# Master of Science Graduate Program

## Master of Science (M.S.) Degree

The M.S. (general option) requires traditional courses in analysis, algebra, topology, and applied mathematics, and is recommended for students who wish to obtain a Ph. D. degree, to teach in a community college, or to seek employment in industry with an emphasis on conceptual foundations. The M.S. (computational option) is designed for students seeking employment in industry with an emphasis on computational mathematics and/or computer science.

Each option for the M.S. in Mathematics requires a minimum of 30 hours of graduate-level coursework. For admission to the Graduate College at WKU, click the following link for the Office of Graduate Studies. For more information about the Graduate Record Exam (GRE), click the following link for the Educational Testing Service. The GRE scoring system has changed since August 2011. If you have a old GRE score, then you need to convert it to the new score by using a table that can be found under the following link. The Department of Mathematics offers graduate assistantships for $9,000 per semester, part of which can be applied directly to tuition. The application form can be found at the link below. Note that Adobe Acrobat software must be used to fill out the form electronically.

#### Graduate Assistantship Application

## General Option

Students must meet the following criteria:

(1) satisfy one of the following conditions:

- have a GAP score of at least 600 [GAP = (GRE-V + GRE-Q) + (Undergraduate GPA x 100)], or a minimum GAP score of 3000 for students who took the GRE prior to August 2011, [GAP = GRE-V + GRE-Q) x Undergraduate GPA],
- have a GRE score of at least 300, or
- if students have graduated from WKU with a degree in mathematics, a GPA of at least 3.3 in their undergraduate major.

Note that for the top two bullets, WKU requires a minimum score of 139 on both the verbal and quantitative parts of the GRE. Also, students who took the GRE prior to 2002 should contact the graduate advisor for the program.

(2) successful completion of the following undergraduate courses:

(a) a one-year calculus sequence,

(b) linear algebra,

(c) discrete mathematics,

(d) an applied mathematics course (e.g. differential equations, probability, calculus-based
statistics, numerical analysis),

(e) abstract algebra.

(3) A cumulative grade point average of at least 3.0 (on a 4.0 scale) in at least one of the following:

(i) all mathematics courses that are applicable to the undergraduate mathematics
major; or

(ii) courses specified in (b) through (e) of Item 2 above.

The following courses are required:

- MATH 431G Intermediate Analysis I
- MATH 417G Algebraic Systems or MATH 439G Topology or MATH 435G Partial Differential Equations
- MATH 532 Real Analysis or MATH 550 Complex Analysis or MATH 535 Advanced Applied Mathematics I or MATH 541 Graph Theory

If equivalent courses were taken at the undergraduate level, then the student must substitute appropriate graduate mathematics courses selected in consultation with a Mathematics Department graduate advisor.

The remaining mathematics courses in the student's program must be chosen from MATH 405G, 406G, 415G, 417G, 423G, 435G, 439G, 450G, 470G, 500, 517, 529, 531, 532, 535, 536, 539, 540, 541, 542, 550, 560, 570, 590, STAT 549, or STAT 550. A maximum of 12 hours at the 400G-level may be included in the entire program.

In addition, all students in the M.S. program (general option) must have a working knowledge of a high-level programming language or computer algebra system. A student may, upon prior approval of the Mathematics Department Graduate Committee, include in his/her program a maximum of 6 hours of coursework from a related field. Comprehensive exams are required.

The research tool can be fulfilled in a variety of ways, some of which are listed below:

a) Taking the Math 598 Graduate Seminar (3 credit hrs.).

b) Graduate-level courses in other disciplines. The research tool course should be in disciplines that have a strong relation to mathematics. For example, any graduate-level course pre-approved by the student's graduate advisor will be accepted.

The research tool cannot be taking during the last semester.

## Computational Option

To be admitted to the M.S. program in the computational option, students must meet the following criteria:

(1) satisfy one of the following conditions:

- have a GAP score of at least 600 [GAP = (GRE-V + GRE-Q) + (Undergraduate GPA x 100)], or a minimum GAP score of 3000 for students who took the GRE prior to August 2011, [GAP = GRE-V + GRE-Q) x Undergraduate GPA],
- have a GRE score of at least 300, or
- if students have graduated from WKU with a degree in mathematics, a GPA of at least 3.3 in their undergraduate major.

Note that for the top two bullets, WKU requires a minimum score of 139 on both the verbal and quantitative parts of the GRE. Also, students who took the GRE prior to 2002 should contact the graduate advisor for the program.

(2) completion of the following undergraduate courses:

(a) a one year calculus sequence,

(b) linear algebra,

(c) discrete mathematics,

(d) a one year sequence of programming courses,

(e) a B.A. degree with a major in either computer science, engineering, mathematics,
or physics.

(3) A cumulative grade point average of at least 3.0 (on a 4.0 scale) in at least one of the following:

(i) all mathematics and computer science courses that are listed in (a) through (d)
of Item 2 above; or

(ii) all courses in the major listed in (e) of Item 2 above.

Students cannot enter the program if they have a deficiency in the courses listed in Item 2 above.

The following courses are required:

- MATH/CS 405G Numerical Analysis I

MATH 406G Numerical Analysis II

STAT 549 Statistical Methods I

MATH 470G Introduction to Operations Research

CS 549 Algorithms Analysis -
At least two courses from the list below are required:

CS 562 Parallel and Distributed Computing

CS 565 Data Mining Techniques and Tools

CS 595 Advanced Topics in computer science (with permission of advisor, i.e. depending what the topic of the course will be) - The remaining courses will be chosen from the list below:

MATH 431G Intermediate Analysis I

MATH 504 Computer Applications to Problems in Mathematics

MATH 540 Stochastic Processes

MATH 541 Graph Theory

MATH 542 Advanced Topics in Discrete Mathematics

MATH 570 Topics in Operations Research

MATH 590 Advanced Topics in Mathematics (with permission of advisor, i.e. depending what the topic of the course will be.)

STAT 550 Statistical Methods II

For further information, please contact Dr. Dominic Lanphier, (270) 745-6233,

or check out the graduate brochure link below.

Some of the links on this page may require additional software to view.