Department of Mathematics
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Professor Gaston M. N'Guerekata
Chairperson
Carnegie 251
443.885.3964
Associate Professor Xiao-Xiong Gan,
Graduate Coordinator
Carnegie G66
443.885.3079
Objective
The cis designed for qualified students who contemplate pursuing graduate
work beyond the master's degree and for qualified secondary school teachers
who wish to improve their subject matter competence by earning a master's
degree in pure Mathematics.
Admission to Program
For unconditional admission, applicants must have earned a minimum undergraduate
academic average of 3.0 in their major area of study and not less than
3.0 average overall. In addition, applicants must present an undergraduate
major in mathematics or its equivalent, including at least 12 semester
hours above a year in calculus.
For conditional admission, applicants must have earned a minimum undergraduate
academic average of 2.5 in their major area of study, and not less than
2.5 average overall. In addition, applicants must present an undergraduate
major in mathematics or its equivalent, including at least 12 semester
hours above a year in calculus.
General Requirements for Degree
- Candidates for the Master of Arts degree in Mathematics must complete
a minimum of thirty (30) credit hours and submit an acceptable thesis.
- All candidates must pass a written comprehensive examination. This
examination will deal more with comprehension of ideas and concepts
than with taking inventory of manipulative skills.
Program of Study
| Required Courses (24 hours) |
Credits |
| MATH.505-506 |
Abstract Algebra I and II |
6 |
| MATH.521-522 |
Introduction to Analysis I and II |
6 |
| MATH.541 |
Point Set Topology |
3 |
| MATH.799 |
Thesis Seminar |
3 |
| Sub-total |
18 |
| Electives (6 hours) |
|
| MATH.501 |
Set Theory and Related Topics |
3 |
| MATH.512 |
Probability and Statistics |
3 |
| MATH.518 |
Modern Geometry |
3 |
| MATH.525 |
Theory of Numbers |
3 |
| MATH.527 |
Complex Analysis |
3 |
| MATH.551, 552 |
Algorithms and Computations I, II |
3 |
| MATH.555 |
Introduction to Functional Analysis |
3 |
| MATH.557 |
Foundation of Harmonic Analysis |
3 |
| MATH.559 |
Numerical Analysis |
3 |
| MATH.561 |
Mathematical Modeling |
3 |
| MATH.631 |
Biostatistics |
3 |
| MATH.633 |
Applied Regression and Correlation Analysis |
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| MATH.788-789 |
Supervised Research |
6 |
Electives may be chosen in computing, mathematical modeling, statistics,
and classical mathematical areas.
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