Transform Your Career with IIT Kanpur Pioneering Masters Degree in Quantitative Finance and Risk Management
No GATE Score required | Support for placement and facilitation of incubation at Startup Incubation and Innovation Centre, IIT Kanpur | Earn Masters Degree without leaving your job | Top Faculty from Department of Management Sciences (DoMS)
Applications closed
Based on academic and professional background and test, interview where necessary. No GATE required.
Weekend-only Live interactive sessions coupled with self-paced learning.
Learn while you earn, with the flexibility to complete the program between 1 - 3 years.
Support for placement and facilitation of incubation at IIT Kanpur's Incubation Centre.
Become an IIT Kanpur alumni with access to all the alumni privileges.
Waiver of upto 60 credits for higher education (MTech/PhD) at IIT Kanpur.
Application
Selection
Admission
Class start – January 2024
* Selection test differs for every programme
The e-Masters in Quantitative Finance and Risk Management program at IIT Kanpur is designed to equip students with the practical skills necessary to improve risk management practices in organizations. The course places a strong emphasis on the application of quantitative finance and provides hands-on experience through up to four projects. This program is ideal for aspiring traders and finance professionals looking to make a noticeable impact in alternative investment fields.
By earning a Masters in Quantitative Finance, working professionals will have the foundation they need for a successful career in this field. The program provides a unique opportunity to gain hands-on experience and develop the skills necessary to succeed in a rapidly changing industry.
"I want to learn how financial decisions are made using quantitative research. I believe decisions have to be backed by numbers for accuracy and prudence. This e-Masters degree will help me develop the right skills in this direction."
"The program will help me upskill and update my knowledge as a Risk professional. In addition, it will enhance my domain knowledge and help me contribute to the risk management fraternity, financial organizations and the system at large."
Maximize Your Potential in the Financial Markets with IIT Kanpur's World-Class Masters in Quantitative Finance and Risk Management
FPM (Ph.D.), IIM Ahmedabad, Master of Business Economics, University of Delhi Bachelor of Technology, Electrical Engineering, IIT (BHU), Varanasi
Assistant Professor, Industrial Management and Engineering (IME), IIT Kanpur
Research Expertise: Corporate Finance, Payout Policy, Investments, Derivative Pricing
Ph.D., IIM Calcutta, BE (Mech), MVSR Engineering College, Osmania University
Head, Industrial Management and Engineering (IME), IIT Kanpur
Research Expertise: Head, Industrial Management and Engineering (IME), IIT Kanpur
Ph.D. (Accounting and Finance), Vinod Gupta School of Management, MBA (Finance), Indian Institute of Technology, Kharagpur Master's Degree (Applied Economics), Utkal University
Professor and Former Dean, Vinod Gupta School of Management, IIT Kharagpur
Research Expertise: Commodity Derivative and Financial Markets
Ph.D. (Carleton), MBA (AIT), MEM, Indian Institute of Technology (IIT), Bachelor of Technology, Indian Institute of Technology (IIT)
Vice-Dean (Research). Telfer Fellow in Global Finance. Telfer School of Management, University of Ottawa, Canada
Research Expertise: Entrepreneurial Finance, M&A, International Financial Management, and Advanced Corporate Finance Applications
Ph.D. (CSE), IIT Bombay B.Tech. (CSE), IIT Kanpur
Associate Professor, Computer Science & Engineering, IIT Kanpur
Research Expertise: Blockchain and AI and Machine Learning
Ph.D. (Finance), Department of Financial Studies, Delhi University Masters in Finance & Control (MFC), Department of Financial Studies, Delhi University, Delhi B.Tech Computer Engineering, IP University, Delhi
Assistant Professor, Shailesh J. Mehta School of Management, IIT Bombay, Mumbai
Research Expertise: Financial Derivatives, Investment Management, Market Microstructure, Banking
Ph.D. (Commerce), Department of Commerce, University of Madras M.Phil. (Commerce), Department of Commerce, University of Madras M. Com, Ethiraj College For Women, Chennai
Professor, Finance Department of Management Studies, IIT Madras
Research Expertise: Corporate Finance and Strategy, Financial Markets, Derivatives, Financial Time Series Modeling
PGDM, IIM Calcutta B.Tech. IIT Kharagpur
Amit Pathak, an IIT Kharagpur, and IIM Calcutta alumnus is a senior financial markets professional with more than 10 years of experience in front office roles across global investment banks and indexing companies providing Smart Beta, Risk Premia and ESG solutions.
PGDM, IIM Indore B.Tech., IIT Kanpur
Vipin Chaudhary, an IIT Kanpur, and IIM Indore alumnus has 15 years of Investment Banking experience in Derivatives Trading and Exotic Structuring, Data Analytics, Risk Management, Portfolio Valuations. His current area of interest is leveraging Machine Learning for solutions in risk, with a key focus on sustainability investment. He has been a visiting faculty with several IITs covering courses in Risk Management and Derivatives.
PGDM, IIM Lucknow B.Tech., IIT Kanpur
Prashant Gupta, an IIT Kanpur and IIM Lucknow alumnus, has worked in multiple sectors for more than a decade, has also spent more than a decade in the startup sector - in the capacity of a founder, as an advisor, and as an investor. Prashant has spent a lot of time in Investing and Trading in Indian Stock Markets. In the last 3 years, he has also been sharing knowledge on Trading & Investing with friends, family, and with institutes.
FPM (Ph.D.), IIM Ahmedabad Professional Qualification: Company Secretary (CS) B.A. Economics and Political Science, Hindu College, Delhi University
Dr Preet Deep Singh is a Gold Medalist Finance PhD from IIM Ahmedabad. His research on trust in financial markets through government intervention led him to government consulting. He led the Startup India Programme for Government of India before leading the One District One Product initiative. He is currently the Chief Analytics Officer at Invest India.
Maximize Your Potential in the Financial Markets with IIT Kanpur's World-Class Masters in Quantitative Finance and Risk Management
Module
e-Masters in Quantitative Finance and Risk Management has modules that are divided into Core (C) and Projects (P). The Programme has 10C+2P structureFoundations of Economics and Finance
Introduction to Derivative Contracts
Quantitative Methods in R and Python
Security Analysis and Portfolio Management
ML in Financial Modeling
Treasury and Credit Risk Management
Advanced Derivative Contracts and Pricing
Blockchain Applications in Finance
Technical Analysis in Finance
Advanced Financial Modeling
Online LIVE and self-paced sessions are delivered through AI-powered iPearl.ai as per the faculty availability
Apply learnings through projects while working in teams and establish a peer network
Final module-level exams will be conducted online
Opportunity to meet experts and experience the IITK campus during campus visits
Application fee ₹1500 (to be paid during application submission)
Fee structure for candidates opting to complete the program in 1 year.
| Details | Amount |
|---|---|
Registration Fee To be paid within 1 week of selection | ₹ 40,000 |
Admission Fee To be paid to complete enrollment | ₹ 1,60,000 |
Module Fee To be paid at the beginning of every quarter based on no. of modules selected (Total 12 Modules) | ₹ 5,40,000 ₹45,000 per module |
Quarter Fee* To be paid at the beginning of every quarter | ₹60,000 ₹15,000 per quarter |
| Total Fee | ₹ 8,00,000 |
*For every additional quarter, fees of Rs 15,000 will be applicable. For Example
The program curriculum spans 10 Core Modules and 2 Projects.
Module 1: Foundations of Economics and Finance
Develop a firm theoretical understanding of economic and finance concepts, their significance and their application in equity and derivatives markets.
Module 2: Introduction to Derivative Contracts
Gain an in-depth insight into the pricing and valuation of derivative contracts and the different commodities and financial instruments – Forward, Futures, and Options.
Module 3: Quantitative Methods in R and Python
Learn to analyze data using different quantitative methods – Linear Regression, Time Series Analysis, Panel Data Modelling, Limited Dependent Variable Model, and Simulation Methods. In addition, learn about R and Python concepts and their application in implementing financial models.
Module 4: Security Analysis and Portfolio Management
Understand the concept of Portfolio Management and Asset Pricing Models. Learn about formulating investment strategies, including valuation of equity and fixed income securities. In addition, know about Security Analysis and Valuation, assessing return anomalies to timely boost market efficiency.
Module 5: ML in Financial Modeling
Understand the big data problems in finance. Learn about Machine Learning (ML) and the different models used for applying ML in quantitative finance. Also, get introduced to ML applications in risk management.
Module 6: Treasury and Credit Risk Management
Identify different types of risks faced by firms. Learn about the advanced treatments of varying risk management practices and credit risk in derivatives products.
Module 7: Advanced Derivative Contracts and Pricing
Gain a detailed understanding of derivatives contracts with a balanced exposure to futures and options. Besides, learning about the valuations of forwards and futures from the perspectives of price discovery and risk management.
Module 8: Blockchain Applications in Finance
An introductory module that provides an overview of blockchain technology and its applications. Supported by illustrations and use-cases for effective learnings.
Module 9: Technical Analysis in Finance
Learn about various methods of detecting and identifying the trends and develop trading strategies.
Module 10: Advanced Financial Modeling
Get an overview of financial modeling in equity and derivatives markets. Explore the tools and techniques required for analyzing the financial data of different frequencies.
A tentative schedule will be shared closer to the program start date.
Established in 1959 by the Government of India, Indian Institute of Technology Kanpur (IIT Kanpur) is a globally acclaimed university for world-class education and research in science, engineering, management and humanities. We aim to provide leadership in technological innovation for the growth of India.
The e-Masters Program by IIT Kanpur will be delivered on iPearl.ai, a State-of-the-Art digital learning platform powered by TalentSprint. iPearl.ai, highly rated for its user experience, is a direct-to-device platform that works seamlessly on any internet-connected device and provides a single sign-on experience for all your learning needs, including recorded videos, reading material, live interactive sessions, assignments, quizzes, discussion forums, virtual lounges and more.