Keeping in tune with the order of the day, the School of Mathematics offers courses that span across a variety of areas in Mathematics. Starting off with certain fundamental courses such as Single Variable Calculus and Group Theory, the school offers mandatory courses as advanced as Functional Analysis and Differential Geometry and elective courses such as Ergodic Theory, Data Sciences and Machine Learning, as well.

Foundation Courses for BS-MS programme:


Varsha Semester
MATH 111 Single Variable Calculus
IDC 111 Mathematical Tools-I
Vasanth Semester
MAT 121 Introduction to Algebra
IDC 121 Mathematical Tools-II


Varsha Semester
MATH 211 Multi Variable Calculus
Vasanth Semester
MAT 221 Introduction to Probability and Statistics

Major Courses in Mathematics


Varsha Semester
MAT 311 Real Analysis
MAT 312 Abstract Algebra
MAT 313 Linear Algebra
MAT 314 Numerical Analysis
Mat 315 Number Theory and Cryptography
Vasanth Semester
MAT 321 Complex Analysis
MAT 322 Measure Theory and Integration
MAT 323 Galois Theory & Commutative Algebra
MAT 324 Theory of Ordinary Differential Equations
MAT 325 General Topology


Varsha Semester
MAT 411 Functional Analysis
MAT 412 Analysis on Manifolds
MAT 413 Partial Differential Equations
MAT 414 Rings, Modules and Algebras
Vasanth Semester
MAT 421 Probability Theory and Stochastic Process
MAT 422 Differential Geometry

Electives available at SoM:

  • Algebraic Geometry
  • Algebraic Number Theory
  • Algebraic Topology
  • Lie Groups and Lie Algebras
  • Representation Theory
  • Matrix Analysis
  • Operator Algebras
  • C* Algebras
  • Graph Theory
  • Diophantine Approximations
  • Harmonic Analysis
  • Stochastic Analysis
  • Control Theory
  • Mathematical Finance
  • Financial Engineering
  • Mathematical Fluid Dynamics
  • Calculus of Variations
  • Operations Research
  • Discrete Mathematics
  • Programming and Data Structures
  • Finite Element Methods
  • Operator Theory
  • Ergodic Theory
  • Category Theory and Applications
  • Complex Geometry
  • Geometry of Schemes
  • Class Field Theory
  • Elliptic Curves and Modular Forms
  • Fourier Analysis
  • Complex Dynamics
  • Mathematical Biology
  • Wavelets and Frames
  • Geometric Measure Theory
  • Data Science and Machine Learning
  • Several Complex Variables