Administrative Staff College of India

Post Graduate Diploma in Management(PGDM)

Two Year Full-Time Post Graduate Programme
(Approved by AICTE, Govt. of India)

PGDM Curriculum

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  • PGDM Curriculum

The curriculum consists of compulsory courses as well as electives. In the entire 2-year programme, the students will have to take 35 courses. Of these, 31 courses are compulsory and 4 are electives.

Dual Specialization:

Each student can choose dual specialization.

The following specializations are being offered:


  • Human Resource Management
  • Marketing Management
  • Financial Management
  • Operational Management
  • Artificial Intelligence & Data Analytics

Internship and Dissertation

Each student will have to undergo internship with an organization at the end of the 2nd semester for three months. Also, they will have to conduct a dissertation at the end of the 4th semester.


Semester 1

  • Corporate Financial Reporting & Analysis
  • Organizational Behaviour I
  • Managerial Economics
  • Quantitative Methods
  • Management Information System (MIS) and Basics of Computer Based Analytics
  • Production and Operations Management
  • Principles of Management & Introduction to Marketing
  • Managerial Communication

Semester 2

  • Cost Management
  • Corporate Finance
  • Organizational Behaviour II
  • Marketing Management
  • Research Methodology
  • Supply Chain Management
  • Human Resource Management

3-Months Summer Internship

  • General Papers in Sem-III
    • Project Management
    • Strategic Management
  • General Papers in Sem-IV
    • Business Law

Specialization Papers

Marketing Management


  • Strategic Brand Management
  • Consumer Behaviour
  • Integrated Marketing Communications

Sem IV

  • Marketing Research and Analytics
  • B2B Marketing and Rural Marketing
  • Sales and Retail Management

Human Resource Management


  • Learning & Development
  • Performance Management
  • HR Analytics & Information System

Sem IV

  • Industrial Relation and Labour Laws
  • Organizational Change and Development
  • Strategic Human Resource Management

Financial Management


  • Corporate Taxation and Financial Planning
  • Merger & Acquisition and Corporate Restructuring
  • Security Analysis and Portfolio Management

Sem IV

  • Financial Risk Management
  • Management of Financial Services
  • International Financial Management

AI & Business Analytics


  • B I Tools and Introduction to Machine Learning
  • AI for Business
  • Application of Data Science in Various Industry – I (Using RStudio/Python)

Sem IV

  • Machine Learning II
  • Applications of AI in the Industry
  • Application of Data Science in Various Industry – II

Dissertation in Sem-IV

  • Internship Report & Viva Voce