School of Advanced Sciences (SAS) | Mathematics



The Mathematics Division facilitates B. Tech programmes of all the schools and 5 year Integrated M. Tech Programmes by offering various core and elective Mathematics/Statistics courses. These courses enable the students to nurture their Mathematical/Statistical/Computational skills and their critical learning ability. The courses offered are:


Course Code Course name
MAT1003 Linear Algebra and Differential Equations
MAT1011 Calculus for Engineers
MAT1012 Statistical Applications
MAT1014 Discrete Mathematics and Graph Theory
MAT1016 Applied Discrete Mathematical Structures
MAT1021 Probability and Statistics for Engineers
MAT2001 Statistics for Engineers
MAT2002 Applications of Differential and Difference Equations
MAT2003 Operations Research
MAT3002 Graph Theory and its Applications
MAT3003 Complex Variables and Partial Differential Equations
MAT3004 Applied Linear Algebra
MAT3005 Applied Numerical Methods
MAT3008 Linear Algebra and Transform Techniques
MAT5015 Mathematics for Engineers


The  Mathematics Division also facilitates M.Tech  programmes by offering core Mathematics/Statistics Courses.

Course Code Course name
MAT5002 Mathematics for Computer Engineering
MAT5003 Methods of Applied Mathematics
MAT5005 Advanced Mathematical Methods
MAT5006 Mathematics for Communication Engineering
MAT5007 Applied Statistical Methods
MAT6001 Advanced statistical methods

Under Graduate Programmes

B.Sc. Mathematics and Computing
Bachelor of Science – Physics / Chemistry / Mathematics (2 Majors and 1 Ancillary)

Post Graduate Programme

M.Sc Data Science

Scope of Employment

  •  Data Analyst
  •  Business Analyst
  •  Data Visualisation Engineer
  • Internal Data Science Consultant
  • New roles in all sectors that are experiencing digital transformation




  • The Division of Mathematics offers full-time Ph.D programmes in Mathematics which are inter/ multi and transdisciplinary in nature. The program starts with a mandatory course work scheme decided by the expert panel. With the state of the art facilities, opportunities are immense for scholars to choose the area of research under the able supervision of our faculty. To ascertain and assess the research goal, several research meetings take place to advise and mentor the scholars towards excellent research output. Finally, a thesis is submitted as a mandatory component for evaluation by experts in India and abroad before awarding the degree. Some of the main research areas of our faculty are listed below:
  • Automata Theory
  • Complex Analysis
  • Computational Fluid Dynamics
  • Cosmology
  • Data/Text Mining and Clustering
  • Differential Equations
  • Dynamical systems and fractals
  • Fixed point theory and its applications
  • Fluid Mechanics
  • Formal Languages
  • Fractional Differential Equations
  • Fuzzy Logic
  • Fuzzy Topology and Topology
  • Geometric Function Theory
  • Graph Theory
  • Invariant Theory
  • Link Analysis
  • Machine Learning Algorithms
  • Mathematical Biology
  • Neural Network and expert system
  • Nonlinear wave-wave interactions
  • Number Theory
  • Numerical Techniques
  • Optimization Techniques
  • Potential Theory
  • Queuing Theory
  • Random Fourier Series
  • Representation Theory
  • Soft Computing
  • Spectral Graph Theory
  • Statistical Techniques
  • Theoretical Computer Science
  • Combinatorics
  • Fluid Dynamics, Viscoelastic fluids, Boundary layer theory
  • Parikh matrices & Formal Language Theory
  • Relativity and Cosmology
  • Mathematical Modelling
  • Numerical Analysis and computer simulation