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Course Structure

 

Information Technology has been a major contributor to the automation and streamlining of business processes and is the fastest advancing technology in the new corporate era. Today it is influencing almost all the functionalities in an organization irrespective of the sector. The PGDITM course has thus been designed keeping in mind the ever-increasing industry needs and demands, to provide "techno-managers"  with dual skills of IT strategists and implementers.


The course aims at leveraging applied IT skills in various industry sectors like Telecommunications, Retail and Logistics, FMCG, Banking and Insurance, Healthcare, Automobiles, Consulting and in specific areas of application like Finance, Operations, Supply Chain Management, Marketing and HR.


The course details are:

 

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Module 1

Business statistics

Business Economics

Communication Skills

Principles of Organization and Management

Software Engineering Practices

Computer Organization and Architecture

Data Structures, Algorithm and Programming

Module 2

Marketing Management

Accounting and Finance

Computer Networks

Operations Research

Operation Planning and Control

Materials Management

Principles of Operating Systems

Programming Lab

Module 3

MIS & DBMS

e-Commerce

Enterprise Resource Planning

Cost Accounting and Control

Human Rersource Management

Network Management

Database Lab

Elective I

Module 4

Summer Internship (2 Months)

Module 5

Data Warehousing and Data Mining

Supply Chain Management

Software Project Management

Software Quality Management

IT Strategies for Enterprises

Simulation Modelling and Analysis

ERP Lab

Elective II

Module 6

Marketing Strategies for IT Products

IT for Business: eCRM and KM

Enterprise Application Integration

Data Mining Techniques and Applications

Business and Managerial Ethics

E-business Lab

Web Application Development

Elective III

Module 7

Final Internship (4 Months)

Electives Offered
Consumer Behaviour and Market Research
Business Process Reengineering
Industrial Application of Neural Networks
Investment Analysis and Portfolio Management
Decision Support Systems and Expert Systems
Financial Engineering and Managerial Perspectives
Financial Intermediaries and Capital Markets
Advanced Supply Chain Management

 

 
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