2 Years
Post Graduate
Management
Full Time
The syllabus includes courses in data analytics, data mining, statistical analysis, machine learning, and business intelligence tools to equip students with strong analytical skills.
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 |
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