Computer Science and Finance interact in multiple ways. Topics in computer science, such as numerical methods and database management systems, are essential to econometricians and financial engineers who like to independently handle increasingly large and complex datasets. On the other hand, topics such as game theory have found numerous applications in edge computing, sensor networks, and social network analysis. More recently, Machine Learning and Artificial Intelligence have become indispensable tools in Finance and are being increasingly applied in empirical methods. The ability to develop sophisticated mathematical models and algorithms and write programmes to analyse big data is a unique combination coveted in both business and academia.
The BxMx Programme is aimed at creating flexible employment opportunities for students at the graduate level of education. The BS in Computer Science and MS in Quantitative Finance combines the strengths of the School of Arts and Sciences and Amrut Mody School of Management to provide students with these critical mathematical and computational skills complemented with Economics and Finance. It allows seamless movement between the two Schools and Programmes and provides students an opportunity to earn the two degrees in five years instead of six. The Programme will prepare them for doctoral studies or careers in Economics, Finance, government, and business.