克利夫蘭州立大學(xué)

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 with the Specialization in Applied Statistics provides students with a broad background in applied statistical methodology. Graduates from this program find employment in Northeast Ohio and beyond as statistical analysts. Statisticians work in both government, industry, and business.

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.

SPECIALIZATION IN APPLIED STATISTICS

This specialization is for students seeking development of skills in statistics and data analysis. Coursework can lead to employment in a variety of industries that seek quantitatively skilled employees with knowledge of statistical methodology.

REQUIRED COURSEWORK

In addition to MTH 514 and MTH 696 required of the MS in Mathematics,

STA 524, STA 567, either STA 536 or STA 531, and 3 courses at the 600 level.

Three 600 level from the list of courses available for the Specialization in Applied Statistics (STA 635, STA 675, STA 685, STA 686, STA 687)
STA 524 - Probability and Mathematical Statistics
STA 567 - Applied Regression Models
Either STA 536 - Design and Analysis of Experiments or STA 531 - Categorical Data Analysis

STUDENTS MUST MEET THE REQUIREMENTS OF THE MS DEGREE IN MATHEMATICS.

The MS in Mathematics is earned by completing the following courses and earning 36 credit hours.

MTH 514 - Linear Algebra and Functions of Several Variables
MTH 696 - Mathematics Exit Project

IN ADDITION TO THE ABOVE, THE STUDENT WOULD EARN 4 ELECTIVE CREDITS BY ENROLLING IN THE FOLLOWING:

Four credits must be earned from the courses below (that have not been taken as part of the required courses).

STA 521 - Time Series Analysis
STA 531 - Categorical Data Analysis
STA 536 - Design and Analysis of Experiments
MTH 537 - Operations Research I
MTH 591 - Financial Mathematics
MTH 593 - Special Topics In Mathematics
MTH 597 - Readings In Mathematics
STA 635 - Statistical Consulting and Programming
STA 675 - Applied Multivariate Statistics
STA 685 - Advanced Data Models
STA 686 - Reliability and Survival Analysis
STA 687 - Bayesian Data Analysis
MTH 697 - Readings In Mathematics
Or up to four credits pre-approved by the graduate advisor from another department.

THE FOLLOWING SCHEDULE OF CLASSES WOULD ALLOW STUDENTS TO COMPLETE THE SPECIALIZATION IN A 2-YEAR PERIOD.

FALL YEAR 1

MTH 514 - Linear Algebra and Functions of Several Variables
STA 567 - Applied Regression Models

SPRING YEAR 1

STA 536 - Design and Analysis of Experiments
STA 524 - Probability and Mathematical Statistics

FALL YEAR 2

One elective
STA 675 - Applied Multivariate Statistics

SPRING YEAR 2

600 level course
Elective
MTH 696 - Mathematics Exit Project