The BCom (Applied Finance and Analytics) programme is designed with a dual focus on Finance and Analytics. This programme is specially designed to develop student’s analytical skills and enable them to think critically when making financial decisions. The curriculum focuses on combining the knowledge of Finance, Economics and Statistics using Machine Learning Algorithms. The students will be able to further boost their abilities in analysing financial data given the backdrop of economic trends and also build invaluable skills. Students learn advanced courses across finance catering to careers in Corporate Finance, Mergers and Acquisitions, Business Valuation and Modelling, Investment Management, Risk Management, Financial Planning, Private equity Wealth Management and Management Consulting. On the Analytics front students will learn to code programs and handle complex data sets with algorithms. 

The students learn to use tools such as Python, R, VBA, Power BI, and SQL and develop skills to interpret and convert data into valuable insights, which they use to create business strategies and drive business decisions. The students will also take a few courses on data science techniques such as predictive modelling, optimisation techniques, advanced statistics, and machine learning. In the end, students learn about visualisation and presentation of insights. The course is systematically designed with capstone projects specifically to cater to analytics-based courses in various domains such as - Retail, Web and social media, Supply chain and logistics, healthcare, Banking, Insurance, Finance and Accounting and Start-ups where industry partners mentor and evaluate the projects along with faculty mentors. At the end of the programme, the student is ready to face the futuristic world with two powerful skill sets pertaining to a highly growing field of Finance and Analytics.