Bachelor in FinTech and AI

Course Overview

The Bachelor in FinTech and AI is an interdisciplinary undergraduate program that merges Finance and Technology with Artificial Intelligence 🤖.

It provides a deep understanding of financial systems and emerging technologies like blockchain, cryptocurrencies, robo-advisory, and algorithmic trading . Students gain expertise in AI-powered applications for banking, investments, payments, and risk management, preparing them for high-demand roles in the booming global FinTech market.

Eligibility Criteria

Course Information

Entrance Exams & Admission Process

UG

Basic
CUET UG, NMIMS NPAT, SET (Symbiosis), Christ University Entrance Test

PG

Advanced
CUET PG, CAT / XAT / GMAT (for related MBA/M.Sc. programs)

Others

Special
Direct admission based on 10+2 merit in many private institutions; Institute-level entrance tests & personal interviews

Who Should Pursue This Course?

  • Students interested in both Finance and cutting-edge Technology 💻
  • Aspirants who enjoy working with data, programming, and financial markets
  • Individuals with aptitude in Mathematics, Statistics, and Computer Science
  • Students aiming to develop innovative financial products and AI-driven solutions
  • Those seeking careers in FinTech startups, digital banking, or AI-based financial consulting

Curriculum & Specializations

Core Subjects

Fundamentals of Financial Services & Markets
AI Applications in Financial Services
Blockchain and Cryptocurrencies
Machine Learning for Finance
Robo-advisory & WealthTech
Digital Payments and Wallets
Regulatory Technologies (RegTech)

Specializations (PG Level)

Blockchain & Cryptocurrencies
AI in Risk Management & Fraud Detection
Algorithmic & High-frequency Trading
Robo-advisory Platforms
Digital Banking & Neo-Banking

Key Skills Required

Technical

Programming (Python, R) & AI/ML frameworks (TensorFlow, PyTorch)
Blockchain technologies and smart contract implementation
Data Visualization (Tableau, Power BI) and Cloud Computing

Analytical/Logical

Financial modeling & forecasting
Quantitative analysis & Statistical techniques
AI-based decision modeling and risk assessment

Soft Skills

Business communication and regulatory awareness in FinTech
Entrepreneurial thinking and innovation & product design
Teamwork in cross-functional tech-finance teams
Ethical decision-making in AI & Finance

International Exposure & Study Abroad Options

Student Exchange Programs

With top FinTech hubs like London, New York, Singapore

Global Internships

Opportunities at major global FinTech firms

Study Abroad Destinations

US, UK, Canada, Europe, Singapore for higher studies

Scholarships

Erasmus+, Chevening, Fulbright, Commonwealth Scholarships

Career Pathways

Path 1: FinTech Product Management & Consulting

Bachelor in FinTech and AI

UG (3 years)

MBA / M.Sc. in FinTech / AI in Finance

PG (2 years)

AI-FinTech Consultant / Product Manager

Specialized Role

Path 2: Data Science & Engineering

BBA FinTech / B.Sc. FinTech + Certifications

UG (3 years)

Executive PG in FinTech / Specialized PG programs

PG (1–2 years)

Data Scientist / Risk Analyst in FinTech / Financial AI Developer

Technical Role

Job Roles & Top Recruiters

Job Roles

  • FinTech Product Manager
  • Financial Data Scientist / Quantitative Analyst
  • Blockchain Developer / AI-Finance Consultant
  • Risk Analyst using AI / RegTech Specialist
  • Digital Banking Specialist / Financial AI Developer

Top Recruiters India

  • FinTech Startups: Paytm, Razorpay, PhonePe, Zerodha
  • Digital Banking: ICICI Bank (Digital), HDFC Bank (FinTech Labs)
  • Payments & Infrastructure: NPCI, Pine Labs
  • IT Services: Infosys Finacle, Tata Consultancy Services (TCS)

Top Recruiters Global

  • Investment Banks: JPMorgan Chase, Goldman Sachs
  • Global FinTech: Revolut, Stripe, PayPal, Square, Robinhood
  • Crypto & Blockchain: Coinbase
  • Tech Giants: Google Pay, Mastercard Labs

Salary Insights (India & Abroad)

Freshers (India)

₹5L – ₹10L per annum

Mid-Level (India)

₹12L – ₹25L per annum

Abroad Salary

₹60L – ₹1 Cr per annum
(USD 75K – 120K approx.)

Top Medical Colleges

Top Colleges - World

  • Massachusetts Institute of Technology (MIT), US
  • Stanford University, US / London School of Economics (LSE), UK

Top Colleges - India

  • NMIMS Mumbai / Christ University, Bangalore
  • Symbiosis School of Business, Pune / Shiv Nadar University

Top Colleges - Tamil Nadu

  • SRM Institute of Science and Technology / VIT Vellore
  • Loyola College, Chennai / PSG College of Technology, Coimbatore

Benefits of Choosing This Course

  • Exposure to two high-growth domains: Finance & AI 📈
  • Industry-ready skills highly valued by employers globally with strong potential for international placements and mobility

Advantages and Disadvantages

Advantages
  • High industry demand and excellent salary prospects
  • Opportunities to drive innovation in financial services and pursue entrepreneurial ventures
Disadvantages
  • Requires continuous upskilling due to fast-evolving technologies and regulatory frameworks
  • High-pressure roles , particularly in algorithmic trading and digital banking innovation

FAQs & Student Queries

Yes , it is one of the most future-proof and globally growing career options with strong demand in banking, investments, and digital payments sectors.

Basic knowledge of Python is highly recommended . Advanced AI/ML programming skills are taught and essential for success in the course.

Banking, Payments, WealthTech, InsurTech, RegTech, Blockchain & Cryptocurrency firms, and Consulting firms are the major recruiters.

Yes , if they meet the mathematics/statistics requirement and are comfortable learning programming and computer science principles.

Analyst → Product Manager / Data Scientist → FinTech Lead / Head of Innovation → Chief FinTech Officer / FinTech Entrepreneur .