B.Com. Business Analytics
Programme Overview
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.
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.
Business Analytics Papers Integrated
- Analytics for Business Decisions
- Business Intelligence and Data Visualisation
- Marketing Analytics
- Financial Analytics
- Data Analytics in Accounting
- Data Visualisation using Power BI
- HR Analytics
- Business Forecasting
Certifications Include
- Python Programming
- Statistics with R
- Structured Query Language (SQL)
- SAS and Tableau
- Big Data Analytics
- Social Media Analytics
- Natural Language Processing (NLP)
- Machine Learning and Artificial Intelligence
Course Matrix
| Semester I | Semester II | Semester III | Semester IV | Semester V | Semester VI |
|---|---|---|---|---|---|
| Financial Accounting | Corporate Accounting | Accounting for Business Combination | Costing Methods and Techniques | Income Tax Law and Practice I | Income Tax Law and Practice II |
| Business Statistics | Business Intelligence and Data Visualisation | Cost Accounting | Financial Analytics | Law and Practice of Banking | Management Accounting |
| Analytics for Business Decisions | Economics for Business Decisions | Marketing Analytics | Corporate Financial Management | Research Methodology | Indirect Tax Laws |
| English | Personal Finance Management | Business Regulatory Framework | Organizational Behaviour | Data Visualization Using Power BI | Business Forecasting |
| Second Language | English | Entrepreneurial Skills | Entrepreneurship and Start-up Management | Data Analytics in Accounting | Human Resource Analytics |
| Business Communication | Second Language | AI in Commerce | Indian Knowledge System | Internship | Research Project |
| Health and Wellness | Management of Financial Products | Environmental Science | - | Understanding India | - |
Key Features
- Eight additional certifications are included in the four-year curriculum
- Hands-on training with industry-standard analytics tools and platforms
- Real-world projects with live datasets from partner organisations
- Exposure to predictive modelling, prescriptive analytics, and data visualisation techniques
- Preparation for careers in data science and business intelligence
- Training in statistical analysis, machine learning algorithms, and big data technologies
- Progressive skill development from basic programming to advanced AI applications
- Capstone project involving end-to-end analytics solution development
- Industry mentorship and internship opportunities in analytics firms
- Access to cloud computing platforms and advanced analytics software
- Focus on both technical competencies and business acumen
- Training in data storytelling and communicating insights effectively
Career Opportunities
- Business Analyst
- Data Analyst
- Financial Analyst
- Marketing Analyst
- Data Scientist
- Business Intelligence Consultant
- Analytics Manager
- Forecasting Specialist
- Data Engineer
- AI/ML Specialist
- Decision Science Analyst
- Quantitative Analyst