B.Sc Applied Mathematical Computing at School of Mathematics, Applied Statistics and Analytics, Narsee Monjee Institute of Management Studies, Mumbai Offline Course

B.Sc. (Applied Mathematical Computing) is a three year programme. It covers diverse areas like Financial Mathematics, Mathematical Biology, Machine Learning and Deep learning. the course offered at Narsee Monjee Institute of Management Studies, Mumbai.

Mathematics and its applications are quickly becoming indispensable in our modern technological world. Advancement in fields of applications has prompted the use of computational techniques unique to particular entities. The discipline of Applied Mathematics, using computational approaches responds to the demands of conceptual analysis, principles, and problem solving for a new world filled with more advanced tools of computing and technology.

In the Applied Mathematical Computing programme, students are trained in one, exploring problems using symbolic, graphical, numerical, physical, and verbal techniques. Two, engage in precise mathematical thinking and modelling to examine and solve problems. And finally, data analysis with the help of algorithms from machine and deep learning. Students can use these skills in the context of finite or discrete real-world situations in disciplines including, but not limited to, economics, medicine, agriculture, marine science, law, transportation, engineering, banking, natural sciences, social sciences, and computing.

The main emphasis of this programme is on developing the ability of the students to start with a problem in non-mathematical form and transform it into mathematical language. This will enable them to bring mathematical insights and skills in devising a solution, and then interpreting this solution in real-world terms.  The technological skills that students develop would prove vital to them, as they present and analyze data for a research component. The Bachelor of science in Applied Mathematical Computing at NMIMS concentrates on areas where Mathematical Sciences, Computing and Finance are most relevant, emphasizing the bridges between theory and applications. It offers opportunities to develop a deeper understanding of the mathematical foundations of the subject and its applications, positioning students to be highly competitive for job opportunities including analyzing and managing corporate data in different formats, as well as in academic teaching and research.