School of Computer Science Engineering & Applications

M.Sc. in Computational Mathematics

Program Overview

The M.Sc. in Computational Mathematics is a research-oriented postgraduate program designed to bridge advanced mathematics and theoretical computer science, preparing students for research, analytics, and high-end computational roles.

Program Essentials

Duration: 2 Years (4 Semesters)
Eligibility: Pass in B.Sc. / B.Tech / B.Sc. (Hons) / BCA from a recognized University
Total Credits: ~75–80
Program Identity: Emphasis on algorithms, numerical computation, optimization, and probabilistic modelling.

Key Subject Areas

Core Mathematics : Real Analysis, Abstract Algebra, Numerical Analysis, Differential Equations, Probability, Statistics, Optimization.
Core Computing : Programming (Python/C++), Algorithms, Data Structures, Scientific Computing, Automata Theory.
Computational Focus : Mathematical Modelling, Simulation, Machine Learning, Data Analysis, AI Concepts.

Course Structure

Tentative Structure

Semester I (Foundation)

Theory : Calculus-I/II, Linear Algebra, Real Analysis, Discrete Mathematics, Introduction to Programming (C/C++/Python)
Practical : Programming Labs

Semester II

Theory : Differential Equations, Numerical Methods, Probability & Statistics, Theory of Computations
Practical : Numerical Methods Lab, Data Structures

Semester III (Specialization Begins)

Theory : Optimization Techniques, Machine Learning Fundamentals, Scientific Computing, Advanced Numerical Analysis
Practical : Machine Learning Lab, Computational Lab

Semester IV (Advanced & Project)

Theory : Electives like Data Science, AI, Financial Modelling, or Advanced Statistics
Practical : Dissertation/Project Work

M.Sc. in Computational Mathematics - CSE Menu

Program Overview
Course Structure