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:

Parvati Neelakantan

Suman Saurabh

English

Course Start Date:
To be announced
Applications Deadline:
To be announced
Duration:
1-3 Years

₹ 8,00,000

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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

Bachelor's Degree (3/4 years program) or Masters Degree in Engineering/Science/Economics/MBA/CA with 55% marks or 5.5/10 CPI
Minimum 2 years full-time work experience required
Candidates with relevant experience preferred

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.

Important Dates

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

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.

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

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:
To be announced
Applications Deadline:
To be announced
Duration:
1-3 Years

₹ 8,00,000

Add to compare

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

Parvati Neelakantan

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.

Suman Saurabh

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.

Testimonials

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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

Parvati Neelakantan

Assistant Professor in the Department of Management Sciences

Suman Saurabh

Assistant Professor, Industrial Management and Engineering (DoMS), IIT Kanpur

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.

How will the modules be sequenced in the program?

What is the tentative time-table?