PhD in Mathematics and Scientific Computing

Department

Mathematics

Level

Postgraduate

College

College of Computer Sciences & Information Systems

Course Detail

The PhD in Mathematics program is designed to provide advanced training in both theoretical and applied aspects of mathematics, preparing scholars to
contribute to research, innovation, and evidence-based problem solving across academia, industry, and government. The Department has a diverse faculty
with expertise spanning pure and applied mathematics, offering students a wide range of specialized subjects and research areas to choose from according to their
academic interests and career goals. The program aims to develop researchers capable of advancing mathematical theory, formulating innovative models and
methods, and conducting high-quality scientific investigations to address contemporary challenges. While individual researchers may pursue different areas
of specialization, the program emphasizes rigorous coursework and excellence in research, encouraging publications in reputable international conferences and
HEC-recognized journals. The coursework and research requirements are structured in accordance with HEC criteria to ensure the highest academic standards.

Applicants seeking admission to the PhD in Mathematics program must possess an M.Phil./M.S. in Mathematics or an equivalent qualification from an HECrecognized institution and meet the following criteria:
• A minimum CGPA of 3.00 on a scale of 4.00, or at least 60% marks, or an equivalent qualification.
• A minimum of 18 years of education corresponding to an M.S./M.Phil.
degree or an equivalent qualification in Mathematics or a closely related discipline from an HEC-recognized institution.
• A valid score of at least 60% in the GRE (Subject), GAT (Subject) conducted by NTS, or an equivalent test in the relevant discipline, as prescribed by HEC.
• Successful completion of an interview conducted by the Department.
• Fulfillment of all other admission requirements stipulated by the Higher Education Commission (HEC) of Pakistan.

The PhD in Mathematics requires the successful completion of coursework and a dissertation/thesis. The minimum duration of the program is three years, while the maximum duration is five years.
• The coursework component consists of six graduate-level courses carrying a total of 18 credit hours.
• Upon successful completion and defense of the dissertation/thesis, the student is awarded 30 credit hours.

In addition to the completion of coursework and dissertation/thesis credits, a PhD student must fulfill the following requirements:
• Pass the Comprehensive Examination.
• Develop and submit a PhD Proposal/Synopsis.
• Successfully defend the PhD Proposal/Synopsis.
• Obtain approval of the PhD Proposal/Synopsis from the Board of Advanced Studies and Research (BASR).
• Maintain continuous enrollment in supervised research courses to satisfy the full-time residency requirements.
• Complete the PhD Dissertation/Thesis under the supervision of the assigned research supervisor(s).
• Obtain BASR approval for the selection of external evaluators.
• Publish at least one research paper in an ISI-indexed or HEC-recognized
journal, or provide an official acceptance letter for publication.
• Secure evaluation of the PhD Dissertation/Thesis by two foreign experts from developed countries in accordance with HEC criteria.
• Incorporate the recommendations of the evaluators and finalize the Dissertation/Thesis.
• Successfully defend the Dissertation/Thesis in an open public defense.
• Fulfill any other requirements stipulated by the Higher Education Commission (HEC) from time to time.
• Submit the final approved version of the Dissertation/Thesis to BASR

Upon successful completion of the PhD in Mathematics program, graduates will be able to:
• Demonstrate an in-depth understanding of advanced mathematical theories and conduct high-quality, original research.
• Lead and manage independent and collaborative research projects effectively.
• Support and actively participate in academic, governmental, and industrial research and development projects.
• Apply mathematical theories, models, and analytical techniques to address and solve real-world problems.

• Faculty positions in universities.
• Industrial research and development (R&D) roles
• Scientific consulting and interdisciplinary research careers.
• Computational mechanics expert.
• Specialist in mathematical analysis for multidisciplinary applications.
• Specialist in algorithm design and computational mathematics.
• Data scientist and machine learning researcher.
• Specialist in computational fluid dynamics (CFD) and simulation

Core Course
Courses Credit Hours
Research Methodology 3+0
Elective Courses

Elective CoursesCredit Hours
MAT701 Convex and Stochastic Optimization3
MAT702 Mathematical Analysis of Machine Learning Algorithms3
STS802 Advanced Mathematical Statistics3
MAT703 Continuum Mechanics3
MAT704 Advanced Numerical Computing3
MAT804 Advanced Partial Differential Equations3
MAT805 Advanced Topics in Number Theory3
MAT706 Linear Algebra and Lie Algebra3
MAT706 Applied Matrix Theory3
MAT707 Numerical Methods for PDEs3
MAT708 Topics in Inverse Problems3
MAT709 Topics in Numerical Differential Equations3
STS801 Advanced Statistical Computing & Graphics3
STS702 Nonlinear and Integer Programming3+0
MAT710 Stochastic Differential Equations (SDEs)3+0
MAT801 Advanced Fluid Dynamics3+0
MAT802 Advanced Modeling and Simulation3+0
MAT711 Mathematical Economics3+0
MAT712 Quantum Finance3+0
MAT713 Mathematics of Fuzzy Sets and Fuzzy Logic3+0
MAT714 Topological Data Analysis3+0
MAT803 Advanced Dynamical Systems3+0
MAT715 Calculus of Variations3+0
MAT716 Optimization Methods3+0
MAT921 Research Thesis (3 Units) 
MAT922 Research Thesis (6 Units) 
MAT923 Research Thesis (9 Units)30