Wallace Building
photo by Cindy Greenwell

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The Department of Mathematics and Statistics offers the Master of Science degree in Mathematical Sciences. Students may follow a General Program or elect an option in Mathematics, Statistics, or Computer Science. All students are required to take five of the seven core courses which include Topology, two courses in Algebra, Real Analysis, Complex Analysis, Data Structures and Algorithms, and Mathematical Statistics. Introductory courses in both Computer Science and Statistics are offered to graduate students who need additional preparation in order to pursue the options in those areas. Full admission to the graduate program requires an acceptable score on the GRE as well as a baccalaureate degree from an accredited institution with an acceptable undergraduate grade point average. In addition, applicants must have an undergraduate preparation in mathematics sufficient to satisfy the prerequisites of the core courses in mathematics (for example, twelve hours of calculus and courses in linear algebra, modern algebra, and real analysis would be sufficient.) Applicants who do not have this preparation may be admitted provisionally and take the undergraduate courses needed to strengthen their backgrounds.

The Department also cooperates with the College of Education in offering the Master of Arts in Education with emphasis in Mathematics or in Computer Science. Various courses are offered which will meet the needs of these students as well as those who seek Rank I or Rank II certification. It is possible for a student to receive both the M.S. Degree in Mathematical Sciences and either the M.A. Degree in Mathematics Education or Computer Science Education while attaining Rank I and II Certification

While satisfying the core requirements, students take thirty credits in the Mathematical Sciences. At least fifteen of these must be in Mathematics and no more than twelve credits in either Computer Science or Statistics. A thesis option is also possible with this program.


While satisfying the core requirements, students take at least twenty-one credits of Mathematics courses including: Point Set Topology, Modern Algebra, Modern Algebra II, Real Analysis, and one of Complex Analysis or Applications of Complex Analysis. Other topics include: Number Theory, Applied Mathematics, Graph Theory, Numerical Analysis, and Seminar in Mathematics. The remainder of the program consists of three additional courses in the Mathematical Sciences. A thesis option is also possible with this program.


In addition to the core courses, students take a second semester of Mathematical Statistics and choose two courses from Nonparametric Statistics, Statistical Methods using SAS, Experimental Design, or Seminar in Statistics. The remainder of the program consists of two elective courses in Mathematics. Various statistical packages including SAS, SPSS, and ASP, are available through the campus computer network.


In addition to the core courses, students take a second semester of Data Structures and Algorithms and choose two courses from Database Systems, Software Engineering, Artificial Intelligence, Parallel Algorithms, or Seminar in Computer Science. To complete the program, students choose two elective courses in Mathematics. The Computer Science Laboratory consists of a Unix based network of computer systems and a variety of personal computers. Students can also use the campus network to access the VAX Alpha and 3400 computers operated by Information Technology & Delivery Services.

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• Robert Buskirk, PhD, 1992, University of Kentucky, topology.
• Vincent Castellana, PhD 2006, Auburn University, Combinatorics and Graph Theory
• Patricia S. Costello, PhD, 1983, Ohio State University, statistics.
• Patrick J. Costello, PhD, 1982, Ohio State University, number theory.
• Matt Cropper, PhD 1998, West Virginia University, Combinatorics and Graph Theory
• Kenneth Dutch, PhD 1997, Stanford University, Algebraic Topology, Financial Securities Markets and Securities Price Dynamics
  
• Jason Gibson, PhD 1973, University of Illinois, Number Theory
• Don Greenwell , PhD, 1973, Vanderbilt University, graph theory.
• Kirk Jones , PhD, 1991, Iowa State University, complex analysis.
• Lisa Kay, PhD, 1997, University of Kentucky, statistics.
• Mary Liu, PhD 2005, University of Illinois, analysis and probability
• Kofi Maison, PhD, 1973, London University, algebraic topology.
• Scott C. Metcalf, PhD, 1981, University of Kentucky, topology, chaos theory.
• Robert R. Nelson, PhD, 1981, University of Pittsburgh, functional analysis.
• Shane Redmond, PhD, 2001, University of Tennessee, commutative ring theory.
• Dirk Schlingmann, PhD, 1988, Free University of Berlin, Germany, Set Theory.
• Michelle Smith, PhD, 2003, University of Kentucky, Statistics
• Robert Thomas, EdD, University of Central Florida, Curriculum and Instruction.
• BangTeng Xu, PhD 2001, Northern Illinois University, Representation Theory of Finite Groups.
• Margaret Yoder, PhD, 1995, University of South Florida, knot theory, braids.

Teaching assistantships are available for qualified students. Assistantships may be awarded to students seeking either the Master of Science or the Master of Arts degree. The assistantship stipend includes remission of out-of-state tuition (see tuition information).

Information AND Applications

Additional information and applications may be obtained by writing:
Dr. Dirk Schlingmann, Chair
Department of Mathematics and Statistics
Wallace 318
Eastern Kentucky University
Richmond, KY 40475-3133
via e-mail:Dirk.Schlingmann@eku.edu.

or Dr. Matt Cropper, Graduate Advisor
Department of Mathematics and Statistics
Wallace 306
Eastern Kentucky University
Richmond, KY 40475-3133
via e-mail:Matt.Cropper@eku.edu.

or Dean of The Graduate School
Coates Box 5-A
Eastern kentucky University
Richmond, KY 40475-3101
Graduate School Homepage