Mathematics and Statistics

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Program Description

The Department of Mathematics and Statistics delivers programs of study leading to the Masters of Science and the Doctor of Philosophy degrees. The Master of Science in Mathematics prepares graduates for positions in industry, teaching, or doctoral programs and the Master of Science in Statistics serves as preparation for a career in research, industry, or education, or as a springboard to more advanced graduate work. The Computational Science and Statistics PhD program provides intensive preparation for careers in research, industry, or academia.

Available Options for Graduate Degrees

Master of Science	Option A
	Option B
	Option C
Doctor of Philosophy	60 Credit Plan

Core Requirements

Masters of Science

Mathematics

During the first year, complete one of the sequences listed below and pass the corresponding comprehensive exam:

^{^{Students Beginning Fall of Odd Years - Select one sequence}}

MATH 575 - Operations Research
Credits: 3
AND
MATH 775 - Operations Research II
Credits: 3
MATH 571 - Numerical Analysis I
Credits: 3
AND
MATH 774 - Advanced Scientific Computation
Credits: 3

^{Students Beginning Fall of Even Years - Select one sequence}

MATH 742 - Partial Differential Equation
Credits: 3
AND
MATH 732 - Ordinary Differential Equations
Credits: 3
MATH 571 - Numerical Analysis I
Credits: 3
AND
MATH 771 - Numerical Analysis II
Credits: 3

For further details about program requirements review the department’s webpage and the program handbook online.

Mathematics with a specialization in statistics

Complete one of the core sequences listed for the math degree and one of the core sequences listed for the statistics degree, and pass the two corresponding comprehensive exams.

Statistics

Take the two following Core Statistics sequences and pass the corresponding comprehensive exams:

Statistical Inference:
STAT 784 - Statistical Inference I
Credits: 3
AND
STAT 785 - Statistical Inference II
Credits: 3
Regression:
STAT 786 - Regression Analysis I
Credits: 3
AND
STAT 787 - Regression Analysis II
Credits: 3

For further details about program requirements review the department’s webpage and the program handbook online.

Doctor of Philosophy

Computational Science and Statistics

Pass qualifying exams over emphasis-area-specific preparatory courses Credits: 0-12
CSS 890 - Seminar in Computational Science and Statistics
(must be taken three times for credit) Credits: 3
Dissertion Support Elective Credits: 6-12
CSS 898 - Thesis/Dissertation
Credits: 27-45

For further details about program requirements review the department’s webpage and the program handbook online.

Additional Admission Requirements

GRE: Not required
TOEFL: For the Masters program, a department requirement of 550 paper-based, 213 computer-based, 79-80 Internet-based

For the PhD program, a department requirement of 575 paper-based or 230 computer-based

General Requirements (Master’s and PhD)

Graduate students should consult with their advisor before registering for graduate work.

See Master’s Degree Requirements and Doctor of Philosophy Degree Requirements.

Additional Graduation Requirements

Master’s graduation requirements
- Must pass the comprehensive exam based on the core sequences

PhD graduation requirements

- Must pass a qualifying exam based on the core sequence of the student’s emphasis area
- Must pass written and oral comprehensive exams, as designed by the student’s advisory committee.

Course Offerings

Mathematics and Statistics (MATH, STAT, CSS) Courses