MTech in Computing and Mathematics Curriculum 2020

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Curriculum overview

First semester curriculum is designed with diversity in mind. Apart from the common courses, M.Sc. Mathematics students will be trained in certain basic core courses from computer science and B.Tech. Computer Science and Engineering students will be trained in some core mathematics courses. Later semesters will comprise of a wide spectrum of advanced courses in both the domains. Major areas include Algorithms, Graph Theory, Combinatorics, Logic, Computational Methods and Foundations of Data Science & Machine learning. The program culminates with an year long Project/Dissertation in the second year, that prepares students to pursue careers that require innovations involving sophisticated applications of mathematics in computer science.

Core courses (Theory): Linear Algebra, Probability and Statistics, Topics in Discrete Mathematics, Algorithms, Theory of Computation, Graph Theory and Combinatorics, Foundations of Data Science and Machine Learning.

Core courses (Lab): Programming Lab, Computational Methods and Applications.

Details

• Semester I: Total credits is 18. If a student has already credited a course with a similar content as some core course prescribed in this curriculum, during his/her previous degree, then a program elective course may be credited instead of that course, for completing the credit requirements. For this, the permission of the faculty advisor is to be obtained.
• Semester II: Total credits is 16.
• Semester III: Total credits is 14. The students are free to take Open Electives either from the set of Program Electives or from the set of any research or PG level electives in the institute.
• Semester IV: Total credits is 12. Minimum credit requirements is 58 credits