The demand for professionals who understand both Artificial Intelligence and Finance is growing rapidly. Modern financial institutions increasingly depend on data analytics, machine learning, automation, digital finance, risk modelling and intelligent decision-making. For students who want to build a career at the intersection of technology and financial services, the OP Jindal Online B.Sc Artificial Intelligence & Finance 2026 is a future-focused undergraduate programme.
The programme combines financial concepts with artificial intelligence, data analytics, machine learning, Python, financial technology and modern financial-market applications. It is offered by the Jindal School of Banking & Finance and is designed as a 3-year online undergraduate degree. The current 2026 programme information lists 160 credits, a total tuition fee of ₹2,20,000, and a batch start date of 1 September 2026.
Students looking for information about OP Jindal Online B.Sc Artificial Intelligence & Finance fees, eligibility, syllabus, admission process, career opportunities and helpline number can find the major details in this guide.
OP Jindal Online B.Sc Artificial Intelligence & Finance 2026 – Highlights
| Particular | Details |
|---|---|
| Programme | B.Sc Artificial Intelligence & Finance |
| University | O.P. Jindal Global University |
| School | Jindal School of Banking & Finance |
| Mode | Online |
| Duration | 3 Years |
| Credits | 160 |
| Batch Start | 1 September 2026 |
| Total Tuition Fee | ₹2,20,000 |
| Eligibility | Class 12/equivalent with 50% marks |
| Required Subject | Mathematics / Business Mathematics / Statistics / Business Studies |
| Admission Assessment | FACTA |
| Selection | Assessment + Personal Interview |
| Admission Helpline | +91 79 7310 4914 |
The programme is officially listed as a 3-year online B.Sc. under the Banking & Finance branch.
What is OP Jindal Online B.Sc Artificial Intelligence & Finance?
The B.Sc Artificial Intelligence & Finance is an interdisciplinary undergraduate programme that combines two rapidly developing areas: Artificial Intelligence and Finance.
The objective is to help students understand how technology, data and intelligent systems are transforming banking, investment, financial markets, risk management and fintech.
Instead of studying finance and technology separately, students develop knowledge across both areas. The programme includes financial analysis, investment analysis, risk management, Python, data visualisation, machine learning, AI applications, fintech, blockchain and digital financial technologies.
This makes the programme relevant for students interested in careers such as:
- FinTech
- Financial Data Analytics
- Investment Analysis
- Risk Analysis
- AI in Finance
- Financial Technology
- Banking Technology
- Business Analytics
- Financial Modelling
- Digital Finance
- AI-driven Consulting
Why Choose B.Sc Artificial Intelligence & Finance in 2026?
The financial industry is becoming increasingly data-driven. Banks, fintech companies, investment firms and financial-service organisations use technology to analyse large datasets, detect fraud, assess risk, automate processes and support investment decisions.
Artificial Intelligence is becoming particularly important in areas such as:
- Credit scoring
- Fraud detection
- Risk assessment
- Algorithmic trading
- Portfolio analysis
- Financial forecasting
- Customer analytics
- Automated financial processes
- Compliance monitoring
- Digital banking
A student with knowledge of both finance and AI can therefore develop a broader skill set than someone who studies only traditional finance.
The OP Jindal programme specifically focuses on financial analysis and decision-making, Python and Tableau-based data analytics, AI and machine learning applications, fintech and digital innovation, and trading and market tools.
OP Jindal Online B.Sc AI & Finance Fees 2026
The total tuition fee for the OP Jindal Online B.Sc Artificial Intelligence & Finance 2026 is currently listed as:
Total Tuition Fee: ₹2,20,000
The programme’s listed payment structure is:
| Fee Component | Amount |
|---|---|
| Registration Amount | ₹25,000 |
| Instalment 1 | ₹65,000 |
| Instalment 2 | ₹65,000 |
| Instalment 3 | ₹65,000 |
| Total | ₹2,20,000 |
According to the current programme information, the ₹25,000 registration amount is payable upon acceptance of the offer, while the remaining instalments are scheduled around the programme commencement and subsequent academic years.
Students should always confirm the applicable payment schedule at the time of admission because fee schedules and admission policies can be updated.
OP Jindal Online B.Sc AI & Finance Eligibility 2026
Students planning to apply for this programme need to meet the prescribed academic requirements.
Eligibility Criteria
Applicants should:
- Have completed Class 12 or equivalent
- Have secured at least 50% marks
- Have studied at least one of the following subjects:
- Mathematics
- Business Mathematics
- Statistics
- Business Studies
International learners may also be required to provide a government-issued identification document.
Therefore, students should carefully check their Class 12 subject combination before applying.
Who Can Apply for This Programme?
The programme can be considered by students who are interested in both business and technology.
It can be particularly suitable for:
1. Class 12 Students
Students who have recently completed Class 12 and want to enter the emerging fields of AI, finance and fintech can consider this programme.
2. Commerce Students
Students from a commerce background who have studied Mathematics, Business Mathematics, Statistics or Business Studies may find the programme particularly relevant.
3. Students Interested in FinTech
Students who want to understand how technology is transforming banking, payments, investment and financial services can benefit from the combination of finance and AI.
4. Students Interested in Data Analytics
The programme introduces students to Python, data visualisation and analytics, making it relevant for learners interested in financial data.
5. Future Entrepreneurs
Students interested in technology-driven financial businesses can use the combination of business, finance and technology knowledge to explore entrepreneurial opportunities.
OP Jindal Online B.Sc AI & Finance Admission Process 2026
The admission process is designed around multiple stages.
Step 1: Submit the Application
Students first need to complete the programme application with the required academic and personal details.
Step 2: FACTA Assessment
Eligible applicants may need to appear for the Finance Aptitude and Critical Thinking Assessment (FACTA).
This assessment is designed to evaluate relevant aptitude and critical-thinking abilities.
Step 3: Personal Interview
Shortlisted applicants may be invited for a personal interview. The interview can help assess the candidate’s motivation, interests and suitability for the programme.
Step 4: Final Selection
The final admission decision is based on the applicable assessment and interview process.
OP Jindal Online B.Sc AI & Finance Syllabus 2026
The programme focuses on the intersection of financial knowledge, artificial intelligence, analytics and technology.
The curriculum includes areas such as:
Finance
Students build an understanding of:
- Corporate Finance
- Financial Markets
- Investment Analysis
- Portfolio Management
- Risk Management
- Financial Reporting
- Banking Systems
- Advanced Corporate Finance
Artificial Intelligence
Students explore:
- Artificial Intelligence
- Machine Learning
- Neural Networks
- Deep Learning
- AI applications in finance
- Data-driven decision-making
Data Analytics
The programme also introduces:
- Python
- Tableau
- Data Analytics
- Financial Data Analysis
- Data Visualisation
- Financial Modelling
FinTech
Students can learn about emerging areas including:
- Financial Technology
- Blockchain
- Digital Currency
- Digital Finance
- Banking Technology
- Technology-driven financial services
The programme is structured to combine conceptual learning with practical exposure and technology-oriented applications.
Major Skills You Can Develop
One of the important advantages of combining AI with finance is the opportunity to develop a broad range of technical and business skills.
Students can work toward developing skills in:
Financial Analysis
Understanding financial statements, markets, investments and business decisions.
Python
Learning programming fundamentals and using Python for financial data analysis.
Data Visualisation
Using tools such as Tableau to interpret and present financial information.
Machine Learning
Understanding how machine-learning techniques can be applied to financial datasets and decision-making.
Risk Management
Learning how financial institutions identify, evaluate and manage different forms of risk.
FinTech
Understanding the technologies changing modern banking and financial services.
AI-Based Decision Making
Exploring how intelligent systems can support financial analysis and business decisions.
Career Opportunities After B.Sc Artificial Intelligence & Finance
A degree combining AI and finance can open career possibilities across traditional financial services as well as technology-driven businesses.
Potential career areas include:
1. Investment Banking
Graduates can explore entry-level opportunities involving financial analysis, market research and investment-related activities.
2. Financial Data Analyst
Students with finance and analytics skills can work with financial datasets to identify trends and generate business insights.
3. Risk Analyst
Risk professionals help organisations identify and analyse financial and operational risks.
4. FinTech Professional
FinTech companies require professionals who understand both financial concepts and technology.
5. Investment Analyst
Investment analysts evaluate financial information, markets and investment opportunities.
6. AI & Finance Analyst
The combination of AI and financial knowledge can be useful for roles involving technology-driven financial analysis.
7. Financial Technology Consultant
Students can explore consulting roles involving digital transformation, financial technology and analytics.
8. Compliance and Risk Technology
AI and analytics are increasingly used for financial monitoring, fraud detection and regulatory processes.
The programme itself highlights career directions including fintech, investment banking, risk analysis and AI-driven consulting.
Who Should Choose OP Jindal Online B.Sc AI & Finance?
This programme can be a good choice for students who:
- Like both finance and technology
- Are interested in artificial intelligence
- Want to learn Python
- Want to understand financial markets
- Are interested in FinTech
- Enjoy working with numbers and data
- Want to explore investment analysis
- Are interested in machine learning
- Want an online undergraduate degree
- Want to develop future-oriented financial skills
It may not be the right choice for students who have no interest in mathematics, data, technology or financial concepts.
Benefits of Studying AI and Finance Together
Combination of Two High-Growth Areas
Artificial intelligence and financial technology are transforming the way financial institutions operate.
Flexible Online Learning
The online format allows students to pursue their degree while maintaining greater flexibility in their daily schedule.
Technology-Focused Finance Education
Instead of focusing only on traditional finance, students can explore technology-based financial applications.
Data-Driven Skills
Python, Tableau and analytics can help students develop practical data-handling skills.
Industry-Oriented Learning
The programme includes practical exposure and industry-oriented learning through tools, simulations and real-world applications.
B.Sc AI & Finance vs Traditional Finance Degree
A traditional finance programme generally focuses heavily on accounting, economics, financial management, investment and financial markets.
The B.Sc AI & Finance approach adds another layer:
| Traditional Finance | AI & Finance |
|---|---|
| Financial Management | Financial Management |
| Accounting | Accounting |
| Investment | Investment |
| Financial Markets | Financial Markets |
| Risk Management | Risk Management |
| Limited Programming | Python |
| Traditional Analytics | Data Analytics |
| Traditional Decision-Making | AI-Based Decision-Making |
| Traditional Finance | FinTech |
| Finance Technology Exposure | Machine Learning & AI |
For students who want a career that combines financial knowledge with technology, AI & Finance can provide a more interdisciplinary learning path.
OP Jindal Online B.Sc AI & Finance Duration
The programme has a duration of:
3 Years
The programme is structured across multiple trimesters and carries 160 credits. The current 2026 programme information lists the batch start as 1 September 2026.
Is B.Sc Artificial Intelligence & Finance a Good Career Option?
Yes, it can be a strong option for students who genuinely want to combine finance with technology.
Financial services are becoming increasingly dependent on:
- Artificial intelligence
- Machine learning
- Big data
- Automation
- Digital banking
- FinTech
- Predictive analytics
- Algorithmic systems
- Cybersecurity
- Financial modelling
This means students who understand both financial principles and technological applications can potentially explore a wider range of career paths.
However, the degree alone is not enough. Students should also develop practical skills through projects, internships, certifications, coding practice and financial-market learning.
How to Prepare for a Career After B.Sc AI & Finance
Students can strengthen their career profile by developing additional skills alongside their degree.
Learn Python
Build a strong foundation in Python and practice using it for data analysis.
Understand Financial Markets
Follow stock markets, banking, mutual funds, financial institutions and economic developments.
Practice Data Analytics
Work with real datasets and learn how to extract useful insights.
Build Projects
Create projects such as:
- Stock-price analysis
- Portfolio analysis
- Financial dashboard
- Credit-risk model
- Fraud-detection model
- Financial forecasting project
Learn AI and Machine Learning
Understand regression, classification, neural networks and predictive modelling.
Develop Communication Skills
Finance professionals need to explain technical findings clearly to business teams and decision-makers.
OP Jindal Online B.Sc AI & Finance Admission Helpline
Students who want admission assistance or additional guidance regarding the programme can use the following admission assistance number:
+91 79 7310 4914
Students can enquire about:
- B.Sc AI & Finance admission
- Eligibility
- Fees
- Application process
- Assessment
- Programme duration
- Course structure
- Admission requirements
- Online learning
- Career opportunities
Frequently Asked Questions
1. What is the duration of OP Jindal Online B.Sc AI & Finance?
The programme has a duration of 3 years.
2. What is the total fee for OP Jindal Online B.Sc AI & Finance?
The current listed total tuition fee is ₹2,20,000.
3. What is the eligibility for B.Sc AI & Finance?
Applicants need to have completed Class 12 or equivalent with 50% marks and must have studied at least one of Mathematics, Business Mathematics, Statistics or Business Studies.
4. Is the B.Sc AI & Finance programme available online?
Yes. O.P. Jindal Global University lists the B.Sc Artificial Intelligence & Finance as an online 3-year programme.
5. When does the 2026 batch start?
The current programme information lists the batch start as 1 September 2026.
6. What is FACTA?
FACTA stands for Finance Aptitude and Critical Thinking Assessment. It forms part of the programme’s stated selection process.
7. What subjects are required in Class 12?
Applicants must have studied at least one of the following: Mathematics, Business Mathematics, Statistics or Business Studies.
8. What careers can I pursue after B.Sc AI & Finance?
Depending on skills and experience, graduates can explore areas such as financial analysis, investment analysis, risk management, FinTech, AI-driven consulting and financial data analytics.
9. Is this course suitable for students interested in FinTech?
Yes. FinTech and digital innovation are important components of the programme, making it relevant for students interested in technology-driven financial services.
10. What is the admission helpline number?
The admission assistance helpline for this campaign is +91 79 7310 4914.
Final Words
The OP Jindal Online B.Sc Artificial Intelligence & Finance 2026 is designed for students who want to understand the future of finance through the combination of AI, data analytics, machine learning, financial markets and FinTech.
With a 3-year duration, 160 credits and total tuition fee of ₹2,20,000, the programme provides an interdisciplinary pathway for students interested in technology-driven financial careers. The eligibility requirement is 50% in Class 12 or equivalent, along with at least one relevant subject such as Mathematics, Business Mathematics, Statistics or Business Studies.
For students planning a career in FinTech, investment analysis, risk management, financial analytics, AI applications or digital finance, this programme can be a valuable starting point. Students should also focus on practical projects, Python, analytics, financial-market knowledge and communication skills to make the most of the degree.
For admission assistance, students can contact:
Collegekampus.com
