MS Mathematics and Scientific Computing

Department

Mathematics and Statistics

Level

Graduate

College

College of Computer Sciences & Information Systems

Program Details:

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 coursework: Mathematics and Computations. The program is designed in accordance with the guidelines of the Higher Education Commission (HEC). It spans a minimum duration of two years, comprising at least four semesters, and requires the successful completion of 32 credit hours. Students must maintain a CGPA of 3.0 for the conferment 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
  1. Use knowledge to apply mathematical and scientific computing techniques and algorithms to real-life problems to extract meaningful insights
  2. Acquisition of hands-on experience with relevant software tools, languages, data models, and environments for data processing
  3. Ability to communicate results of analysis effectively (visually and verbally) to a broad audience in the fields of biology, environment, 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

1.  Banking and Financial Institutions

2.  Investment and Asset Management Firms

3.  Government Economic and Statistical Agencies

4.  Consulting and Business Analytics Firms

5.  Technology Companies and Software Houses

6.  Research Organizations and Think Tanks

7.  Manufacturing and Industrial Organizations

8.  Universities and Higher Education Institutions

9.  Telecommunications and Energy Companies

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).

A student selected for admission having a degree other than mathematics may be required to study a maximum of FOUR courses as deficiency courses, which must be passed in the first two semesters. A student cannot register in MS courses unless all specified deficiency courses have been passed.

To fulfill the degree requirements, students must complete eight taught courses along with 6 credit hours of research thesis for MS by Thesis, or 6 credit hours of Independent Research Studies, namely IRS-I and IRS-II, for MS by Independent Research Study, or 6 credit hours through two courses, Elective IV and Elective V, each carrying 3 credit hours, for MS by Coursework. The MS by Coursework option shall be subject to the approval of the departmental committee. For MS Thesis requirement, the students must refer to the MS Policy Manual available at https://basr.iobm.edu.pk/ms-mphil-and-phd-policy-and-thesis/

Course Code
Course Title
Credit Hours

CSP 511

Research Methodology

3+0

MAT 601

Advanced Real Analysis

3+0

MAT 621

Advanced Numerical Analysis

3+0

STS611

Statistical Modeling and Computing

3+0

MAT 602

Advanced Topics in Algebra

3+0

Course Code

Course Title

Credit Hours

Course Code

Course Title

Credit Hours

Mathematics Concentration

MAT 622

Numerical Methods for ODEs and PDEs

3+0

MAT 623

Dynamical System

3+0

MAT 624

Advanced Numerical Linear Algebra

3+0

MAT 625

Computational Fluid Dynamics

3+0

MAT 626

Financial Mathematics

3+0

MAT 603

Advance Functional Analysis

3+0

MAT 627

Numerical Computing and Optimization

3+0

MAT 604

Special Topics in Mathematics

3+0

MAT 605

Advance Linear Algebra

3+0

MAT 606

Advance Partial Differential Equations

3+0

MAT 607

Introduction to Calculus of Variations

3+0

 

 

 

Computer Concentration

CSP 513

Special Topics in Computing

3+0

CSP 534

Fundamentals of Algorithms

3+0

CSP 535

Advanced Design Analysis and Algorithm

3+0

CSP 588

Machine Learning

3+0

CSP 585

Information Retrieval and Data Mining

3+0

 

 

 

Note: Students must select at least three electives from the above list

 

 

Course Code

Course Title

Credit Hours

Course Code

Course Title

Credit Hours

 

MAT 691

MS Thesis-I

6+0

MAT 692

MS Thesis – II

3+0

MAT 693

Independent Research Study – I

3+0

MAT 694

Independent Research Study – II

3+0

 

Note: Students must choose either the MS Thesis, the Independent Research Study, or two elective courses from the Elective Courses List. If a student opts for the MS Thesis, enrollment in MS Thesis–II is mandatory to maintain continuous registration until the thesis is formally submitted to the Board of Advanced Studies and Research (BASR) for further processing

MS Thesis–II ensures continuous registration until the student’s research thesis is formally submitted to BASR for further processing.

Course Structure

Semester One

Research Methodology

Advanced Real Analysis

Advanced Numerical Analysis

Elective I

Semester Two

Statistical Modeling and Computing

Advanced Topics in Algebra

Elective II

Elective III

 

Semester Three

IRS-1/ Elective IV */ MS Thesis-I

Understanding of Holy Quran-I **/ Comparative Religion-I **

Semester Four

IRS – II / and Elective V * / MS Thesis-II

Understanding of Holy Quran-II **/ Comparative Religion-II **

* Subject to the approval of departmental committee

** Muslim students are required to take Understanding of Holy Quran I (1 Credit hour) and Understanding of the Holy Quran II (1 Credit hour) and Non-Muslim students are required to take Comparative Religion-I and Comparative Religion-II.