Integrated MSc curriculum

Curriculum of Integrated M.Sc. in Mathematics

The following courses are offered as part of the Integrated M.Sc. programme.

Mathematics-I and Mathematics-II are only for students not having Mathematics major

Semester III	Semester IV
Introductory Statistics & Probability	Introductory ODE & PDE
Calculas-I	Linear Algebra-I
Combinatorics	Co-ordinate Geometry
Physics-III	Numerical Methods and Boolean Algebra
Chemistry-III	Thermodynamics and Optics/ Introductory Topology
Mathematics-III	Disaster Management
Introduction to Scientific Computing
National Service Scheme

Mathematics-III is only for students having Physics and Chemistry major

Semester V	Semester VI
Calculas-II	Ring Theory
Programming, Algorithm and Mathematical Software	Elementary Number Theory
Statics and Dynamics	Introduction to Optimization
Elementary Complex Analysis	Elementary Integral Transforms and Special Functions
Graph Theory	Seminar
	Elementary Coding and Information Theory

Semester VII	Semester VIII
Abstract Algebra	Complex Analysis
Linear Algebra-II	Theory of Ordinary Differential Equations
Real Analysis-III	Topology
Computer Programming	Numerical Analysis
Lebesgue Measure and Integration	Computer Lab
Computer Lab	Open Elective-I

Computer Lab is a separate practical unit of Computer Programming course
Open Elective-I will be notified by Controller of Examination time to time

Semester IX	Semester X
Partial Differential Equations	Probability Theory
Functional Analysis	Mathematical Methods
DSE-I	Classical Mechanics
Open Elective-II	DSE-II
Project	DSE-III

DSE-I, DSE-II and DSE-III are to be chosen from the following couses:

Elective Courses

Fluid Mechanics	Electrodynamics
Relativity	Operations Research
Elliptic Curves	Algebraic Number Theory
Numerical Linear Algebra	Operator Theory-I
Advanced Algebra-I	Quantum Mechanics-I
Mathematical Modeling-I	General Theory of Relativity
Sampling Techniques-I	Statistical Quality Control
Multivariate Analysis-I	Fuzzy Sets and Applications-I
Fourier Analysis	Continuum Mechanics
Theory of Distribution and Sobolev Spaces	Operator Theory –II
Analytic Number Theory	Advanced Algebra-II
Quantum Mechanics –II	Mathematical Modeling-II
Sampling Techniques-II	Stochastic processes –II
Reliability Theory	Multivariate Analysis-II
Fuzzy Sets and Applications-II	Parallel Numerical Algorithms
Finite Element Method	Applied Matrix Theory
Computational Fluid Dynamics	Wavelets and Applications
Advanced Topology-I	Numerical Solutions of ODE
Advanced Topology-II	Numerical Solutions of PDE
Algebraic Geometry

Syllabus: Download Integrated M.Sc Maths Syllabus (for 2018 entry batch onwards)

Learning Outcomes Based Curriculum for Integrated M.Sc