Programme Curriculum

PGDM PROGRAMME CURRICULUM - COURSE STRUCTURE


TERM 1

Credits

Hrs.

TERM II

Credits

Hrs.

TERM III

Credits

Hrs.

Micro Economics

3

30

Macro Economics

3

30

Economic Policy

3

30

Accounting

3

30

Financial Management I

3

30

Financial Management II

3

30

Quantitative Methods I


 (10 hrs. lab on Excel, R, Python and SPSS Application)

3

30

Quantitative Methods II


(10 hrs. lab on Excel, R, Python and SPSS Application)

3

30

Quantitative Methods III


(10 hrs. lab on Excel, R, Python and SPSS Application)

3

30

Human Resource Management I

3

30

Human Resource Management II

3

30

Business Law

3

30

Marketing Management I

3

30

Marketing Management II

3

30

Strategic Management

3

30

Operations Management I

3

30

Managerial Accounting

1.5

30

Business Communications

3

30

Business Statistic for Decision Making

0

30

Visual Basics Application

1.5

30

Sustainability and Business Ethics

0

30

Oral Communication

0

30

Written

Communication

0

30

Total Credit hrs.

18

18

18

54


PGDM PROGRAMME CURRICULUM – 2nd YEAR COURSE STRUCTURE


List of Compulsory Courses for 2nd Year (Term IV, V,VI)


1. Advanced Strategic Management

2. Project Management

3. International Business

4. Management Lessons from Ancient Indian Texts

5. Technology Innovation for Inclusion

6. Digital Economy and New Business Model (Facebook, Amazon, Apple, Netflix, Google and Sales Force)

PGDM IN MARKETING MANAGEMENT

PGDM IN 

FINANCIAL MANAGEMENT

PGDM IN

OPERATIONS MANAGEMENT

PGDM IN 

HUMAN RESOURCE MANAGEMENT

PGDM IN 

DATA ANALYTICS

Consumer Behavior

Security and Portfolio Management

Supply Chain Management

Managerial Competence and Career Development

Data Science I- Fundamentals of Data Science

Product and Brand Management

Financial Derivatives Management

Project Management

Organizational Change and Organizational Effectiveness

Data Science II- A Glimpse of Data Analytics

Sales and Distribution Management

Project Finance

Operations Strategy

Strategic Human Resource Management

Data Science III- Powering Data Science

Rural Marketing

Commercial Banking

Total Quality Management

Performance Management and Appraisal

Data Science IV- Machine Learning

Services Marketing

Audit and Taxation

Logistics and Distribution Management.

Leadership

Advanced Analytics and IOT using Amazon Web Services.

Digital Marketing

Wealth Management

Pricing and Revenue Management

HR Analytics

Econometrics

B2B Marketing

Private Equity & Venture Capital

Sustainable Operations Mgmt.

Employee Relations & Employment Laws

Marketing/ Financial / HR/ Operations Analytics

Customer Relationship Marketing

Fixed Income

Technology Management

Competency Mapping and Talent Management

Text Mining and Sentiment Analysis

Strategic Marketing

Mergers and Acquisition

Business Process Reengineering

Compensation Management and its legal aspect

AI & ML for Business

Retail Marketing

Global Operations Management

HR system design and Audit

PGDM IN GENERAL MARKETNG MANAGEMENT: To specialize in General Management a student has to choose 4+4+3 from any area across term IV.V and VI apart from 2 compulsory subjects.

* Students opting for PGDM in Data Analytics must have Science/ Engineering/ Statistics/Mathematics or Economics Background in UG Level.

* Minimum 10 students in a batch has to opt for 2nd year specialization to be offered.

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