The Master of Commerce (Fintech and Analytics) program at the Department of Commerce, Manipal Campus of Manipal Academy of Higher Education is a cutting-edge, industry-driven postgraduate program designed for finance professionals who want to lead the digital transformation of the financial industry.

The program, formerly known as Master of Commerce (Banking Technology) until the 2024-25 batch, has been upgraded to integrate financial technology, data analytics, AI, blockchain, and sustainable finance. This program provides students with the technical expertise and strategic insights needed to excel in the fast-evolving world of digital finance. Whether you aspire to be a fintech strategist, financial data analyst, AI-driven investment expert, or blockchain specialist, this program offers the perfect blend of finance, technology, and analytics to shape your career in the digital economy

As financial institutions rapidly adopt AI, blockchain, big data analytics, and digital banking technologies, the need for professionals with finance and technology expertise is greater than ever.

This program bridges the gap between finance and digital innovation by equipping students with the skills needed to analyze financial data, implement AI-driven financial solutions, and develop fintech strategies. Students will gain hands-on experience with Python, R, NLP (Natural Language Processing), machine learning, and blockchain applications, ensuring they are industry-ready upon graduation.

With practical exposure through real-world projects, internships, and a semester abroad option, students will develop technical proficiency, analytical thinking, and global financial acumen. The program culminates in a research dissertation, internship, or international semester, providing students with deep insights and industry engagement opportunities.

Additionally, students can specialize in Sustainability and ESG Analysis, Financial Planning, or Green Finance, aligning their expertise with emerging trends in ethical and sustainable financial practices

The M.Com (Fintech and Analytics) program is designed to develop:

• Fintech Leaders & Innovators – Master blockchain, digital banking, and AI-powered financial decision-making to drive the future of fintech.
• Advanced Financial Data Analysts – Gain hands-on experience in data analytics, machine learning, and NLP applications for financial insights and forecasting.
• Blockchain & Digital Currency Experts – Understand how decentralized finance (DeFi), cryptocurrencies, and smart contracts are shaping the future of global transactions.
• Tech-Driven Financial Strategists – Leverage big data, business intelligence, and financial analytics to improve corporate financial decision-making.
• Global Finance Professionals – Explore international finance, sustainable investments, and ESG analytics to build expertise in global financial systems.
• Industry-Ready Researchers & Consultants – Work on impactful research projects, internships, and real-world fintech applications to bridge academia and industry.
• This program is ideal for finance graduates and professionals who want to merge financial expertise with technological innovation and data-driven decision-making

The M.Com (Fintech and Analytics) program prepares students for high-growth careers in financial technology, data analytics, and digital finance, making them highly sought-after by banks, fintech firms, investment companies, and consulting firms. Career opportunities include:

• Financial Data Analyst – Analyzing complex financial datasets to provide predictive insights for investments and risk management.
• Blockchain Consultant – Designing and implementing blockchain-based solutions for banking, payments, and digital assets.
• AI & Machine Learning Specialist (Finance) – Developing AI-powered financial models, robo-advisors, and fraud detection systems.
• Fintech Strategy Consultant – Advising banks and financial institutions on digital transformation and payment innovations.
• Digital Banking Specialist – Driving innovation in digital lending, mobile banking, and alternative payment technologies.
• Investment & Wealth Analyst – Using big data and AI-driven models to optimize investment decisions and portfolio management.
• Risk & Fraud Analyst – Implementing machine learning models to detect financial fraud and manage cybersecurity threats.
• Sustainability & ESG Analyst – Analyzing and developing sustainable finance strategies for investment firms and regulatory bodies.
• With a strong foundation in fintech, AI-driven analytics, and digital finance, graduates will be in high demand across investment firms, fintech startups, global banks, regulatory bodies, and consulting firms. This program also provides an excellent platform for Ph.D. research in finance, financial technology, and AI applications in economics

Click here to view

2 years (4 semesters)

• Comprehensive Fintech & Analytics Curriculum – Learn digital banking, blockchain, AI, big data, and sustainable finance for a future-proof career.
• Hands-on Training with Cutting-Edge Tools – Gain expertise in Python, R, machine learning, NLP, and data visualization tools to analyze complex financial datasets.
• Global Perspective with Industry Relevance – Study international finance, financial analytics, and fintech trends with a global outlook and local application.
• Specialized Electives for Niche Expertise – Choose from Sustainability & ESG Analysis, Financial Planning, and Green Finance, aligning with emerging industry demands.
• Research & Industry Integration – Undertake internships, research projects, or a semester abroad, ensuring practical exposure to real-world financial challenges.
• Future-Proof Skill Development – Master advanced econometrics, NLP, AI-powered financial modeling, and blockchain innovations to stay ahead of industry disruptions.
• Expert-Led Learning – Learn from leading academicians, fintech professionals, and global finance experts, blending academic rigor with real-world applications.
• Career-Ready for the Digital Economy – Graduate with the skills to lead fintech innovations, optimize financial operations, and develop AI-driven financial solutions.
• Tailored Learning – Students can opt for internships, research dissertations, or a semester abroad, ensuring tailored learning experiences for career growth