encompasses a blend of core business management subjects and specialized courses focused on analytics. Core subjects often cover areas like marketing, finance, operations management, and strategic management, providing students with a strong foundation in business principles. Specialized courses delve into topics such as data analysis, predictive modeling, machine learning, data visualization, and business intelligence tools and techniques. Additionally, students may engage in practical projects and case studies to apply their analytical skills to real-world business scenarios. This program empowers graduates to make data-driven decisions, solve complex business problems, and contribute effectively to the growing field of business analytics.

Mentioned below is a tabulation of the PGDM Business Analytics syllabus for each semester:

Semesters	Subjects
Semester I	Management Information Systems
	Statistical Analysis
	Organizational Behavior
	Data Modeling
	Quantitative Methods
	Financial Accounting
	Managerial Economics
	Marketing Management
Semester II	Research Methods
	Business Intelligence
	Computational Methods
	Managerial Communication
	Operations Management
	Financial Analytics
	Stochastic Modeling
	Optimization Analytics
	Financial Management
	Human Resource Management
Semester III	Analytics Systems Analysis & Design
	Risk Management
	Simulation Modeling
	Industry Internship Program
	Predictive Analytics
	Marketing Analysis
	Data Mining
Semester IV	Big Data Analytics
	Analytics Capstone Project
	Project Management
	Professional Development
	Operations and Supply Chain Analytics
	Ethical and Legal Aspects of Analytics
	HR Analytics
	Strategic Management
	Elective Paper
Core Subjects	Marketing Management
	Operations Management
	Organizational Behavior
	Participative learning Activities
	Quantitative Methods
	Statistics for Management
	Legal aspects of Business
	Management Concepts & Theories(MCT)
	Information Technology
	Management Information Systems
	Human Resource Management
	Managerial Accounting
	Corporate Finance
	Managerial Communication
	Business Environment
	Computer Applications in Management
	Managerial Economics
Elective Subjects	PSS for Research Methodology
	Social & Web Analytics
	DBMS & Data warehousing
	Industry Application of Analytics
	Predictive Modeling
	Spreadsheet Modeling and Analysis
	Business Modeling with Data Analysis
	Data Analytic Basics
	Business Intelligence
	Data Cleaning, Normalization & Data Mining
	Business Analytics Application
	Data Visualization
	Applied Business Intelligence
	Big Data Analytics - I
	Industry Applications of Analytics
	Introduction to Business Analytics & its Application
	Statistical Communication

Projects

When pursuing a PGDM in Business Analytics course, research projects are an integral part of the studies. These projects are judged by the professors to evaluate the student's understanding of taught subjects. Students can select their challenge file subjects primarily based totally on the specialization they select. Some of the popular research projects are listed below:

(i). Forecasting the Sales of a Supermarket During Festival Season.
(ii). Predicting Sales in Tourism for the Next 4 Years.
(iii). Predicting the Success of an Upcoming Movie.
(iv). Sales Conversion Optimization.
(v). Customer Segmentation.
(vi). Employee Attrition and Performance.

Reference Books

When pursuing a PGDM in Business Analytics, books can be a great investment for the students as they can really help them learn about their specialization in great detail. Books can be a great source of information for students where they can learn about concepts of their interest.

Students can rent the course books from libraries, download them through websites or purchase them. Listed below are some of the popular PGDM in Business Analytics course books that the students can invest in:

Name of Author	Name of Book
Foster Provost, Tom Fawcett	Data Science For Business
Eric Siegel, Edward L. Glaeser, Cassie Kozyrkov, Thomas H. Davenport	Strategic Analytics
Regi Matthew	Business Analytics for Decision Making
David M. Levine, David F. Stephan	Business Statistics: A First Course
Lila J. Trueet, Dale B. Truett	Managerial Economics