IIT Roorkee FinTech with AI: PG Certificate Programme, Modules, Program Structure

IIT Roorkee FinTech with AI course is designed for individuals looking to gain an in-depth understanding of modern financial technologies and how they are being revolutionized by AI. It provides a unique blend of financial concepts, AI modelling, and technological implementation, positioning participants for high-growth roles in the FinTech sector. This is one of the premier IIT Roorkee fintech courses that is aimed at creating future-ready financial innovators.

The rapid integration of Artificial Intelligence (AI) and Machine Learning (ML) is transforming the global financial landscape. To address the demand for professionals skilled in this convergence of technology and finance, the Indian Institute of Technology (IIT) Roorkee offers the Post-Graduate Certificate Programme in AI-Driven FinTech (PGCPF).

IIT Roorkee FinTech with AI

IIT Roorkee FinTech with AI Programme Highlights 

The following table summarises the major features of the Post-Graduate Certificate Programme in AI-Driven FinTech (PGCPF):

IIT Roorkee FinTech with AI

IIT Roorkee FinTech with AI Eligibility and Admission Process

The IIT Roorkee FinTech with AI programme is curated to attract serious learners and working professionals aiming for career growth in the FinTech domain.

1. Eligibility Criteria

To enroll in the PGCPF, candidates must meet the following requirements:

• Education: A Bachelor's degree from a recognized institution in any discipline.

• Background: The course is highly suitable for professionals or graduates from backgrounds such as Finance, Technology, Analytics, or Business.

2. Admission Process

The admission process for the IIT Roorkee PGCPF is conducted entirely online:

1. Online Application: Submit the online application form with all academic and professional details.

2. Document Submission: Upload all required documents for verification.

3. Eligibility Check: The admissions team reviews the application and confirms the candidate's eligibility.

4. Enrollment: Complete the enrollment and fee payment to confirm the seat in the programme.

IIT Roorkee FinTech with AI

IIT Roorkee FinTech Fees (PGCPF)

While the exact structured fee amount can vary based on the batch and payment structure, the IIT Roorkee FinTech fees for the PGCPF follow a transparent structure designed to be suitable for working professionals seeking high-quality upskilling. For detailed and latest fee information, installment plans, and any available No-Cost EMI options, it is recommended to request a callback or check the official programme website.

IIT Roorkee FinTech with AI Course Curriculum

The 6-month curriculum is industry-aligned and designed by IIT Roorkee faculty and FinTech experts to provide a comprehensive understanding of how technology and AI are driving financial transformation.

Module 1: Foundations of FinTech and Digital Finance

• What is FinTech and its evolution.

• Key drivers transforming the finance industry.

• Emerging sectors in FinTech.

• Innovations in FinTech (Smartphone/Cloud, AI/ML, IoT, Blockchain).

Module 2: Blockchain and Cryptocurrencies

• Transformation from traditional to digital currency.

• Core concepts of Blockchain, Cryptography, and Hashing.

• Understanding Bitcoin Transactions and Blockchain Security.

• Central Bank Digital Currency (CBDC) overview.

Module 3: Banking, Lending, and Payments

• Overview of the Banking Industry and its functions.

• Impact of FinTech on traditional banking and alternative lending models.

• Detailed study of the Digital Payments ecosystem.

Module 4: Applications of AI and Big Data in Finance

• Implementation of Big Data and AI in FinTech applications.

• Robo-Advisory Systems and InsurTech & WealthTech.

• Understanding Smart Contracts, NFT, and Buy Now Pay Later (BNPL).

Module 5: Risk, Regulation, and Cybersecurity

• FinTech Risk Exposures and Banking Sector Regulations.

• Introduction to Regulatory Technology (RegTech) and FinTech regulations in India.

• Importance of Cybersecurity in financial services.

• Exploration of Regulatory Sandboxes for fostering innovation.

Module 6: Future Trends and Generative AI in FinTech

• Impact of Generative AI in FinTech.

• The entrepreneurial landscape in the FinTech space.

• Future trends and directions in digital finance.

• Financial inclusion and technology.

Module 7: Advanced Banking, Capital Markets & FinTech Models

• Unbundling & Rebundling of Traditional Banking.

• Basic Concepts of Capital Markets, Payments (Rails, Networks), and Lending.

• The Regulatory and Compliance Landscape.

• FinTech Business Models.

Module 8: Advanced Risk, RegTech, and AI Ethics

• The Rise of Regulatory Technology (RegTech) & Supervisory Technology (SupTech).

• Digital Identity (KYC & AML).

• Automated Regulatory Reporting (MiFID II, BASEL III).

• AI Ethics in Finance: The “Black Box” Problem.

Module 9: Capstone Project and Industry Application

• Real-World Project Solving a FinTech/AI Challenge.

• Applications for Tools: Python, Blockchain, ML.

• Group Presentations & Faculty Feedback.

• Industry Relevance & Practical Problem-Solving.

IIT Roorkee FinTech with AI

Career Outcomes and Who Should Enroll

This course equips learners with the skills to transition into or excel in the high-growth FinTech industry, demonstrating the power of IIT Roorkee ai in fintech. The programme is ideal for:

• Working Professionals: Those in banking, insurance, asset management, or IT who wish to transition into FinTech roles or lead digital transformation initiatives.

• Graduates: Freshers seeking to build a strong foundation and enter the digital finance space with a recognized IIT certification.

• Analysts & Consultants: Professionals looking to integrate AI and data modelling into financial strategy, risk management, or consulting.

Upon successful completion, graduates are prepared for various roles, including  FinTech Analyst, AI-Driven Financial Strategist, Risk & Compliance Analyst, Digital Banking Consultant, Fraud Intelligence Specialist and Financial Data Analyst.

Hands-on Learning and Project Work

A key component of the PGCPF is practical application, ensuring learners can implement theoretical knowledge in real-world scenarios. The programme features:

• Hands-on Labs: Practical exercises focusing on financial modelling and utilizing AI tools.

• Industry Case Studies: Solving real-world FinTech challenges using integrated AI techniques.

• Capstone Project: An industry-focused project that requires applying all learned modules to solve a complex business problem, from strategy to execution.

• Optional Campus Immersion: The opportunity to attend a 2-day on-campus immersion at IIT Roorkee for expert-led sessions and networking.

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