克利夫蘭州立大學

The demand for people trained in mathematics and statistics will continue to grow because of the central role of both fields in science, engineering, health, and business.

The Master of Science in Mathematics is designed to provide a variety of graduate level mathematical options for students interested in a deeper understanding of theoretical and applied mathematics. Students graduating with this degree often pursue a Ph.D. in mathematics, teach secondary school mathematics, or seek employment as an actuary or analyst.

FACULTY RESEARCH

Faculty members are active in many areas of research in pure and applied mathematics, including algebraic geometry, algebraic topology, commutative algebra, coding theory, applied mathematics (especially numerical analysis, mathematical biology, ordinary and partial differential equations, and fluid dynamics), mathematics education, probability theory, and statistics. Some department members are the authors of widely used textbooks in mathematics and statistics, both graduate and undergraduate.

DEGREE REQUIREMENTS

In addition to meeting Graduate College requirements for the master's degree, 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) Only 4 combined credits from MTH 597 and MTH 697 may count towards the degree requirement of 28 elective credits. More than 4 credits may be taken but only the first 4 credits may be used to satisfy elective credits.

Any 7 of the following courses:

MTH 515 - Real Analysis
MTH 516 - Complex Analysis
MTH 520 - Combinatorial Mathematics
STA 521 - Time Series Analysis
STA 524 - Probability and Mathematical Statistics
MTH 525 - Mathematical Methods in Engineering and Science I
STA 531 - Categorical Data Analysis
MTH 534 - Differential Geometry
STA 536 - Design and Analysis of Experiments
MTH 537 - Operations Research I
STA 567 - Applied Regression Models
STA 571 - Statistical Methods for Genetic Data
MTH 577 - Numerical Methods I
MTH 587 - Dynamical Systems
MTH 591 - Financial Mathematics
MTH 593 - Special Topics In Mathematics
MTH 597 - Readings In Mathematics
MTH 626 - Mathematical Methods in Engineering and Science II
STA 635 - Statistical Consulting and Programming
MTH 638 - Operations Research II
STA 675 - Applied Multivariate Statistics
MTH 678 - Numerical Methods II
STA 685 - Advanced Data Models
STA 686 - Reliability and Survival Analysis
STA 687 - Bayesian Data Analysis
MTH 693 - Special Topics In Mathematics
MTH 697 - Readings In Mathematics