The B.Sc. in Artificial Intelligence and Finance (Online) is an interdisciplinary programme designed for learners aiming to excel at the intersection of technology, data, and financial systems. Delivered in a fully online format, it offers the flexibility to learn from anywhere while building skills aligned with the evolving global economy.
Combining core financial principles with artificial intelligence, the programme develops strong foundations in data analytics, machine learning, and fintech applications. The curriculum is structured to create dual expertise, enabling learners to navigate data-driven financial ecosystems with confidence.
Through a blend of self-paced content, live masterclasses, and interactive sessions, students gain both conceptual clarity and practical exposure. Hands-on learning with tools like Python and data visualisation platforms ensures industry readiness from the outset.
With a strong emphasis on real-world application, mentorship, and industry exposure, the programme bridges academic learning with professional practice, preparing graduates for careers in fintech, investment analysis, risk modelling, data science, and digital 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.
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| Courses | Type | Credits |
|---|---|---|
| Business Statistics and Decision Sciences | Core | 6 |
| Workplace Dynamics and Professional Presence | Core | 4 |
| Critical Thinking, Self Reflection, and Communication | Core | 6 |
| Corporate Finance | Core | 4 |
| FinTech, Blockchain, and Digital Currency | Core | 4 |
| Courses | Type | Credits |
|---|---|---|
| Tableau for Data Visualisation | Core | 6 |
| Business Law and Ethics | Core | 4 |
| Introduction of Environmental Science and ESG Practices | Core | 4 |
| Introduction to Analytics and Artificial Intelligence | Pathway | 4 |
| Banking Systems and Technology | Pathway | 4 |
| Courses | Type | Credits |
|---|---|---|
| Python for Financial Data Analysis | Core | 4 |
| AI for Finance and Business | Core | 4 |
| Cybersecurity and Privacy Regulations | Pathway | 4 |
| Behavioral Economics and Social Psychology | Advanced Core | 4 |
| Economics for Change: Community Engagement & Responsible Citizenship | Advanced Core | 4 |
| Courses | Type | Credits |
|---|---|---|
| Fundamentals of Financial Markets | Core | 4 |
| Database Management Systems for Finance | Pathway | 4 |
| Introduction to Machine Learning | Pathway | 4 |
| Marketing of Financial Services | Advanced Core | 4 |
| Courses | Type | Credits |
|---|---|---|
| Risk Management and Modelling | Advanced Core | 6 |
| Theories and Applications of Agentic AI | Pathway | 4 |
| Neural Networks and Deep Learning | Pathway | 4 |
| AI Ethics and Society | Advanced Core | 4 |
| Courses | Type | Credits |
|---|---|---|
| Investment Analysis and Portfolio Management | Advanced Core | 4 |
| Robotic Process Automation | Pathway | 4 |
| Elective 1 | Elective | 4 |
| Elective 2 | Elective | 4 |
| Courses | Type | Credits |
|---|---|---|
| Elective 3 | Elective | 4 |
| Elective 4 | Elective | 4 |
| Elective 5 | Elective | 4 |
| Courses | Credits |
|---|---|
| Co-op - 4 Months of Intensive Internship | 12 |
| Courses | Credits |
|---|---|
| Social Entreprenuership | 4 |
| Scaling Up MSMEs and Family Businesses | 4 |
| Intraprenuership | 4 |
| Innovation and Product Development | 4 |
| Startup Incubation and Innovation Workshop Series | 4 |
| Digital Marketing and Analytics | 4 |
| Business Model and Strategy for New Ventures | 4 |
| Digital Entreprenuership and Technology Commercialization | 4 |
| Management Accounting | 4 |
| Financial Reporting & Analysis | 4 |
| Banking Systems and Technology | 4 |
| Advanced Corporate Finance | 4 |
| Taxation | 4 |
| Strategic Management | 4 |
| Performance Management | 4 |
| Corporate Law | 4 |
| Audit & Assurance | 6 |
Eligibility:
Selection Criteria:
Admission to the programme is based on a multi-step evaluation process:
Submit the Application Form
FACTA Assessment
Personal Interview
Final Selection
Total Tuition Fee: 2,20,000
| Fee | Amount | Due Date |
| Registration Amount | INR 25,000 | Upon acceptance of Offer Letter |
| Instalment 1 | INR 65,000 | Before Batch Commencement |
| Instalment 2 | INR 65,000 | By 30th Jul 2027 |
| Instalment 3 | INR 65,000 | By 30th Jul 2028 |
The program covers subjects such as financial markets, corporate finance, portfolio management, machine learning, and Python programming. Students also gain exposure to data science and fintech applications. This blend of courses helps learners develop both technical expertise and financial knowledge within a single interdisciplinary framework.
Yes, the program offers hands-on experience using Bloomberg Terminals, trading labs, and Python. This practical exposure ensures students not only study theories of finance and artificial intelligence but also practice them in real-world simulations, strengthening their readiness for careers in financial technology and investment roles.
Yes, students can choose electives during the course to build expertise in areas of interest. These electives allow learners to explore specialized fields within finance or artificial intelligence, tailoring their academic journey while maintaining the program’s balance between technical and financial learning.
The application process is carried out through the university’s admissions system. Applicants need to complete the form and submit required details as instructed. Further steps, timelines, and requirements are communicated directly by the university once an application has been submitted.
Applicants must meet the eligibility criteria, which include completion of Class XII with Mathematics. Specific documents required, such as academic records and identification, are outlined by the university during the application process. Candidates should check directly with admissions for the latest list of requirements.
