Executive-Friendly Program | High Impact Format

Key Highlights of IIT Kanpur e-Masters Degree

  • SelectionBased on academic and professional background and test, interview where necessary. No GATE required.
  • High Impact Format Weekend-only Live interactive sessions coupled with self-paced learning.
  • Executive Friendly Schedule Learn while you earn, with the flexibility to complete the program between 1 - 3 years.
  • Career Advancement and Networking Support for placement and facilitation of incubation at IIT Kanpur's Incubation Centre.
  • IIT Kanpur Alumni Status Become an IIT Kanpur alumni with access to all the alumni privileges.
  • Credits Transfer Waiver of upto 60 credits for higher education (MTech/PhD) at IIT Kanpur.

Admission Process

  • Application
    Register with Mobile Number
    Submit Details
    Remit Application Fee
    Upload Documents
  • Selection
    Application Review
    Selection Test*
    Interview
  • Admission

Class Start - July 2024

* Selection test differs for every programme

e-Masters in Financial Technology &
Management Overview

The e-Masters in Financial Technology & Management program is an innovative and dynamic program that combines the latest advances in financial technology with traditional financial management principles. This masters degree in Fintech offers working professionals the unique opportunity to study the impact of technology on finance and the financial services industry, as well as the development and management of technology-driven financial products and services. The program covers a wide range of topics, including financial innovation, digital transformation, risk management, and data analytics. Through a combination of online coursework, case studies, and practical projects, students will gain hands-on experience in the development and management of technology-driven financial products and services.

The Masters in Financial Technology & Management program is designed for individuals who are seeking to further their careers in the financial services industry, technology startups, or consulting firms. Offered by the Department of Management Sciences (DoMS), formerly known as Department of Industrial and Management Engineering (IME), The program provides a comprehensive education in financial technology and management, preparing professionals for leadership roles in the industry. The faculty consists of leading experts in the field of financial technology and management, offering the opportunity to learn from experienced professionals with a wealth of knowledge and practical experience. The program is flexible and allows working professionals to study at their own pace, making it an ideal choice for those who are looking to balance their education with their professional and personal commitments.

In conclusion, the e-Masters in Financial Technology & Management program provides a unique and comprehensive education in the rapidly evolving field of financial technology and management. Graduates of this program will be well-prepared to succeed in a fast-paced, technology-driven industry and will have the skills and knowledge necessary to pursue leadership roles in the industry.


Graduation Ceremony at IIT Kanpur Campus

Outcomes

  • Build capabilities to lead FinTech initiatives in your organization or embark on an entrepreneurial path and launch a FinTech firm
  • Get an eMasters Degree
    from IIT Kanpur
  • Become a part of IIT Kanpur's
    alumni network
  • Learn from a leading research
    faculty group
  • Receive mentorship and career support from
    the IIT Kanpur placement cell
  • Incubation support for promising
    startup initiatives
  • Opportunity to forge a meaningful network
    with diverse professionals

Why do participants choose the eMasters degree?

  • "eMasters will give me the much-needed knowledge of FinTech, data analytics, and strategic decision-making. This could help me work towards my aspirations of becoming a CFO for an FMCG Company."
    Syed, Associate Manager & ERP Consultant at Accenture with 10 years of experience
  • "I have been associated with product development in Blockchain Technology for 4 years. I lead Technology Business Incubator at a University, where we help students build business ideas using technology. As I was inclined to learn Fintech, I found eMasters relevant to my goals."
    Manish, Associate Director, Technology Business Incubator at a Private University, with 12 years of experience in academics

Faculty

Meet our world-class faculty, leaders in FinTech and finance, dedicated to shaping the future of finance through cutting-edge research and innovative teaching. Join us and experience a transformative education at IIT Kanpur.

  • Suman Saurabh
    Ph.D., Finance & Accounting, IIM Ahmedabad
    Assistant Professor, By Department of Management Sciences (DoMS)


    Research Expertise: Corporate Finance, Asset Pricing, Behavioral Finance, Mergers & Acquisitions, Financial Derivatives
  • Vipin B
    Ph.D., Operations, IIT Madras
    Assistant Professor, By Department of Management Sciences (DoMS)


    Research Expertise: Decision Theory, Behavioral Operations Management, Supply Chain Contracts, Optimization in Operations Management, Sustainable Operations, Healthcare Operations
  • Amey Karkare
    Ph.D., Computer Science and Engineering, IIT Bombay
    Associate Professor, Department of Computer Science and Engineering


    Research Expertise: Compilers, Data Flow Analysis, Heap Analysis
  • Arnab Bhattacharya
    Ph.D., Computer Science, Department of Computer Science - University of California, Santa Barbara
    Associate Professor, Department of Computer Science and Engineering


    Research Expertise: Databases, Data Mining, Bioinformatics
  • Suvendu Samanta
    Ph.D., Electrical and Computer Engineering, Concordia University, Montreal, Canada
    Assistant Professor, Department of Electrical Engineering


    Research Expertise: Power Electronics, Electric Vehicles, Wireless Power Transfer, Resonant Converters with WBG Devices
  • Deepu Philip
    Ph.D., Montana State University, MSU Bozeman, USA
    Associate Professor, By Department of Management Sciences (DoMS)


    Research Expertise: Production and Operations Management, Systems Engineering and Simulation, Local Search and Optimization
  • Sandeep K. Shukla
    Ph.D., State University of New York at Albany
    Professor, Department of Computer Science and Engineering


    Research Expertise: Cyber Security, Embedded Systems, Critical Infrastructures, Formal Methods, Embedded Software and Hardware Design, System Level Languages, Smart Grid
  • Manindra Agrawal
    Ph.D., Computer Science, IIT Kanpur
    Professor, Department of Computer Science and Engineering


    Research Expertise: Computational Complexity Theory, Security, Theoretical Computer Science and Algorithms
  • Sanjay Basu
    Ph.D., Economics, IIM Calcutta
    Professor, Finance, NIBM


    Research Expertise: Game Theory ,Applied Contract Theory ,Asset Liability Management ,Market Risk Management ,Fixed income Portfolio Management
  • Abhinava Tripathi
    Ph.D., Finance and Accounting, IIM Lucknow
    Assistant Professor, By Department of Management Sciences (DoMS)


    Research Expertise: Financial Markets, Market microstructure, Liquidity, Market Efficiency, Banking, Corporate Banking, Credit risk management in Banking, Project Finance, Investment Management, Derivatives, Security Analysis and Portfolio Management, Corporate Finance, Financial Management, Corporate Valuation and Restructuring, R programming: Quantitative applications in Finance with R, Accounting, Financial Accounting, Management Accounting
  • Ridhima Agrawal
    Ph.D., Finance, IIT Kanpur
    Department of IME


    Research Expertise:SEP Stratification and Propensity of Funding (A Study of Entrepreneurial Ventures in India)

e-Masters in Fintech and Management Curriculum

Our dynamic curriculum, designed for the Masters in Fintech program at IIT Kanpur, offers a unique blend of finance, technology and management to equip you with the skills to drive digital transformation in the financial industry.

Modules

eMasters in Financial Technology & Management will be offered as a 60-credit program delivered over 12 modules of 5 credits each. The modules are categorized into Compulsory (C) and Projects (P) and participants need to study the compulsory courses and undertake projects, following the 10 C+2 P structure.

  • Banks and Financial Institutions
  • Capital Markets and Financial Products
  • Financial Big Data Analytics
  • Investment Banking
  • AI, Machine Learning, and Deep Learning
  • Blockchain and Distributed Ledger Technologies
  • IT Platforms, Cloud Computing, and loT
  • Cybersecurity
  • Open Banking in a Mobile-First, Cloud-First World
  • Extreme Automation & Programming FinTech Applications
  • Project - 1 & Project - 2

Detailed Curriculum

Immersive Learning Format

  • Live Interactive Sessions & Guest Lectures
  • Case study-based Learning
  • Projects
  • Periodic Assessments
  • Online Examination
  • Campus Visit
  • Online LIVE and self-paced sessions are delivered
    through AI-powered iPearl.ai
  • Live interaction 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

Eligibility

  • Bachelor's degree (3/4 years program) in engineering, science, economics, Computer Applications or equivalent with at least 55% marks or 5.5/10 CPI
    (Or)
    Master’s degree in engineering, science, economics, commerce, management, computer applications with at least 55% marks or 5.5/10 CPI
  • 2 years of work experience (an applicant need not be currently employed to be eligible). The experience component can be waived for suitable candidates with significant domain expertise acquired in their UG/PG education

e-Masters in Financial Technology &
Management: Fees

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.

About IIT Kanpur

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.

  • Ranked 1st in Innovation, 4th in Engineering and 5th in Overall Category by NIRF 2023
  • Built on world-class academic research culture
  • Offers various undergraduate, post-graduate, integrated, and research programs in the field of engineering, science, management, and design
IIT Kanpur Online Masters Degree Courses

State-of-the-Art Digital Learning Platform

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.

Frequently Asked Questions

eMasters in Financial Technology & Management will be offered as a 60-credit program delivered over 12 modules of 5 credits each. The modules are categorised into Compulsory (C) and Projects (P) and participants need to study the compulsory courses and undertake projects, following the 10 C+2 P structure.

The Compulsory Modules include

  • Banks and Financial Institutions:
    Through this module, you will get an insight into how the Banking and Financial Institutions operate and their role in enabling global and domestic economies. It provides a broad coverage on the evolution and role of financial institutions and the regulatory system governing them, an overview of fiscal policy, foreign trade and a glimpse of the financial institutions in India.
  • Capital Markets and Financial Products:
    The module will provide a complete picture of the capital and financial market structure and various products offered by these markets. Some of the other topics covered in this module include the structure of the equity, debt, forex, commodities, F&O markets, Indian capital markets, mutual funds, insurance, forex and pension funds.
  • Financial Big Data Analytics:
    The module puts a spotlight on data analytics. It also covers intricacies of descriptive, predictive and prescriptive analytics in solving business problems. In addition, coverage is also provided on how text analytics and big data analytics are used in solving banking problems.
  • Investment Banking:
    This course will emphasise on the practical aspects of an investment banking and the finance theory required for the same. The course will focus on Analytical Skills, Financial Analysis and Valuation methods. In addition, the equity, debt and advisory aspects of capital markets as required for an Investment Banking domain are covered in the module.
  • AI, Machine Learning, and Deep Learning:
    The module lays emphasis on the intricacies of ML and DL models used in solving finance-based problems. You will also get to deepen your understanding of NLP, reinforcement learning concepts through case studies and demonstrations. For instance, chatbot development, cyber fraud detection including phishing/spam/malware detection, credit card fraud detection, financial forecasting using ML, and sentiment analysis.
  • Blockchain and Distributed Ledger Technologies:
    Blockchain adoption has paved the way for more transparency, efficiency and resilience to fraud. This module will highlight the mechanisms underlying this transformative technology - their origin, applications and key characteristics to differentiate between 'public' and 'private' distributed ledger technologies. In addition, the module will focus on the roles and risks associated with cryptocurrencies.
  • IT Platforms, Cloud Computing, and loT:
    This is an introductory module that spotlights cloud computing, IoT architectures, virtualization and its role in cloud computing. It also features delivery and deployment models of cloud computing and various private and public cloud platforms. You will explore how to determine the right sensors and communication protocols to use in a particular loT system, understand the data generated from an loT device and migrated to the cloud and the security features required to protect data stored in the cloud.
  • Cyber Security:
    Build an adequate understanding of various cyber-attack tactics, techniques, and procedures, along with hands-on training in different cyber security tools. In addition, you will also build capabilities to identify, detect, analyze and prevent popular cyber-attacks in your organization. Topics covered include cryptography, vulnerability analysis, penetration testing, VAPT framework, organizational security, network security tools - Firewalls, VPN, Intrusion detection/prevention, WAF, Packet capturing using Wireshark, NAC, and NBAD.
  • Open Banking in a Mobile-First, Cloud-First World:
    This module will introduce you to platforms and tools driving the neo-banking ecosystem alongside the operational aspects of such platforms. Topics covered include Open APIs, mobile banking, and recent AR/VR/MR-based innovations in FinTech.
  • Extreme Automation & Programming FinTech Applications:
    The module covers various aspects of RPA / DPA and its use cases, eg customer onboarding, KYC Compliance, Report Generation, AML and doubtful transaction identification etc. Exposure will be given to popular RPA / DPA platform(s) such as UIPath, Pega, Automation Anywhere and Blue Prism. Further, the module will focus on how RPA and DPA assist banks in automating repetitive tasks, leveraging the power of bots and thereby increasing productivity and engaging customers in real-time.