Post-Graduate Diploma in Management | MSE Business School

 According to an estimate, AI will create close to 2.3 million jobs by the year 2020 in ML & Data Science. There is a need to train more professionals who can adapt and drive these technology solutions with a strong economic and analytical foundation.

As per the recent AICTE guidelines students are advised to make payment of fees after the lockdown is lifted. 


Admissions are now open.

LAST DATE :  February 15, 2022

Please download the brochure for more information.

Offline application for admission to PGDM 2022-24


Application Fee:

Rs. 1500, payable through NEFT.

NEFT Details
Bank Name & Branch: Indian Overseas Bank, Gandhi
Nagar, Chennai.
Bank Account Number: 163501000002345
IFSC Code: IOBA0001635
MICR Code: 600020120


For queries, contact:

Dr. Gangadharan, Administrative Officer, +98406-86927

Ms. Indira, PGDM Manager, +91-44-2230-0304


MSE conceived of the PGDM programme as a way to fill this need gap. The PGDM programme at MSE is unique as we follow an analytical approach, built on the economics and finance legacy of MSE. Our curriculum creates professionals well trained in economic/ financial theories, programming, econometric software, quantitative techniques and tools and ready to deploy their skills in the real world with a well developed sense of social responsibility.


  • Research & Business Analytics – The specialization in Research and Business Analytics offers electives such as machine learning, artificial intelligence, big data, and domain specific analytics courses such as medical analytics and financial analytics, in order to cater to industry demand in such fast growing areas.
  • Finance – The specialization in Finance includes in-depth theoretical and empirical coursework in asset pricing and corporate finance. Electives offered include stochastic calculus, derivatives pricing, computational techniques in finance and market microstructures.

MSE is perhaps the only post-graduate institution in the country to offer a PGDM in financial engineering with such a rigorous curriculum. The coursework is quantitative and hands-on with exposure to data science tools as well as industry engagement via live projects, seminars and internships.



MSE alumni through the years have been placed well and proved themselves conduit to the fields including analytics, research, policymaking, banks, academic institutions and NGOs. I welcome you to join this prestigious group of students. – Director, MSE


The Research and Analytics cell of MSE PGDM students known as Null Space showcase their fascination for the world of Data Analytics and Financial Engineering by compiling project reports, assignments and lecture notes on interesting topics. We welcome you to see the cool stuff under Nullspace by clicking the link below:


Other links:

Admission Policy

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