

O P Jindal Global Online M.Sc. in Artificial Intelligence and Finance

Course Overview
Accreditations
O P Jindal Global University holds a NAAC A grade (CGPA 3.26) and UGC-DEB approval. The Government of India also recognises JGU as an Institution of Eminence.


NAAC A

NIRF

IOE

AIU
Course Highlights
Designed to deliver industry-relevant skills, academic excellence, and career growth
- JGU holds NAAC A grade accreditation and Institution of Eminence status. This status places JGU among a small group of top private universities.
- This M.Sc. sits within JGU's Online Master's program family, focused on the fintech and data-science intersection.
- Study predictive modelling alongside core financial theory. This focus suits students aiming at quant-finance careers.
- Access recorded lectures, live sessions, and teaching-assistant support. JGU's digital library adds further academic resources.
- A bachelor's degree meets JGU's standard PG eligibility. Apply through JGU's official online admissions portal.
- Confirm the exact current fee directly with JGU admissions, since a clear published figure wasn't available for verification.
Course Benefits
Earn a NAAC A grade accredited M.Sc. in AI and Finance from JGU. This degree carries the same recognition as JGU's on-campus programs.
Build skills in AI-driven modelling and predictive analytics. These skills unlock Quant Analyst careers.
Complete this M.Sc. online while balancing other commitments. Recorded sessions fit any schedule.
Access JGU's global alumni network. Career guidance supports every fintech career path.
Course Fees
The fee structure for this O P Jindal Global Online M.Sc. in Artificial Intelligence and Finance is designed to be affordable and flexible for both freshers and working professionals


Total 4 semester
INR 68,750 / Semester
*Fees may vary kindly check the actual fee with our counsellor
Full course fee
INR 2,75,000
*Inclusive of all taxes
EMI starting at
INR 22,917 / Month
*Terms & Conditions apply
Eligibility
- »
Undergraduate degree with at least 50% marks
- »
Candidates with less than 50% marks must:
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Appear for the JSAT examination, and
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Attend a mandatory interview

Who Can Apply ?
Course Syllabus
Semester 1
Semester 2
Semester 3
Semester 4
Job Roles
Connect with our expert counsellors to get personalized guidance tailored to your unique career journey. Whether you're exploring new opportunities or planning your next big step, our team is here to support you at every stage with clarity and confidence.
Get one-on-one guidance based on your academic background and experience
Discover programs aligned with your career goals and future aspirations
Receive insights on industry trends, job roles, and growth opportunities
| Job Roles | Average Salary | Key Skills | Age Group |
|---|---|---|---|
| Quant Analyst Trainee, FinTech Data Analyst, Junior Risk Modeller | 800000 | Python, Financial Modelling, Machine Learning Basics | 22 |
| Quantitative Analyst, AI Risk Manager, FinTech Product Manager | 1800000 | Algorithmic Trading, Predictive Modelling, Cloud AI Platforms | 25 |
Top Recruiters
Top recruiters for this course include Google, Amazon, Accenture, and Deloitte. Companies like Infosys and Tata Consultancy Services provide strong opportunities in tech and management roles.






Explore Other Specializations from O P Jindal Global University
FAQs
What is the cost for the O P Jindal Global University Online M.Sc. in Artificial Intelligence and Finance?
The fee is ₹2,75,000 for the entire 1-year program from O P Jindal Global University.
Is the O P Jindal Global University Online M.Sc. in Artificial Intelligence and Finance worth it?
Yes, if artificial intelligence, data science, financial technology, analytics, or finance already excite you. It's a strong choice for building real, career-ready expertise in this exciting field.
What is the syllabus for JGU Online M.Sc. AI and Finance?
You'll learn artificial intelligence, machine learning, and financial analytics. Algorithmic trading and data science come next. Risk analytics, fintech, and predictive modelling follow smoothly. AI applications in finance round things out. Together, these help you build powerful technical and financial expertise.
How can I apply for the Artificial Intelligence and Finance online M.Sc. from O P Jindal Global University?
Applying is easy through CourseConnect. Just complete your application online. Our friendly team happily assists with the form. They also help with document verification. They guide you through every step of admission with real care.
What is the duration of the Online AI and Finance M.Sc. program at JGU?
It's a focused, 1-year journey — the entire course from O P Jindal Global University.
Who is eligible for the O P Jindal Global University Online M.Sc. in Artificial Intelligence and Finance?
A bachelor's degree from a recognised university is the main requirement. Candidates are warmly welcome to apply. They should also meet the university's eligibility requirements.
Can working professionals pursue the O P Jindal Global University Online M.Sc. in Artificial Intelligence and Finance?
Yes, and this flexible online format suits working professionals well. It's goodfor finance professionals and data analysts too. Technology enthusiasts looking to upskill will find it a good fit.
Is the JGU Online M.Sc. in Artificial Intelligence and Finance recognised?
Yes, the program follows UGC (University Grants Commission) regulations for online higher education. It meets all the relevant recognition requirements.
What is the average salary after completing the O P Jindal Global University Online M.Sc. in Artificial Intelligence and Finance?
The average salary is an encouraging ₹8,46,000 per year. That figure can grow even further, depending on skills, experience, and the employer.
Which organisations recruit graduates from the O P Jindal Global University Online M.Sc. in Artificial Intelligence and Finance?
TCS, Infosys, Wipro, and Accenture. Deloitte, EY, and KPMG hire. So do IBM, Microsoft, and Oracle. Fintech companies, investment firms, and banks are strong options as well. AI-driven organisations round out this exciting landscape of opportunity across artificial intelligence, financial analytics, data science, fintech, and risk management.



