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.
Certified by the Ministry of Education, Govt. Of India, JGU is 1 of the only 4 private institutions in India to have this status. It is also UGC recognised.
JGU has been ranked as the First & Best Private University in India in the prestigious OUTLOOK-ICARE India’s Top Universities Rankings 2024 for the fourth consecutive year.
O.P. Jindal Global University (JGU) has been awarded the prestigious AACSB International Accreditation
Receive a globally respected certificate from a world-class institution known for innovation, excellence, and academic integrity.
Gain a professionally designed, university-backed certificate that reflects rigorous standards and real-world relevance.
Learn under OP Jindal Global University, a leading institution recognized for research-driven education and strong global partnerships.
Join a powerful global alumni community with access to exclusive benefits, opportunities, and academic resources for life.
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 |
|---|---|---|
| Registration Amount | INR 25,000 | Upon acceptance of Offer Letter |
| Instalment 1 | INR 1,25,000 | Before Batch Commencement |
| Instalment 2 | INR 1,25,000 | By 15th Jan 2027 |
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.
