B.Sc with Mathematics, Statistics and Computer Sciences is one of the most opted course, which is aimed at giving an analytical base to a student.This Course integrates all three mathematical sciences namely mathematics, statistics and computer sciences and thus enables the students to develop mathematical skills, paradigms, along with Statistical tools for summarization and interpretation of huge data. It also provides good career opportunities in computer sciences both in industry as well as education & research.
At the end of the course, students develop problem solving skills and learn various concepts which help in developing logical tools and models used to solve various real life problems. Also the students learn traditional techniques of solving algebraic, transcendental equations, differential and integral equations, which have applications in many disciplines. They develop skills for pattern recognition, probability concepts and statistical models which are basic for statistical inference for application in many natural phenomenon and also students learn applied statistical techniques which can used in industry, IT, engineering and social sciences etc. such as sampling theory, experimental designs, statistical quality control, concept of six sigma process, reliability, econometrics, optimization techniques, demography and Indian official statistics, which helps students towards the real applications of industry. In computer science, students develop ability to write algorithms for problems ranging from simple to complex problems, understand the practical implementation of the algorithm using programming language like C, Java and develops programs to solve the problems in best possible way. Students will also develop documentation skills and presentation tolls. The students will be able to find the role of databases for the organization and to apply them to the real world problems. They also appreciate the implications of operating systems in development of computing systems.
Course details(W.e.f 2020-21):