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 (Statistics & Scientific Computing)

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

 

MS (Statistics & Scientific Computations)

Required Courses

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

Elective Course

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