eMasters in Quantitative Finance and Risk Management
The eMasters in Quantitative Finance and Risk Management from IIT Kanpur's Department of Management Sciences is designed for working professionals seeking to master quantitative approaches to finance and risk management. This executive-friendly program combines theoretical knowledge with practical applications through hands-on projects. Students gain expertise in financial modeling, derivatives, blockchain applications, and machine learning in finance while maintaining their careers. The program features weekend-only live sessions and offers flexibility to complete within 1-3 years.
Instructors:
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Course Start Date:
Starting Soon
Application Deadline:
To be announced
Duration:
1-3 Years
₹ 8,00,000
Overview
Apply learnings through projects while working in teams and establish a peer network. Get access to IIT Kanpur's world-class faculty and industry experts. Focus on practical applications with up to four hands-on projects.
Why E-Masters?
Program emphasizes practical skills necessary to improve risk management practices in organizations. Strong focus on quantitative finance applications through hands-on projects.
What does this course have to offer?
Key Highlights
Real-world application focus
Weekend-only live sessions
IIT Kanpur Alumni Status
Incubation support available
No GATE required
Flexible 1-3 year completion
Who is this programme for?
Working professionals with 2+ years experience
Aspiring traders and finance professionals
Risk management professionals
Quantitative analysts
Financial technology professionals
Minimum Eligibility
Graduate in any discipline from recognized university with minimum "satisfactory" or Grade C equivalent
One year work experience required after degree completion
Who is the programme for?
The program follows a comprehensive admission process including application review, selection test, and interview where necessary. No GATE score required. Selected candidates must complete registration and enrollment process.
Selection process
How to apply?
Curriculum
The curriculum consists of 10 core modules and 2 projects covering foundations of economics, derivatives, quantitative methods, portfolio management, machine learning, risk management, blockchain, and technical analysis.
There are 12 semesters in this course
The program delivers a comprehensive curriculum through 12 modules, including 10 core subjects and 2 projects. Topics range from foundational economics and finance to advanced concepts in derivatives, machine learning, and blockchain applications. Each module combines theoretical knowledge with practical applications.
Module 1
Module 2
Module 3
Module 4
Module 5
Module 6
Module 7
Module 8
Module 9
Module 10
Project 1
Project 2
Programme Length
1-3 years flexible duration with weekend-only live interactive sessions
Whom you will learn from?
Learn from top industry experts who bring real-world experience and deep knowledge to every lesson. The instructors are dedicated to help you achieve your goals with practical insights and hands-on guidance.
Instructors
Assistant Professor in the Department of Management Sciences
Dr. Parvati Neelakantan is an Assistant Professor in the Department of Management Sciences at IIT Kanpur. She holds a Ph.D. from the UCD Michael Smurfit Graduate Business School, Dublin. Her research expertise includes Financial Econometrics and Machine Learning, focusing on the application of statistical methods and machine learning techniques to financial data analysis and econometric modeling.
Assistant Professor, Industrial Management and Engineering (DoMS), IIT Kanpur
Suman Saurabh is an Assistant Professor in Industrial Management and Engineering (DoMS) at IIT Kanpur. He holds an FPM (Ph.D.) from IIM Ahmedabad, a Master of Business Economics from the University of Delhi, and a B.Tech in Electrical Engineering from IIT (BHU), Varanasi. His research expertise includes corporate finance, payout policy, investments, and derivative pricing.
Tuition Fee
The total program fee is ₹8,00,000 which includes registration fee, admission fee, module fee, and quarterly fees. Additional quarters beyond the standard duration incur extra charges of ₹15,000 per quarter. Education loans and EMI options available.
Fee Structure
Payment options
Financing options
Financial Aid
Learning Experience
The program combines live interactive sessions on weekends with self-paced learning through the iPearl.ai platform. Includes case studies, projects, and periodic assessments.
University Experience
Students get access to IIT Kanpur's world-class facilities and faculty. The program includes opportunities for campus visits and networking with industry experts.
Testimonials
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
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About the University
Established in 1959, IIT Kanpur is a premier public institute of technology spread across 1037 acres in Kanpur, Uttar Pradesh. Originally started in a borrowed building of Harcourt Butler Technological Institute, it was developed under the Kanpur Indo-American Program (KIAP). The institute is renowned for pioneering computer science education in India and maintains excellence in education, research, and technological innovation.
#263
QS world ranking
#5
NIRF overall rank
#4
NIRF engineering rank
Affiliation & Recognition
UGC
AICTE
NAAC
Government of India
Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
Instructors
Assistant Professor in the Department of Management Sciences
Dr. Parvati Neelakantan is an Assistant Professor in the Department of Management Sciences at IIT Kanpur. She holds a Ph.D. from the UCD Michael Smurfit Graduate Business School, Dublin. Her research expertise includes Financial Econometrics and Machine Learning, focusing on the application of statistical methods and machine learning techniques to financial data analysis and econometric modeling.
Assistant Professor, Industrial Management and Engineering (DoMS), IIT Kanpur
Suman Saurabh is an Assistant Professor in Industrial Management and Engineering (DoMS) at IIT Kanpur. He holds an FPM (Ph.D.) from IIM Ahmedabad, a Master of Business Economics from the University of Delhi, and a B.Tech in Electrical Engineering from IIT (BHU), Varanasi. His research expertise includes corporate finance, payout policy, investments, and derivative pricing.
Career services
IIT Kanpur's Career Development Office provides comprehensive placement support to students through industry partnerships and recruitment drives. The institute's strong ties with leading companies across sectors ensure excellent career opportunities for graduates. Students benefit from career counseling, interview preparation, and access to a vast alumni network. The placement process is highly structured, with top companies from technology, consulting, and core engineering sectors regularly participating in campus recruitments.
90%
Placement rate
100+
Industry partnerships
Top Recruiters
Course Start Date:
Starting Soon
Application Deadline:
To be announced
Duration:
1-3 Years
₹ 8,00,000
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.