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

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OP Jindal Global University Online MSc in Artificial Intelligence and Finance degree program

Course Overview

Earn an Online M.Sc. in Artificial Intelligence and Finance from JGU. This program builds skills at the intersection of AI and financial decision-making.
Master AI-driven financial modelling and predictive analytics. Core finance and data-science subjects build core skills.
Build strong technical and analytical skills. Applied projects sharpen this training throughout the program.
Unlock roles like Quant Analyst and AI-Finance Specialist. Fintech and banking firms value this degree.

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.

UGC
UGC
NAAC A
NAAC A
NIRF
NIRF
IOE
IOE
AIU
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

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  • 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.

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  • Build skills in AI-driven modelling and predictive analytics. These skills unlock Quant Analyst careers.

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  • Complete this M.Sc. online while balancing other commitments. Recorded sessions fit any schedule.

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  • 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

O P Jindal Global Online M.Sc. in Artificial Intelligence and Finance fee structure showing semester fee, total course fee, and EMI options

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

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    Undergraduate degree with at least 50% marks

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    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

NAAC A grade certificate OP Jindal Global University Online MSc in Artificial Intelligence and Finance

Who Can Apply ?

• Graduates with a bachelor's degree in any discipline with 50% marks (45% for reserved category) can apply directly to this artificial intelligence and finance program.
• Working professionals switching into artificial intelligence and finance gain a flexible, globally recognised path without leaving their job.
• Ready to grow fast? Apply today, admissions run on a rolling basis for most JGU Online programs.

Course Syllabus

Semester 1

Financial Management
Financial Mathematics and Statistics
Financial Markets and Instruments
Python programming for Financial Applications

Semester 2

Financial Data Analytics and Time Series
International Corporate Social Responsibility and Ethics
Technology Risk Management
Global Economy and Geopolitical Risk

Semester 3

Natural Language Processing for Financial Markets
Fintech Innovations and Digital Banking
Portfolio Management and Robo-Advisory
Corporate Governance and Compliance

Semester 4

Theories and Applications of Agentic AI
Algorithmic Trading and Quantitative Strategies
Blockchain and Digital Currency
Capstone Project

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 RolesAverage SalaryKey SkillsAge Group
Quant Analyst Trainee, FinTech Data Analyst, Junior Risk Modeller800000Python, Financial Modelling, Machine Learning Basics22
Quantitative Analyst, AI Risk Manager, FinTech Product Manager1800000Algorithmic Trading, Predictive Modelling, Cloud AI Platforms25

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.

deloitte
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kpmg
accenture
amazon
google

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.