Department of Mathematics

Master of Science in Mathematics


SS-CASE-IT has a mission to contribute in the knowledge economy and industrial sector by producing graduates who can serve and lead the country by introducing best professional practices. SS CASE IT is significantly contributing in today's Knowledge Economy by providing current trend knowledge both at undergraduate and graduate level. Keeping in view the requirement of skilled manpower for the local multidisciplinary requirement both in industrial and managerial/ Finance sector and to fill the gap of basic sciences part in the existing engineering and applied science programs, SS CASE IT has launched Master of Science in Mathematics degree program under the Department of Science and Humanities. The main goal of introducing MS in Mathematics program is to provide an intensive preparation in the concepts and techniques related to the design and solution of application problems in the field of applied Mathematics in general and in the field of Computing, Data Science, Finance, Engineering and Applied Sciences in particular. In addition to that it would also yield the manpower with better built capacity for challenging R&D projects in their respective areas.

Employment prospective of the Program

This program will increase the prospects of job in the public and private sector organizations with skill set to the level where the students can effectively contribute to the following domain.

  1. Data Science and AI

  2. Medical research

  3. The actuarial profession

  4. Banking-Investment banking

  5. Banking - Retail Banking

  6. Finance Sector

  7. Computing and IT

  8. Engineering Sciences

  9. Management, Accountancy and Professional Service

  10. Operational Research

  11. Teaching

  12. Postgraduate Studies-PhD

Admission Eligibility Criteria

  1. Qualification : Four years BS Mathematics with Minimum CGPA 2.00 out of 4.00 or Minimum Second division in M. Sc. or equivalent Grade by HEC recognized University / DAI (16years of education in relevant discipline from Institution recognized by HEC).

  2. Admission Test : GAT-General conducted by the National Testing Service with a minimum cumulative score of 50% or GRE (International). Subject Test with 50 % percentile score will be required at the time of admission, OR HEC’s HAT/ Institute’s test as per prevalent HEC / Institute policy.


Minimum: 1.5 years
Maximum: 3.5 years

MS Degree Requirements

A student must complete a minimum of 30 credit hours and has to obtain a minimum CGPA of 2.5 to earn the degree along with completion of thesis.

Along with completion of thesis, the student must complete 24 Credit Hours course work with minimum CGPA minimum 2.5

Thesis evaluation and viva voce will be conducted by one external examiner (from a university in Pakistan other than university of enrollment) and one internal examiner.

Focus Research Areas
  1. Pure Mathematics

  2. Applied Mathematics

  3. Computational Mathematics

Course Structure and Credit Hours Requirement
Category Courses Credits
Core Courses 4 12
Elective Courses 4 12
Thesis --- 6
Total 30
Tentative Study Plan
Semester 1 Semester 2
Core Course - 1 3 Core Course – 3 3
Core Course - 2 3 Core Course – 4 3
Elective Course - 1 3 Elective Course – 2 3
Total credit –Hours 9 Total credit –Hours 9
Semester – 3 Semester – 4
Elective Course - 3 3 Elective Course – 4 3
Thesis - 1 3 Thesis - 2 3
Total credit -Hours 6 Total credit -Hours 6
List of Core Courses
MT6003 Integral Equations
MT6004 Functional Analysis
MT6005 Partial Differential Equations
MT6006 Group Theory
MT8004 Mathematical Techniques
MT8005 ODEs and Computational Linear Algebra
List of Key Elective Courses
MT8206 Group Theoretic Methods
MT8207 Operation Research
MT8209 Fuzzy Logic and Neural Networks
MT8210 Advanced Number Theory
MT6205 Mathematical Biology
MT6206 Probability and Stochastic Process
MT6208 Simulation and Modeling
MT6209 Finite Element Methods
MT6210 Methods in Digital Image Processing
MT6211 Non Linear Dynamics and Control theory
MT6212 Design of Experiments
MT6213 Fourier Analysis with Applications
MT8211 Cryptography and its applications
MT8212 Machine Learning Algorithms
MT8214 Fluid Dynamics
MT8215 Boundary Layer Theory: Applications And solutions
MT8219 Methods of Scientific Research
MT8217 Optimization Techniques
MT6306 Numerical Solution of Partial Differential Equations
MT6308 Monte Carlo Techniques for Simulations
MT6309 Time Series Analysis and Forecasting
MT6311 Financial Modeling and Management
MT6312 Financial Mathematics I
MT6313 Numerical Solution of Ordinary Differential Equations
MT6314 Computer Graphics
MT8304 Mathematical Modeling I
MT8305 Graph Theory
MT8307 Advanced Mathematical Statistics
MT8308 Discrete Mathematical Systems
MT8309 Financial Mathematics II
MT8310 Advanced Numerical Methods
MT8311 Big Data Analysis Techniques
MT8312 Computational Fluid Dynamics
MT8313 Special Topics in Mathematics
Project / Thesis
MT6999MS Thesis