Program Highlights

  • MBA program with FinTech & AI specialization
  • Training in digital banking, blockchain, payments & AI analytics
  • Apprenticeship from Second Year with Job Link
  • AI Enabled Teaching Learning Governance
  • AI Applications Courses are Mandatory
  • Hands-on fintech labs & cloud-based financial systems
  • Exposure to GenAI, automation & financial analytics
  • Corporate internships & live fintech projects
  • Certification-oriented learning modules
  • Startup incubation & innovation mentoring
  • Placement-focused professional development
  • Scope for Higher Research & Entrepreneurship Development

Introduction

The MBA (FinTech & Artificial Intelligence) is a two-year postgraduate programme that integrates modern financial systems with emerging technologies to prepare students for the rapidly evolving digital economy.

The programme provides a strong foundation in financial management, banking systems, financial services, insurance, global trade, and international banking operations, blending them with advanced and AI applications.

It offers comprehensive training in FinTech innovations, digital banking, blockchain, financial automation, regulatory technology (RegTech), and data-driven decision-making. Students work with real-time financial datasets, sandbox environments, and advanced analytical tools to understand risk, compliance and financial modelling.

The program aims to build industry-ready professionals with the ability to conceptualize, design, and manage technology-driven financial products and services aligned with the needs of modern BFSI and global financial institutions.

Tools Covered

Digital Banking & Financial Technology Platforms:
Core Banking Systems (Finacle, Flexcube), Digital Payment Platforms (UPI, Apps), IMPS, Wallets, Open Banking & API Ecosystems.

AI & Data Analytics Tools for Finance:
Python, R, SQL, Power BI, Tableau, Machine Learning Libraries (TensorFlow, Scikit-Learn), Big Data Tools (Hadoop, Spark).

Blockchain, Crypto & Smart Contract Tools:
Ethereum, Hyperledger, MetaMask, Solidity, Web3.js, DeFi Platforms & Tokenization Tools.

Robotic Process Automation (RPA) & Automation Tools:
Uipath, Automation Anywhere, Blue Prism, Intelligent Bots for Finance & Compliance.

RegTech, Risk & Compliance Tools:
AML & KYC Tools, Credit Risk Scoring, Fraud Detection Platforms, Financial Compliance Tools, Cybersecurity for Fintech Systems.

Financial Modelling & Market Analysis Tools:
Excel Advanced Modelling, Bloomberg Terminal, Market Simulation Platforms, Algorithmic Trader Tools & APIs.

Program Details

  • A two-year postgraduate programme combining FinTech, Artificial Intelligence, and Banking & Finance.
  • Focuses on digital financial systems, AI applications in finance, data science, blockchain, quantitative modelling, and the BFSI ecosystem.
  • Includes training in international banking operations, forex markets, compliance regulations, global financial structures, and cross-border transactions.
  • Provides hands-on experience with AI/ML tools, financial datasets, FinTech sandboxes, blockchain platforms, and digital banking systems.
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Eligibility

Passed Bachelor Degree of minimum 3 years duration. Obtained at least 50% marks (45% marks in case of candidates belonging to reserved category) in the qualifying examination.

Duration

2 Years (4 Semesters)

Tuition Fees

₹ 1,25,000 per Semester

*Fees such as Admission, Caution Money,
Examination, Hostel, and Transport fees are extra. 

Selection Criteria

Admission will be done on the basis of merit which includes any recognized JEE or JKUEE & PI or as per AICTE guidelines.

Program Outcome

01

Apply management & fintech concepts in real business scenarios

02

Use AI analytics for financial decision-making

03

Design & manage digital banking and fintech solutions

04

Understand compliance, risk & governance frameworks

05

Demonstrate leadership, teamwork & communication skills

06

Be prepared for higher studies & professional certifications

07

Gain readiness for digital finance careers

Course at a Glance

Core Subjects: FinTech Fundamentals, Financial Management, Artificial Intelligence in Finance, Banking & BFSI, Blockchain Technology, Data Analytics, Risk Management, International Finance.

Specialized Areas: API Banking, Robo-Advisory Systems, WealthTech, InsurTech, RegTech, Algorithmic Trading, Credit Scoring Models.

Skill Training: AIML Tools, Blockchain Development, Financial Modelling, Python for Finance, Data Visualisation, RPA Automation, Compliance Tools.

Outcome: Industry-ready professionals skilled in FinTech, AI-driven finance, digital banking, BFSI operations, global banking, and financial automation.

Career Opportunities

  • FinTech Product Manager
  • AIML Finance Analyst
  • Blockchain Developer
  • Digital Payments Specialist
  • Risk Analytics Associate
  • Robo-Advisory / WealthTech Analyst
  • Planning & Scheduling Assistant
  • Supply Chain Support Executive
  • Business Analyst (Operations)
  • Operations Entrepreneur

Campus Facilities

  • FinTech Labs
  • AI & Analytics Labs
  • Smart Classrooms
  • 24×7 Wi-Fi
  • Digital Library
  • Innovation Center
  • Placement & Certification Support

Leading Job Sectors

  • Technology & IT Services (Tata Consultancy Services, Infosys, Wipro, HCL Technologies etc.)
  • Design, Digital & Product Companies (Adobe, Figma, Canva etc.)
  • Finance, Banking & FinTech (Paytm, Razorpay, PhonePe etc.)
  • Consulting & Professional Services (Deloitte, KPMG, EY etc.)
  • Media, Marketing & Creative Agencies (Ogilvy, Wieden+Kennedy, Dentsu etc.)
  • Startups & Product-Based Firms (Ola, Oyo, Urban Company etc.)
  • Manufacturing & Industrial (Tata Steel, JBM, Mahindra & Mahindra etc.)
  • Ecommerce & Platforms (Flipkart, Amazon, Myntra etc.)

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