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Professional Accounting & Finance / B.Com. Business Analytics
This programme prepares students for the era of big data and artificial intelligence by equipping them with the analytical skills required to transform complex datasets into strategic business insights. The four-year curriculum integrates advanced analytics coursework—including data analysis, visualisation, predictive modelling, and AI applications—alongside core commerce subjects. The programme also offers several certifications. This programme also offers industry-relevant certifications that strengthen students’ technical competencies and enhance their employability in the global analytics landscape.
This integrated structure enables students to navigate data-driven decision-making with confidence and positions them for emerging careers across finance, consulting, technology, and strategic business management.
The B.Com is a three year degree programme. However, as per the provisions of the new National Education Policy (NEP 2020), a student may continue into the fourth year and earn a B.Com Honours degree.
Advanced analytics coursework—data analysis, visualisation, predictive modelling and AI—alongside core commerce subjects.
Industry-relevant certifications that strengthen technical competencies and enhance employability in the global analytics landscape.
Three-year B.Com degree with the option to continue into the fourth year and earn a B.Com Honours degree under NEP 2020.
Graduates can pursue emerging careers across finance, consulting, technology and strategic business management in the analytics landscape.
A four-year B.Com. pathway integrating advanced analytics with commerce for data-driven business careers.
Programme: Bachelor of Commerce
Specialisation: Business Analytics
Duration: 4 Years (with optional B.Com Honours pathway under NEP 2020)
Mode: Full-Time Undergraduate Programme
Academic Focus: Data analysis, visualisation, predictive modelling, AI applications and core commerce
Certifications: Multiple industry-relevant analytics and technology certifications included
Analytics papers and industry certifications built into the four-year curriculum to strengthen technical and business skills.
Eight additional certifications are included in the four-year curriculum.
Review the mandatory academic qualifications and minimum score criteria required for admission.
Candidates who have completed Higher Secondary (10+2 / PUC) or equivalent are eligible.
Looking for a programme that matches your interests?
Find Programmes by InterestOutcome-based learning that builds analytics competence with strong commerce and business decision-making skills.
Training with industry-standard analytics tools and platforms used in real business environments.
Real-world projects with live datasets from partner organisations and capstone end-to-end solutions.
Exposure to predictive modelling, prescriptive analytics and data visualisation techniques.
Skill development from basic programming to advanced AI, ML, big data and cloud platforms.
Focus on both technical competencies and business acumen, including data storytelling and insight communication.
Mentorship, internships and preparation for careers in data science, business intelligence and analytics firms.
Big data and artificial intelligence are reshaping how organisations make decisions. Graduates who can turn complex datasets into clear business insights are in strong demand across finance, consulting, technology and strategic management.
The B.Com. Business Analytics programme combines core commerce education with advanced analytics coursework and industry certifications. Students build progressive technical skills while developing the business judgment needed for data-driven roles.
Choosing this programme enables students to:
With integrated papers, certifications and applied projects, the programme prepares graduates for analytics and intelligence careers in a data-driven economy.