Master of Science in Mathematics
Admission Requirements
In addition to the requirements for admission to the College of Graduate Studies, applicants who wish to pursue master degree in the Department of Mathematics must have an undergraduate degree in mathematics or at least 30 undergraduate semester credits hours in mathematical sciences or closely related field with at least 18 of these credits in upper-level mathematics beyond Calculus. Additionally, the department may require a student to pass an entrance exam in the required core subject areas.
Program Requirements
The Master of Science in Mathematics has two areas of specialty: Pure Mathematics and Applied Mathematics. The Pure Mathematics includes the areas of Algebra, Analysis and Combinatorics. The Applied Mathematics specialty includes the areas of Computational Mathematics and Statistics.
In order to qualify for a Master of Science Degree in Mathematics:
- The candidate must successfully complete 15 semesters hours of core course work in Real Analysis I (MATH 530), Discrete Mathematics (MATH 510), Optimization Theory (MATH 592), Linear Algebra (MATH 525), and Differential Equations (MATH 548).
- The candidates must successfully complete the requirements in either a non-thesis option or thesis option track.
- Non-thesis option: In addition to the core courses, candidates in the non-thesis option track must successfully complete five elective courses and pass a comprehensive examination. The comprehensive examination will be based on the material covered in the core courses.
- Thesis option: In addition to the core courses, candidates in the thesis option track must successfully complete three elective courses and must complete two semesters of MATH 599 - Research and Thesis course in accordance with the policy stated in the University's graduate catalog by writing a master's thesis on research topic chosen by the candidate and approved by the candidate's advisor.
Research Interests of the Mathematics Graduate Faculty
|
Mohammad Tabanjeh |
Algebraic and numerical computations with dense structured matrices, fast algorithms, polynomial systems, Generalized eigenvalue problems. |
|
Dawit Haile |
Game Theory, Graph Theory |
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Tariq Qazi |
Approximation Theory, Complex Analysis, Basic Hypergeometric Series and its applications. |
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Sergio Da Silva |
Algebraic combinatorics including topics in graph theory and Gröbner geometry, General interaction between algebraic geometry, commutative algebra, and combinatorics, Toric varieties, Schubert varieties, Hessenberg varieties, and Frobenius splittings. |
|
Sanwar Ahmad |
Inverse Problems in Medical Imaging, Iterative Methods for Nonlinear Optimization, Machine Learning in Image Reconstruction |
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Daniele Grandini |
Differential Geometry, Mathematical Physics, Generalized Geometry, Generalized Geometric Structures on Manifolds. |
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Francis Erebholo |
Statistical Analysis, Longitudinal Data Analysis, Missing Data, Repeated Measures, Correlated Generalized Linear Models, Logistic and Regressive Regression Modeling, Modeling Error, Analysis of Certain Numerical integration Schemes for Partial Differential Equations. |
|
Seyedehkhadijeh Azimi |
Mathematics Education, Definitions in Mathematics, Preservice Teacher Education, Technology Use in Mathematics Education, Research Experience for Undergraduate Students (REU), Interdisciplinary Mathematics |
|
Naha Farhat |
Optimal Design for Toxicological Studies, Design of Experiments and Statistical Inference and modelling |