
Program Eligibility
You must successfully complete a Bachelor's degree in Management or Commerce from a recognized university with a minimum of 50% aggregate marks or equivalent.
Technology Integration: Experience AI, machine learning, NLP, blockchain, and big data applications through labs and live projects.
Industry-Centric Training: Learn from NSE Academy experts and prepare for fintech, ESG finance, and data-driven roles.
Global Exposure: Choose a semester abroad at partner universities to gain international insights into fintech and analytics.
Balanced Curriculum: Strengthen your foundation in commerce while applying emerging technologies to finance.
Innovation & Incubation Support: Access MAHE’s entrepreneurial ecosystem with mentorship, competitions, and funding opportunities.

Lab Work
Specialised fintech and analytics labs allow you to practice AI, ML, NLP, and simulation-based decision-making for finance.
Lab Work
Specialised fintech and analytics labs allow you to practice AI, ML, NLP, and simulation-based decision-making for finance.
Program Details
Lead digital finance transformations by applying blockchain, AI, and big data to financial solutions.
Analyse large and complex datasets to produce insights for investment, forecasting, and risk management.
Prepared to work in specialised roles such as fintech strategist, financial data analyst, blockchain consultant, ESG analyst, and AI-driven finance professional.
Master advanced research in fintech, financial analytics, AI in economics, and doctoral studies.
Gain the ability to bridge technology and commerce, combining domain expertise with practical applications in banking, investments, and digital finance.
Become industry-ready professionals who can undertake consulting, research, and leadership assignments in global finance markets.

Our meaningful collaborations with industry leaders and global universities enhance your career opportunities and higher education pathways.
Placements









Admissions Path
Curriculum and Fees
Introduction to Core modules in fintech, blockchain, AI, machine learning, data analytics, digital banking, and commerce fundamentals, with lab-based training in Python, R, and NLP.
Program Duration
Total Program fees
General:
Total Program fees
NRI/Foreign:
Scholarships


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