Mathematics and Statistics




College of Computer Science and Information Systems

Course Detail

The MS program in Mathematics & Scientific Computing develops rigorous foundational mathematical tools that help in careers as researchers and solution providers.

The MS program in Mathematics & Scientific Computing prepares students for careers in research, applications, and teaching. Students choose courses from two areas of concentration for their course work: Mathematics and Computations. Students are required to qualify successfully for eight courses (4 compulsories and 4 electives) each of 3 credit hours’ duration. On successful completion of MS, course work students will be allowed to work on a 6 credit hour thesis on a subject of their interest depending on the availability of the faculty. Students will be required to qualify for the Final (Comprehensive) Examination, as well as write and defend a thesis. The MS Program takes usually two years to complete and students must pass the GRE/NTS exam prior to completion of the degree.

MS Mathematics & Scientific Computing students learn to:

  • Develop a thorough understanding of mathematical methods before going to apply analytical skills to solve real-life problems.

  • Apply rigorous mathematical and computational skills used to handle problems to get meaningful results.

  • Establish and understand a connection between the techniques of mathematical analysis and scientific computing and their

    link with the real-life problems.


16 Years of education in Computer Science, Engineering, Mathematics, Statistics or any other relevant field. Minimum CGPA of 2.5 (on a scale of 4.0).

Program Requirements

MS requires completion of course work and dissertation/thesis. Minimum duration is 2 years and the maximum is 4 years:

  • MS course work requirements consist of six graduate-level courses (27 credit hours)

  • On completion of the dissertation/thesis, the student is awarded 33 credits

    A MS student must additionally complete the following requirements:

  • MS Proposal/Synopsis Development

  • MS Proposal/Synopsis Defense

  • BASR Approval of MS Proposal/Synopsis

  • Continuous enrollment in supervised research courses for meeting the full-time residency requirements

  • Completion of MS Dissertation/Thesis

  • Selection of External Evaluators by BASR

  • Evaluation of MS Dissertation by two external faculty members as per HEC criteria

  • Dissertation/Thesis Finalization

  • Open defense of MS dissertation

  • Any other HEC requirement

  • Final Dissertation/Thesis Submission to BASR

  • Use knowledge to apply mathematical and scientific computing techniques and algorithms to real-life problems to extract meaningful insights.
  • Acquisition of hands-on experience with relevant software tools, languages, data models, and environments for data process- ing.
  • Ability to communicate results of analysis effectively (visually and verbally) to a broad audience in the fields of biology, envi- ronment, finance and risk management, data science, business management, and other disciplines.
  1. Big Data Analyst
  2. Budget Analyst
  3. Business Metrics Analyst
  4. Economist
  5. Financial Analyst
  6. Operations research analyst

MTS609 Research Methodology
MTS613 Advanced Topics in Algebra
MTS616 Advanced Real Analysis
MTS617 Advanced Numerical Analysis
MTS618 Statistical Modeling and Computing

Mathematics Concentration (6 credit hours)

MTS612 Numerical Methods for ODEs and PDEs
MTS615  Dynamical System
MTS619 Special Topics in Mathematics
MTH621  Financial Mathematics
MTS627 Computational Fluid Dynamics
MTS629 Numerical Computing and Optimization
MTS631  Advance Functional Analysis

Computer Concentration (6 credit hours)

MTS622 Fundamental of Algorithms
MTS635  Information Retrieval and Data Mining
MTS657  Machine Learning
MTS623 Special Topics in Computing
MTS625 Advance design analysis and Algorithm


MTS691 Thesis I
MTS692 Thesis II

Semester One Semester Two Semester Three Semester Four
Research Methodology
Advanced Numerical Analysis
Advance Real Analysis
Statistical Modeling & Computing
Advanced Topics in Algebra
Mathematics Concentration I
Mathematics Concentration II
Computation Concentration I
Thesis I
 Computation Concentration I
Thesis II

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