Shaheed Sukhdev College of Business Studies
University of Delhi
Short-Duration
Certificate Course Certificate Programme in Applied FinTech & Artificial Intelligence (AFAI)
Build • Analyse • Automate • Innovate
The convergence of finance, Artificial Intelligence, and digital public infrastructure is transforming financial services worldwide, and India sits at the centre of this shift. In May 2026, the Unified Payments Interface (UPI) processed a record 23.2 billion transactions worth approximately ₹29.9 lakh crore in a single month (NPCI), and UPI now accounts for roughly 85% of India’s retail digital payments. India represents close to half of global real-time payment volumes, and the IMF has recognised UPI as the world’s largest real-time payment system by transaction volume. India also ranks third globally in fintech market activity and funding (Global Fintech Index).
As a global FinTech leader, India requires future-ready professionals with practical expertise in digital finance, AI applications, data analytics, and technology-enabled financial innovation. Although students possess strong theoretical foundations in finance and management, a substantial gap persists between academic curricula and the rapidly evolving, AI-era skill requirements of the financial services industry. This programme is designed to close that gap.
Vision:
To develop future-ready finance professionals capable of leveraging Artificial Intelligence and emerging financial technologies to create innovative, ethical, and sustainable financial solutions.
Mission:
• To provide experiential learning in FinTech and AI.
• To bridge the gap between academic learning and industry expectations.
• To promote innovation and entrepreneurship.
• To develop globally competitive financial professionals.
Objectives:
The programme seeks to:
• Develop a comprehensive understanding of the contemporary FinTech ecosystem.
• Equip learners with practical knowledge of digital financial technologies.
• Introduce AI applications — discriminative, generative and agentic — in financial services.
• Develop analytical and problem-solving skills using modern analytics and visualisation tools.
• Familiarise participants with digital payments and banking technologies.
• Enable learners to understand blockchain, digital assets and tokenisation.
• Promote responsible AI and ethical financial innovation.
• Encourage FinTech entrepreneurship and develop industry-ready professionals.
Career Opportunities:
Participants can pursue roles across: digital banking; payments & transaction banking; FinTech product & business analysis; wealth management & WealthTech; credit & risk analytics; digital lending; InsurTech; financial data analytics; RegTech & compliance; product management; AI-enabled financial services; and FinTech entrepreneurship.
Programme Highlights:
• Industry-oriented curriculum with hands-on practical sessions and live case studies.
• AI-enabled finance applications, including a generative & agentic AI lab.
• Industry experts as guest faculty; financial analytics laboratories.
• Capstone project culminating in a Demo Day before an industry jury.
• Incubation / start-up mentoring at SIIF; internship assistance.
• Portfolio development and certificate upon successful completion.
Target Participants, Eligibility & Admission:
Target participants: Undergraduate & postgraduate students (any discipline), research scholars, young professionals, and working executives.
Eligibility: Open to the above categories. No prior AI or programming knowledge is required; basic familiarity with Excel and general awareness of financial services are recommended. Participants must bring their own laptop for classes and practice.
Admission process: Online application with a brief statement of purpose. Seats are offered on a firstcome basis subject to screening; if applications exceed capacity, selection will be based on the statement of purpose and profile diversity (balancing finance-background and technology-background learners).
Intake: Target batch of 40 participants (minimum 25 to commence a batch).
Resource Persons:
Sessions will be delivered by academicians, industry professionals, FinTech practitioners, promoters and venture capitalists, and representatives of regulatory and professional bodies.
Programme Governance & Quality Assurance:
• Course Coordinator: Prof. Kumar Bijoy, responsible for academic delivery, scheduling and coordination.
• Programme Advisory Committee: Two to three SSCBS faculty members and at least two industry members, advising on curriculum currency and industry linkages.
• Feedback mechanism: Structured participant feedback at mid-course and end-course; batchwise review of results and feedback.
• Curriculum refresh: Given the pace of change in AI, Module 4 and the tools list are reviewed and refreshed before every batch; a batch report is submitted to the college after each cycle.
Fee Structure & Financial Plan Proposed fee (per participant):
Category Fee (₹) Students & Alumni of SSCBS 22,000 Students & research scholars (Any College/University) 25,000 Working professionals/executives Taxes will be additional, if applicable, as per prevailing rules. 30,000
Contact Us for any query:
Prof. Kumar Bijoy
+91-9810452266
Registration Link:
For more details refer here
