The M.Sc. in Artificial Intelligence & Finance is a one-year online master’s programme offered by the Jindal School of Banking & Finance (JSBF) at O.P. Jindal Global University (JGU). Designed for professionals and graduates, the programme bridges the gap between technology and finance, preparing learners to lead in the era of fintech, automation, and digital transformation.
Through live online classes with global faculty, hands-on projects, and real-world case studies, students gain expertise in machine learning applications for financial markets, algorithmic trading, AI-driven risk analysis, and blockchain technologies. The interdisciplinary curriculum blends financial theory with cutting-edge AI tools, fostering both analytical depth and strategic decision-making skills.
Learners will explore topics such as Agentic AI, Fintech Innovations, and Portfolio Management, while also understanding the ethical, regulatory, and governance dimensions of financial technology.
Graduates emerge ready to innovate across banking, fintech, and investment sectors—empowered to design intelligent financial solutions, enhance data-driven decisions, and lead the next wave of transformation in global finance.
Students
University Faculty & Staff
Collaborations with International Universities
Alumni Network
Publications
| Course | Credits |
|---|---|
| Financial Data Analytics and Time Series | 6 |
| International Corporate Social Responsibility and Ethics | 4 |
| Technology Risk Management | 4 |
| Global Economy and Geopolitical Risk | 4 |
| Total Credits | 18 |
| Course | Credits |
|---|---|
| Natural Language Processing for Financial Markets | 4 |
| Fintech Innovations and Digital Banking | 4 |
| Portfolio Management and Robo-Advisory | 4 |
| Corporate Governance and Compliance | 4 |
| Total Credits | 16 |
| Course | Credits |
|---|---|
| Theories and Applications of Agentic AI | 4 |
| Algorithmic Trading and Quantitative Strategies | 4 |
| Blockchain and Digital Currency | 4 |
| Capstone Project | 4 |
| Total Credits | 16 |
Total Credits: 66
Eligibility:
Selection Criteria:
Admission decisions are based on a comprehensive review of the applicant’s profile, including academic performance, Statement of Purpose (SOP), and academic transcripts. Shortlisted candidates may also be invited for a personal interview to assess their motivation and program fit.
| Fee | Amount | Due Date |
|---|---|---|
| Fee | INR 25,000 | Upon acceptance of Offer Letter |
| Instalment 1 | INR 1,37,500 | Within 30 days from the programme commencement date |
| Instalment 2 | INR 1,37,500 | Prior to the commencement of Term 3 |
The programme spans four terms covering finance fundamentals, AI and machine learning applications, fintech innovations, algorithmic trading, blockchain, and a capstone project, totaling 66 credits.
Yes! The fully online format with live interactive sessions and recorded lectures is designed for working professionals and learners across India and abroad.
You will work on real-world projects, financial datasets, case studies, and virtual labs, ensuring practical exposure alongside theoretical understanding.
Graduates gain skills to design AI-driven financial solutions, analyze market data, implement algorithmic trading strategies, and pursue leadership roles in fintech, banking, and investment analytics globally.
