#### Program Overview

The Master of Science option is primarily a program in applied mathematics. It provides an alternative to the traditional MS degree in mathematics. The program is designed to serve those interested in the application of mathematics in industry, business, and government. The program stresses the development, analysis, and evaluation of mathematical models of real-world problems and those areas of pure and applied mathematics that are germane to this process.

#### Admission Requirements

**Prerequisites: **baccalaureate degree in mathematics, engineering, or another scientific or technical area; and should have completed a sequence in calculus and analytic geometry, as well as courses in linear algebra and differential equations; and at least eight credits in junior-or senior-level mathematics courses.

**Minimum G.P.A**: 2.75

**GRE Requirement**: Not Required

#### Degree Completion Requirements

MS degree candidates must earn 36 credit hours distributed as follows:

**Required Introductory course**

*(4 credits)*

· MTH 514 - Linear Algebra And Functions Of Several Variables

**Electives**

*(28 credits)*

**Any 7 of the following courses:**

· MTH 516 - Complex Analysis

· MTH 521 - Time Series Analysis

· MTH 520 - Combinatorial Mathematics

· MTH 524 - Applications of Probability

· MTH 525 - Mathematical Methods In Engineering And Science I

· MTH 531 - Categorical Data Analysis

· MTH 534 - Differential Geometry

· MTH 537 - Operations Research I

· MTH 567 - Applied Linear Models I

· MTH 571 - Statistical Methods for Genetic Data

· MTH 577 - Numerical Methods I

· MTH 587 - Dynamical Systems

· MTH 593 - Special Topics In Mathematics

· MTH 693 - Special Topics In Mathematics

· MTH 597 - Readings In Mathematics

· MTH 697 - Readings In Mathematics

· MTH 626 - Mathematical Methods In Engineering And Science II

· MTH 638 - Operations Research II

· MTH 668 - Applied Linear Models II

· MTH 675 - Applied Multivariate Statistics

· MTH 678 - Numerical Methods II

**Note:**

Upto eight credits of approved courses at or above the 400-level, offered by other departments

**Exit Requirements**

*(4 credits)*

· **MTH 696 - MATHEMATICS EXIT PROJECT**

**Scheduling of Courses**

Courses in the Master of Science program are offered in the evening during the academic year only. Courses are scheduled as indicated below. Other courses also may be offered. It is highly recommended that students complete MTH 514 in their first year of study.

With department approval, students may apply a maximum of eight 400-level credits taken as a Graduate Student at Cleveland State offered by a department other than Mathematics toward a master’s degree in Mathematics.

#### Faculty Research

Mathematics faculty members are active in many areas of research in pure and applied mathematics, including algebra, algebraic geometry, algebraic topology, applied mathematics (especially numerical analysis, ordinary and partial differential equations, and fluid dynamics), computer science, functional analysis, general topology, harmonic analysis, mathematics education, operator theory, probability theory, and statistics. Some department members are the authors of widely used mathematics textbooks, both graduate and undergraduate.

Current faculty information can be located on the Cleveland State University Faculty Profile page.

#### Financial Assistance

A limited number of graduate assistantships and tuition grants are available to qualified students. Assistantships include a stipend and tuition support. Contact the Department of Mathematics for further information. (See the section on Financial Aid and Expenses: Graduate Assistantships in this Catalog.)

#### Career Information

The demand for people trained in mathematics will continue to grow because of the central role of mathematics in the physical sciences, in engineering, and in business. Qualified secondary school teachers of mathematics are in demand, as are applied mathematicians to work in industry and government. There are opportunities in statistics, actuarial work, operations research, and computer science fields that all require a solid background in mathematics.