Master of Science (M.S.)
Mathematics
Next Start Date May 11
Est.Program Length 27 months
Course Length 7 weeks
Credit Hours 36
Cost Per Credit $402*
Accreditation CAEP
Transfer Credits Accepted 9
* Instate tuition

M.S. in Mathematics Overview
Build your proficiency in teaching mathematics at advanced levels with our master’s in mathematics online program.
Shawnee State University Online Campus’s fully online master’s in mathematics program offers you a convenient path toward earning your degree — and advancing your career. Designed to meet the needs of working professionals, including licensed educators, the accelerated program will give you credentials to teach advanced mathematics at the high school, community college, or university level and to instruct dualcredit courses in high schools.
Topics of study for the master’s in mathematics online program include:
 Abstract algebra structures through vector spaces or group and ring theories
 Statistics principles related to applied linear regression
 Various calculus concepts, such as limits of functions, differentiation, and exponential functions
 Conducting and interpreting common multivariate statistical methods that may be used in educational research
As an online student enrolled in the online master’s in mathematics, you will experience individualized attention throughout your educational experience. With oneonone assistance from your professors who are dedicated to your success, you can earn your master’s degree in as little as 27 months. Since the program was designed with employed professionals in mind, you can complete your studies at a time and place that’s most convenient.
The M.S. in Mathematics is Designed for:
 High school teachers seeking the credentials needed to teach College Credit Plus courses.
 Current instructors who want to teach higherlevel mathematics.
 Students who wish to later pursue a doctoral degree.
Become Qualified
Earn the credentials to teach College Credit Plus courses.
Earn Your Degree Fast
Finish the online master’s program in 27 months.
WellRounded Education
Complete 36 credit hours of mathematics, probability, statistics, and research.

Courses and Requirements
14 Total Courses In This Program
With a total of 36 credit hours, our online master’s in mathematics explores various advanced topics in mathematics and applied research. The program can be tailored to suit your goals as you select five courses for core requirements and four mathematical electives, as well as complete nine credit hours of applied research courses.
Select five courses:
Abstract Algebra 1
This course covers the mathematical structures of groups and rings. Group theory topics include groups, permutations, subgroups, isomorphisms, homomorphisms, and quotient groups, the Sylow theorems, and finite abelian groups are covered. Ring theory topics include homorophisms, ideals, quotient rings, Euclidean Domains, and polynomial rings.
Abstract Algebra 2
This course covers the mathematical structures of vector spaces, modules, fields, and linear transformations. Topics include linear extension fields, Galois Theory, and canonical forms of linear transformations.
Regression I
This is an applied linear regression course that will initially focus on strengthening the student’s undergraduate background in statistics. Topics for this section will include: sampling distributions, point estimates, confidence intervals, hypothesis testing, ANOVA, and sample size calculations. The second part of the course will introduce maximum likelihood estimation and topics in linear and nonlinear regression. The course will blend handson data analysis and a theoretical framework.
Regression II
This is a second course in applied linear regression. Topics will include: logistic regression, diagnostic procedures, general linear Ftests and sequential sum of squares, multicollinearity, piecewise regression, selection of the best subset of predictors, more advanced diagnostic procedures, and nonparametric regression. The course will blend handson data analysis and a theoretical framework.
Mathematical Analysis I
This is the first course in a twosequence course that is an indepth exploration of Calculus topics in an abstract setting. Topics include the real number system, metric spaces, compact sets, sequences, limits of functions, and continuous functions.
Mathematical Analysis II
This is the second course in a twosequence course that is an indepth exploration of Calculus topics in an abstract setting. Topics include series of real numbers, differentiation, Riemann Stieltjes integral, convergence of sequence and series of functions, analytic functions, and examinations of some special functions such as exponential, logarithmic, trigonometric, and gamma function.
Select four courses:
Advanced Linear Algebra
The study of vector spaces and related concepts such as span, linear independence, matrices, linear transformations, invariant subspaces and eigenspaces of a single linear operator. Additional topics such as inner product spaces, canonical forms, and error correcting codes may be included.
Foundations of Geometry
Rigorous study of Euclidean and nonEuclidean geometry from an axiomatic point of view. Examination of the axiomatic approach, and its role in organizing mathematical knowledge. The history of the development of nonEuclidean geometry, and an introduction to transformational geometry.
Number Theory
This course investigates the properties of the natural numbers and integers. Topics include factorization, Euclidean algorithm, Diophantine equations, congruence, and divisibility.
Probability I
This course begins with detailed review of basic probability including single random variables and jointly distributed random variables. Conditional probability, conditional expectation, and applications are included. Markov Chains and applications are also covered. Poisson processes are also covered if time permits.
Complex Variables
General Algebra of complex numbers, analytic functions, mappings, Cauchy Integral theory, Residue theory, and applications.
Topology
Concepts of general topological space, metric space. Compact and connected subsets. Separation axioms. Additional topics as time permits.
Abstract Algebra 2 (if not used in the Core Requirements)
This course covers the mathematical structures of vector spaces, modules, fields, and linear transformations. Topics include linear extension fields, Galois Theory, and canonical forms of linear transformations.
Regression II (if not used in the Core Requirements)
This is a second course in applied linear regression. Topics will include: logistic regression, diagnostic procedures, general linear Ftests and sequential sum of squares, multicollinearity, piecewise regression, selection of the best subset of predictors, more advanced diagnostic procedures, and nonparametric regression. The course will blend handson data analysis and a theoretical framework.
Mathematical Analysis II (if not used in the Core Requirements)
This is the second course in a twosequence course that is an indepth exploration of Calculus topics in an abstract setting. Topics include series of real numbers, differentiation, Riemann Stieltjes integral, convergence of sequence and series of functions, analytic functions, and examinations of some special functions such as exponential, logarithmic, trigonometric, and gamma function.
Quantitative Methods I
This course will introduce students to multivariate statistical methods that may be used in education research. The focus of the class will be on conducting, interpreting, and presenting the results for common multivariate statistical procedures, such as independent and dependent samples ttests, ANOVA, two and threeway ANOVA, chisquare tests of independence and goodness of fit, ANCOVA, and repeated measures ANOVA.
Quantitative Methods II and Test Theory*
This course is a continuation of MATH 6610 Quantitative Methods I. In this course, students will be introduced to additional multivariate statistical methods that may be used in education research such as MANOVA, MANCOVA, and nonparametric techniques. Students will also be introduced to measurement concepts and modern test theory, primarily focusing on Classical Test Theory and Item Response Theory including issues central to measurement such as reliability, validity, test construction, and equating.
Applied Research I*
This is the initial course of a 3course, 5hour sequence, in which students will be introduced to the research process for program and/or course improvements in mathematics education. The overarching goal is to provide students with the knowledge, skills, and understanding necessary to evaluate and carry out rigorous research in mathematics education. During this course sequence, students will decide a research project topic, collect and analyze their data, and present their findings orally and in writing.
Applied Research II*
This is the second course of research sequence, in which students implement their research proposal that was approved in MATH6996, Research I.
Applied Research III*
This is the final course of the research sequence, in which students implement their action research project that is geared toward program improvement in mathematics education.
*Class can only be taken by degreeseeking students.
Admission Requirements
Before applying for this program, you must have:
 A bachelor’s degree in mathematics or related field with a minimum 2.75 GPA
 An ideal applicant has completed the calculus sequence and three proofbased math courses with grades of B or higher in each.
 If any of the above are not satisfied, conditional acceptance will be considered
*If the applicant does not have a bachelor’s degree in mathematics or a related field or does not meet the minimum grade standard for the calculus sequence and proofbased math courses then the student is still encouraged to submit their application for conditional acceptance status. Students who are conditionally accepted may be required to enroll in an undergraduate course (or courses) in which they will have the opportunity to strengthen their background in undergraduate mathematics before enrolling in graduate level mathematics.
How to Apply
In order to apply for admission into our master’s in mathematics online program, please contact an enrollment counselor and submit the following:
 Completed application
 Transcripts from a bachelor’s degree from an accredited institution
 A resume
 A personal statement regarding professional goals
 Two letters of recommendation

Costs & Financial Aid
The M.S. in Mathematics online program is offered at a tuition rate of $402 per credit hour for instate students and $412 per credit hour for outofstate students. Nine credits may be transferred into the program.
Component Cost Total* Full Program Tuition $402 per credit hour $14,472 Total $14,472 Tuition with Maximum Transfer Credits (Up to 9) $402 per credit hour $10,854 Total with Transfer Credits $10,854 Component Cost Total* Full Program Tuition $412 per credit hour $14,832 Total $14,832 Tuition with Maximum Transfer Credits (Up to 9) $412 per credit hour $11,124 Total $11,124 Time to completion varies by student, depending on individual progress and credits transferred, if applicable. Fees are charged per semester unless otherwise noted. This program takes five semesters to complete, depending on transfer credits. For a personalized estimate of time to completion, call an enrollment advisor at 8558150323 or request more information.
* Tuition and fees are subject to change.Financial Aid
To help make your online education more affordable, Shawnee State offers financial aid in the form of loans, scholarships, and grants. If you have questions, our experienced enrollment counselors and tuition planners will assist you through the process.
Learn More About Financial AidMilitary Students
At Shawnee State, we want those who have served our country to get the education they deserve. As a veteran or current member of the U.S. military, you can receive federal and state educational benefits through the VA, and we will provide you with guidance and support throughout your online education.
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Career Outcomes
The online master’s in mathematics will equip you with the skills needed to pursue a variety of careers, such as:
Salary and job growth information from the Bureau of Labor Statistics.
 Responsible for teaching students a variety of subjects beyond the high school level, professors earn a median salary of $76,000 annually. Mathematics professors specifically earn a median annual salary of $70,910. Employment for postsecondary teachers is projected to grow 15 percent through 2026.
 A College Credit Plus high school teacher provides instruction on a variety of topics to help students earn both high school and college credits simultaneously. High school teachers earn a median salary of $59,170 per year, and employment for the field is expected to grow 8 percent through 2026.
 Advanced mathematics high school teachers may instruct calculus, algebra, or geometry to students in grades nine through 12. Through 2026, employment for high school teachers is projected to grow 8 percent, and the median annual salary is $59,170.