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.
Program Duration
Minimum: 1.5 years
Maximum: 3.5 years
Degree Requirements
Along with the completion of the thesis, the student must complete 24 Credit Hours of coursework with a minimum CGPA minimum 2.5
Along with the completion of the thesis, the student must complete 24 Credit Hours of coursework with a minimum CGPA minimum 2.5
The thesis evaluation and viva voce will be conducted by one external examiner (from a university in Pakistan other than the university of enrollment) and one internal examiner.
A Brief Overview
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.
Program Mission Statement
The main goal of introducing Master of Science 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 a job in public and private sector organizations with the skill set to the level where the students can effectively contribute to the following domain.
- Data Science and AI
- Medical research
- The actuarial profession
- Banking-Investment banking
- Banking – Retail Banking
- Finance Sector
- Computing and IT
- Engineering Sciences
- Management, Accountancy and Professional Service
- Operational Research
- Teaching
- Postgraduate Studies-PhD
Admission Eligibility Criteria
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Qualification: Four years of BS Mathematics with a Minimum CGPA of 2.00 out of 4.00 or Minimum Second division in M. Sc. or equivalent Grade by HEC recognized University / DAI (16 years of education in relevant discipline from an Institution recognized by HEC).
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Admission Test: GAT-General conducted by the National Testing Service with a minimum cumulative score of 50% or GRE (International). Subject Test with a 50 % percentile score will be required at the time of admission, OR HEC’s HAT/ Institute’s test as per prevalent HEC / Institute policy.
Focus Research Areas
- Pure Mathematics
- Applied Mathematics
- Computational Mathematics
Tentative Study Plan
| Category | Courses | Credits |
| Core Courses | 4 | 12 |
| Elective Courses | 4 | 12 |
| Thesis | --- | 6 |
| Total | 30 |
| Course | CH | Pre-Req. |
|---|---|---|
| Research Methodology | 1 | |
| Group Theory | 3 | |
| Integral Equations | 3 | |
| Advanced Numerical Methods | 3 | |
| 10 |
| Course | CH | Pre-Req. |
|---|---|---|
| Mathematical Techniques | 3 | |
| ODEs and Computational L.A. | 3 | |
| Advanced Mathematical Statistics | 3 | |
| 9 |
| Course | CH | Pre-Req. |
|---|---|---|
| Functional Analysis | 3 | |
| MS Thesis-1 | 3 | |
| 6 |
| Course | CH | Pre-Req. |
|---|---|---|
| Optimization Techniques | 3 | |
| MS Thesis-2 | 3 | |
| 6 | ||
| Total Credit Hours | 31 |
| MT6003 | Integral Equations |
| MT6004 | Functional Analysis |
| MT6005 | Partial Differential Equations |
| MT6006 | Group Theory |
| MT8004 | Mathematical Techniques |
| MT8005 | ODEs and Computational Linear Algebra |
| 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 |
| MT6999 | MS Thesis |