Admission Process Open for AY 2022-23.

Jaypee Institute of Information Technology, Noida
  • JIIT
  • JIIT
  • JIIT

The Program

The role and usages of mathematics have increased manifold in the last few decades with the setting in of information revolution which has resulted in substantial changes in several other disciplines also. With the nation-wide thrust on information technology and the need for self-reliance in various important sectors, the scientists and engineers with advanced computing skills are on higher demands. Thus the expectations from mathematics from the point of view of teaching, learning, research and applications have increased manifolds and the skills in computational mathematics are needed more than ever before. Keeping this in mind, the Department of Mathematics JIIT Noida had introduced its M. Tech program in Applied and Computational Mathematics in the year 2008. So far Seven batches have been passed out. The alumni are well placed in various academic and research institutions of repute.

The curriculum and the course contents of the program are designed keeping in mind the interdisciplinary nature of the program. It provides a broad understanding of the different aspects of the pure and applied mathematics on one hand while their computer applications on the other. The lecture-based courses cover a wide spectrum of topics including advanced linear algebra, functional analysis, applied numerical methods, operations research, wavelets and its applications, fractals and chaos, linear statistical models etc. Some branches of mathematics like Number Theory, Wavelets, Fractals, etc. are now part of the main stream. This program is designed to strengthen and to substantially enhance the background and also to instil needed new effective communication skills in mathematics. It would be possible for a student to choose from areas like, Statistics, Operation Research, Numerical Mathematics and Computing. Students are also required to take suitable courses from engineering, science and humanity departments. The lab courses provide necessary training in advanced techniques of software and simulation. Experience and expertise gained in these labs, giving the students lab-based application oriented courses and the use of softwares such as Mathematica, Matlab, Maple, etc., will comprise an important feature of the program. An important component of the programme is its computational science dissertation project work that will be done by the student on any important and emerging topic.

The primary objective of this programme is to equip the students with advanced topics in Applied Mathematics; Computer Science and Advanced Computing Methods; Simulation and Modeling so that they can efficiently deal with the problems faced by industry and other sectors through knowledge of mathematics and scientific computation.

On the successful completion of this program the candidates will be better suited for the

  • Jobs in the software industry and in research laboratories (like ISRO, DRDO, NAL, etc.)
  • Academic career in institutions of science and technology.
  • Pursuing research leading to a Ph. D. Degree.
  • Taking up consultancy and special projects with industry and corporations.


Curriculum Structure - M.Tech - ACM for Academic Session 2018-19 onwards. -- Click Here

Curriculum Structure For Old Batches


Sr.No. Course Contact Hours Credits
  No. Title L T P Total  
1. 17M11MA111 Applied and Computational Linear Algebr 3 - - 3 3
2. 17M11MA112 Functional Analysis 3 - - 3 3
3.   Elective – I 3 - - 3 3
4.   Elective – II 3 - - 3 3
5.   Elective – III 3 - - 3 3
6.   Project Based Learning - I - - - - 2
7. 17M17MA171 Software Lab – 1 - - - - 3
    TOTAL         20

Elective Courses ( To be updated time to time )

1 17M1NMA132 Automata and Theory of Computation
2 18M12MA111 Advanced Operations Research
3 17M1NMA134 Advanced Differential Equations
4 17M1NMA135 Computer Programming and Simulation
5 18M12MA211 Linear Statistical Models
6 17M1NMA137 Integral Transforms

Project Based Learning – I

1.      Conformal transformations and their applications


Sr.No. Course Contact Hours Credits
  No. Title L T P Total  
1. 17M11MA211 Abstract Algebra and Applications 3 - - 3 3
2. 17M11MA212 Analytical Number Theory 3 - - 3 3
3.   Elective – V 3 - - 3 3
4.   Elective – VI 3 - - 3 3
5.   Elective – VII 3 - - 3 3
6.   Project Based Learning - II         2
7. 17M17MA271 Software Lab II - - - - 3
    TOTAL         20

Elective Courses ( To be updated time to time )

1 17M1NMA213 Advanced Numerical Techniques
2 17M1NMA214 Advanced Optimization Techniques
3 17M1NMA215 Calculus of Variations and Finite Element Method
4 17M1NMA216 Fractals and Chaos
5 17M1NMA217 Wavelets and Applications
6 17M1NMA218 Computational Fluid Dynamics

Project Based Learning – II

1.      Numerical solutions of initial and boundary value problems

2.      Applications of R-software in statistical analysis

3.      Solution of algebraic equations using Scilab


Sr.No. Course Contact Hours Credits
  No. Title L T P Total  

Seminar & Term Paper OR

Earn credits by transfer eg. MOOCs, Course Work at another Institute, Supervised Study

2.   Project Based Learning - III         4
3.   Dissertation /Industrial Project / Entrepreneurial Project         4
    TOTAL         12

Project Based Learning – III

1.    Contraction mapping and applications

Elective Courses ( To be updated time to time )



Sr.No. Course Contact Hours Credits
  No. Title L T P Total  
1.   Dissertation /Industrial Project/ Entrepreneurial Project - - - - 18
    TOTAL       - 18

Total Credits: 70