The MS programs in Mathematics & Scientific Computing and in Statistics & Scientific Computing prepare students for careers in research, applications, and teaching. Students choose courses from two areas of concentration for their course work: Mathematics and Computations or Statistics and Computations. Students are required to successfully qualify eight courses (4 compulsory 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 interest and on the availability of the faculty. Students will be required to qualify Final (Comprehensive) Examination, as well as write and defend a thesis. The MS Program takes usually two years to complete and students must pass GRE/NTS exam prior to the completion of the degree.

Eligibility
  • 16 Years of education in Computer Science, Engineering, Mathematics or Statistics any relevant field.

Required Courses

MS (Mathematics & Scientific Computations)

Compulsory Courses (12 credit hours)
MTS614 Mathematical Statistics
MTS617 Advanced Numerical Computing
MTS615 Dynamical System
MTS618 Statistical Modeling and Computing

Elective Courses

Mathematics Concentration (6 credit hours)
MTS610  Calculus of Variation
MTS612  Numerical Methods for ODEs and PDEs
MTS620  Asymptotic Analysis
MTS626  Advance Convex Analysis
MTS628  Advance Numerical Optimization
MTS630  Advance Mathematical Physics
MTS632  Advance Variational Inequalities
MTS634  Advance Numerical Linear Algebra
MTS636  Advance Hilbert Space
MTS640  Symmetry Methods for Differential Equations
MTS641  Continuum Mechanics
MTS642  Geometric Methods in Mechanics and Physics
Computation Concentration (6 credit hours)
MTS629 Machine Learning and Pattern Recognition
MTS631 Production Quality Software
MTS633 Fundamental Algorithms
MTS635 Information Retrieval and Data Mining
MTS637 High Performance Computing
MTS639 Principles in Parallel Computing
MTS691/692 Thesis

Course Structure

MS (Mathematics & Scientific Computing)

Semester One Semester Two Semester Three Semester Four
Mathematical Statistics
Advanced Numerical Analysis
Dynamical Variable
Statistical Modeling & Computing
Mathematics Concentration I
Mathematics Concentration II
Computation Concentration I
Computation Concentration II
 Thesis (Mathematics Oriented) 6 credit hours

Required Courses

MS (Statistics &Scientific Computations)

Compulsory Courses (12 credit hours)
MTS609 Numerical Analysis
MTS614 Mathematical Statistics
MTS615 Dynamical System
MTS618 Statistical Modeling and Computing

Elective Course

Area  Course Code/Title
Statistics Concentration
(6 credit hours)
MTS643 Statistical Inference
MTS647 Advanced Design of Experiments
MTS653 Multivariate Statistics
MTS648 Time Series Analysis
MTS649 Stochastic Processes
MTS650 Applied Regression Models
MTS651 Theory and Practices of Forecasting
MTS652 Statistical Quality Control
Computation Concentration
(6 credit hours)
MTS643 Machine Learning and Pattern Recognition
MTS658 Production Quality Software
MTS659 Fundamental Algorithms
MTS660 Information Retrieval and Data Mining
MTS661 Simulation and Modeling
MTS662 Principles in Parallel Computing
MTS691/692 Thesis

Course Structure

MS (Statistics & Scientific Computing)

Semester One Semester TWO Semester Three Semester Four

Mathematical Statistics
Advanced Numerical Analysis
Advanced Statistical Inference

Statistical Modeling & Computing
Statistics Concentration I
Statistics Concentration II
Computation Concentration I
Computation Concentration II
Thesis (Statistics Oriented) 6 credit hours