MBA with FinTech & AI
Duration: 2 Years
Industry Partner
Enquire Now
USP: Paid Apprentice from 3rd Year Connected to Job
Duration: 2 Years
Industry Partner
Enquire Now
USP: Paid Apprentice from 3rd Year Connected to Job
Industry-Integrated Curriculum
Advanced Hands-on Technology Training
Strong Research & Innovation Focus
Career-Driven Skill Development
Flexible, Outcome-Based NEP Framework
High Employability Pathways
NEP & SDG Aligned
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.
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.
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 entrance, screening & PI.
01
Expertise in Digital Finance & Banking Innovation
Ability to work with digital payment systems, neo-banks, open banking APIs, and emerging financial technologies transforming BFSI.
02
Strong Skills in AI, Data Analytics & Automation
Proficiency in predictive analytics, machine learning models, RPA tools, and AI-driven decision systems used for risk, credit, and investment.
03
Competence in Blockchain, Crypto & Smart Contracts
Understanding of decentralized finance (DeFi), tokenization, secure transactions, and blockchain applications in banking and insurance.
04
Advanced Financial Risk, Compliance & RegTech Knowledge
Capability to apply financial laws, fraud detection, AML/KYC processes, and regulatory automation solutions for secure finance operations.
05
Industry-Ready Strategic & Entrepreneurial Capabilities
Prepared to lead FinTech projects, collaborate with tech startups, build digital products, and innovate financial business models.
06
Contribution to Secure & Inclusive Digital Economy
Ability to design technology-driven financial solutions that enhance cyber security, digital inclusion, and ethical financial transformation.
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.
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