Department of Management
- Program CodeBBA-004
- Duration 3 Years
- LevelGraduate Programme
- Department Department of Management
The BBA in FinTech with Artificial Intelligence is an innovative undergraduate programme that combines business management with emerging financial technologies and AI. It provides students with a strong foundation in finance, economics, and management, along with practical knowledge of digital banking, blockchain, data analytics, and machine learning.
The programme emphasizes industry-relevant skills through case studies and projects, preparing graduates for careers in fintech firms, banks, and technology-driven financial services or for advanced studies in finance and analytics.
1,00,000 1stYr.
1,00,000 2ndYr.
1,00,000 3rdYr.
60% (55% for SC/ST) marks in 10+2
Admission can be sought on the basis of:
- National level entrance exams – NTA CUET
- OR
- University Entrance Test – in case seats are vacant
- OR
- Merit based direct admission
At the end of the program the student will be able to:
PO 1
PO-1
Graduates will acquire integrated knowledge of business management, financial systems, and fintech-enabled technologies.
PO 2
PO-2
Graduates will apply AI, data analytics, and digital tools to solve real-world financial and business problems.
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PO 3
PO-3
Graduates will demonstrate ethical, analytical, and regulatory awareness in fintech and AI applications.
PO 4
PO-4
Graduates will be prepared for careers, entrepreneurship, and higher studies in fintech and AI-driven financial services.
PEO 1
PEO-1
To produce graduates with strong foundations in business management, finance, and emerging technologies relevant to FinTech and Artificial Intelligence
PEO 2
PEO-2
To develop professionals capable of applying AI and digital financial tools for innovation and problem-solving in the financial services sector.
PEO 3
PEO-3
To inculcate ethical values, regulatory awareness, and social responsibility in the use of FinTech and AI solutions.
PEO 4
PEO-4
To prepare graduates for gainful employment, entrepreneurship, and higher education in FinTech, data analytics, and allied domains.
- FinTech and Financial Data Analyst
- AI Applications Executive (Finance)
- Risk and Compliance Analyst
- FinTech Product Executive / Start-up Associate
- Investment and Portfolio Analytics Executive
