Executive-Friendly Program | High Impact Format |

IIT Kanpur eMasters Degree Program

eMasters in Financial Technology & Management

Lead the FinTech revolution

  • No GATE Score
    required
  • Placement Support and
    Alumni Benefits from IIT Kanpur
  • Earn Masters Degree
    without leaving your job
  • Top Faculty from Industrial and
    Management Engineering Dept.

Apply Now

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IITK

eMasters Highlights

  • 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 to 3 years.
  • Career Advancement and Networking Access to IIT Kanpur placement cell and 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

About eMasters in Financial Technology & Management

eMasters in Financial Technology & Management imparts both theoretical and practical capabilities enabling aspirants to navigate the financial revolution, make strategic decisions and drive the firm's growth. Besides mentorship from the esteemed IIT Kanpur faculty, the aspirants will have the opportunity to interact with industry experts from RBI and/or its associate institutions and work on solving real-world FinTech challenges.

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

Faculty

Learn from IIT Kanpur’s expert faculty group drawn from the Department of Industrial and Management Engineering, Department of Computer Science and Engineering, Department of Mathematics, Department of Electrical Engineering and Department of Economic Science, who are at the forefront of cutting-edge research practices.

  • Suman Saurabh
    Ph.D., Finance & Accounting, IIM Ahmedabad
    Assistant Professor, Department of Industrial and Management Engineering


    Research Expertise: Corporate Finance, Asset Pricing, Behavioral Finance, Mergers & Acquisitions, Financial Derivatives
  • Vipin B
    Ph.D., Operations, IIT Madras
    Assistant Professor, Department of Industrial and Management Engineering


    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
  • Wasim Ahmad
    Ph.D., Delhi University
    Associate Professor, Department of Economic Sciences


    Research Expertise: Macroeconomics, Financial Economics, Applied Econometrics, Emerging Market Finance, Risk Spillover Analysis, Clean Energy Finance
  • 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, Department of Industrial & Management Engineering


    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

Curriculum

A well-researched real-world curriculum by IIT Kanpur’s subject matter experts that fosters hands-on learning and helps you master the desired capabilities by combining deep formal rigour and an intensely practical approach.

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

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 across major cities in India
  • 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

Program Fee

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.

Fee paid are non-refundable and non-transferable

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:
    Here you will gain a familiarity with how disruptions are taking place in capital markets and investment banking. In particular, it will introduce you to how machine learning can be used in algorithmic trading, how Robo-advisors can help improve portfolio performance, lower costs, and improve reporting and compliance for both retail and institutional investors.
  • 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.

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 4th by NIRF in the Engineering category, 2022
  • 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

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.