M.Tech Computational Mathematics Syllabus 2026: Subjects, Specializations, and Semester-wise Syllabus

Explore advanced computational math concepts. Study numerical analysis, mathematical modeling, data analysis, and more. Develop expertise in practical math applications.

Master of Technology in Computational Mathematics Syllabus and Subjects

A Master of Technology (M.Tech.) program in Computational Mathematics is an advanced course designed for individuals with a strong mathematical background who wish to explore the intersection of mathematics and computer science. The syllabus for this program typically encompasses a wide range of subjects, including numerical analysis, mathematical modelling, optimization techniques, computational statistics, and programming languages relevant to mathematical computing such as MATLAB and Python. Students will delve into the theoretical aspects of mathematics while also gaining practical skills in using computational tools to solve complex mathematical problems. This program equips graduates with the expertise to work in diverse fields like scientific research, data analysis, finance, cryptography, and more, where advanced mathematical and computational skills are highly valued. The Computational Mathematics M.Tech. program provides a strong foundation for those seeking a career at the forefront of mathematical innovation and computation.

1st Year OR 1st & 2nd Semester Syllabus of Master of Technology (M.Tech) Computational Mathematics

S.no	Subjects
1	Probability, Statistics & Stochastic Processes
2	Database Systems and Data mining
3	Numerical Optimization
4	Computational Differential Equations

2nd Year OR 3rd & 4th Semester Syllabus of Master of Technology (M.Tech) Computational Mathematics

S.No	Subjects
1	Database Systems and Data mining
2	Software Engineering
3	Computer Networks and Distributed systems
4	Advanced Multivariate Statistical Technique
5	Design of Experiments
6	Large Scale Scientific Computation