Mathematical and Statistical Sciences, M.S.

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The graduate plan in Mathematical and Statistical Sciences leads to the Master of Science degree. Successful applicants to the graduate program will typically have a bachelor’s degree in Mathematics, Statistics, Data Science, Math Education, or related fields.

Without an undergraduate degree in these majors, an applicant will be considered if the applicant’s preparation includes a substantial number of advanced credits in relation to Mathematics, Statistics, Data Science, or Math Education. Depending on prior coursework, applicants may be accepted as graduate students with the condition that they successfully complete additional preparatory courses. In that case, some credits from certain 4000-level course(s) may count toward the graduate degree.

Undergraduate foundation courses for the Master of Science in Mathematical and Statistical Sciences

-Passed (with a grade C or better) at least 3 of the following courses

Calculus 2
Introduction to Linear Algebra
Ordinary Differential Equations
Advanced Calculus
Introduction to Probability
Introduction to Statistics
Introduction to Data Science

Course selections will be arranged in consultation with a faculty advisor while preparing the CPS (Candidate Plan of Study).

Degree Requirements (30 hours)

Students will choose one of the specializations and complete 24 credit hours of course work, and in addition choose either research project or thesis option to complete 6 credit hours.

Enrollment of 4000-level course will require the approval of faculty advisor or program director.

Mathematics Specialization (24 hours)

Required Courses (18 hours)

MATH 5132 - Applied Analysis Credit Hours: 3
MATH 5136 - Differential Equations and Dynamical Systems Credit Hours: 3
MATH 5231 - Linear Algebra Credit Hours: 3
MATH 5330 - Mathematical Software and Modeling Simulation Credit Hours: 3
MATH 5333 - Numerical Analysis Credit Hours: 3
MATH 5432 - Optimization Credit Hours: 3

Elective Courses (6 hours)

-Select up to two STAT 5000 level graduate courses

-Select up to one DASC 5000 level graduate course with the approval of faculty advisor

-Select up to one MATH/STAT 4000 level course with the approval of faculty advisor

Statistics Specialization (24 hours)

Required Courses (18 hours)

STAT 5135 - Applied Statistical Methods Credit Hours: 3
STAT 5532 - Linear Models and Regression Analysis Credit Hours: 3
STAT 5533 - Statistical Computing Credit Hours: 3
STAT 5535 - Experimental Designs and Analysis Credit Hours: 3
STAT 5537 - Elements of Statistical Learning Credit Hours: 3
STAT 5635 - Applied Time Series Analysis Credit Hours: 3

Elective Courses (6 hours)

-Select up to two MATH 5000 level graduate courses

-Select up to one DASC 5000 level graduate course with the approval of faculty advisor

-Select up to one MATH/STAT 4000 level course with the approval of faculty advisor

Data Science and Analytics Specialization (24 hours)

Required Courses (18 hours)

MATH 5231 - Linear Algebra Credit Hours: 3
STAT 5135 - Applied Statistical Methods Credit Hours: 3
STAT 5532 - Linear Models and Regression Analysis Credit Hours: 3
DASC 5133 - Introduction to Data Science Credit Hours: 3
DASC 5231 - Data Visualization Credit Hours: 3
DASC 5431 - Data Analytics and Machine Learning Credit Hours: 3

Elective Courses (6 hours)

-Select up to two MATH/STAT 5000 level graduate courses

-Select up to one DASC 5000 level graduate course with the approval of faculty advisor

-Select up to one MATH/STAT 4000 level course with the approval of faculty advisor

Mathematics Education Specialization (24 hours)

Required Courses (15 hours)

Choose 5 courses from the following list.

MATH 5030 - Current Issues in Mathematics Education Credit Hours: 3
MATH 5031 - Teaching Mathematics via Problem Solving Credit Hours: 3
MATH 5033 - Teaching of Algebra Credit Hours: 3
MATH 5034 - Teaching of Geometry Credit Hours: 3
MATH 5035 - Teaching of Precalculus Grades 10-14 Credit Hours: 3
MATH 5036 - Teaching of Calculus Grades 10-14 Credit Hours: 3
MATH 5037 - Teaching Mathematics with Technology Credit Hours: 3

Elective Courses (9 hours)

-Select up to three MATH 5000-level courses, excluding MATH50XX courses and MATH60XX courses.

-Select up to one STAT 5000-level course. STAT 5135 (Applied Statistical Methods) is recommended.

-Select up to one 4000-level MATH course with the approval of faculty advisor or program director.

Research Requirements (6 hours)

Students will choose the thesis option or the research project option.

Thesis Option

Students will take 6 hours of thesis:

MATH 6939 - Master’s Thesis Research Credit Hours: 3

Research Project Option

Students selecting the research project option must complete MATH 6837 - Research Project I and MATH 6838 - Research Project II. The first research project course may be taken after successfully completing nine hours of required core courses or during the last 15-18 hours of graduate mathematics coursework. MATH 6837 and MATH 6838 may not be taken concurrently. Students may enroll in MATH 6838 with prior approval from their faculty advisor, only after the project advisor determines that the students have made significant progress toward the completion of their projects in MATH 6837. Students who change their research project topics must begin again with MATH 6837.

Students will take the following:

MATH 6837 - Research Project I Credit Hours: 3
MATH 6838 - Research Project II Credit Hours: 3