Class Start - July 2024
* Selection test differs for every programme
The e-Masters in Quantitative Finance and Risk Management program at IIT Kanpur is from the Department of Management Sciences (DoMS), formerly known as Department of Industrial and Management Engineering (IME). It 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.
Maximize Your Potential in the Financial Markets with IIT Kanpur's World-Class Masters in Quantitative Finance and Risk Management
Modules
eMasters in Quantitative Finance and Risk Management has modules that are divided into Core (C) and Projects (P). The Programme has 10C+2P structure
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
Candidates opting to complete the program in 5 quarters need to pay an additional fee of ₹15,000
Candidates opting to complete the program in 11 quarters need to pay an additional fee of ₹1,05,000
All other fees remain the same.
Fees paid are non-refundable(after a certain time period) and non-transferable.
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.
IIT Kanpur to upskill workforce in Quantitative Finance and Risk Management with eMasters degree
Over the years, the finance industry has undergone a major paradigm shift from traditional queue banking to digital swipes in the stock market....
IIT Kanpur to upskill workforce in Quantitative Finance and Risk Management with eMasters degree
Over the years, the finance industry has undergone a major paradigm shift from traditional queue banking to digital swipes in the stock market...
IIT Kanpur to upskill workforce in Quantitative Finance and Risk Management with eMasters degree
Over the years, the finance industry has undergone a major paradigm shift from traditional queue banking to digital swipes in the stock market...
IIT Kanpur to upskill workforce in Quantitative Finance and Risk Management with eMasters degree
Over the years, the finance industry has undergone a major paradigm shift from traditional queue banking to digital swipes in the stock market...
The eMasters 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.
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.
Projects
Project -1
Project -2
A tentative schedule will be shared closer to the program start date.