Computational Mathematical and Statistical Sciences, MS
Chairperson: Anne Clough, Ph.D.
Program Director: Sarah Hamilton, Ph.D.
Computational Sciences website
Degree Offered
Master of Science
Program Description
Computational mathematical and statistical sciences (CMPS) is a field of study that emphasizes the discovery, implementation and use of computational tools to solve problems in mathematics and statistics that are both applied and pure. The master's degree program accommodates students whose objectives are either the master's degree or the preparation for doctoral study. The doctoral program is designed for individuals of outstanding ability who show promise as researchers in an interdisciplinary environment.
The diverse research opportunities in our graduate program are enhanced by the research faculty around Marquette's campus in the sciences and engineering and by the Milwaukee area research laboratories and clinics. Consult the Department of Mathematical and Statistical Sciences website for the most current information.
A master's student must complete a plan of study prepared in cooperation with an adviser and approved by the Graduate Committee of the Department of Mathematical and Statistical Sciences.
A master's student is admitted to the non-thesis program (Plan B). A formal request to pursue a thesis (Plan A) must be approved by the department's Graduate Committee and the Graduate School.
Thesis Option (Plan A)
All Plan A computational mathematical and statistical sciences master's students must complete a minimum of 24 credit hours of course work (which includes the 15 credit hour core, a 3-credit, adviser-approved computational course and 6 credit hours of approved electives), 6 thesis credit hours and submit a thesis that must be an original contribution to the student's field of study. A public defense of the thesis is required.
Code | Title | Hours |
---|---|---|
Required 15-credit hour core: | ||
MSSC 6000 | Scientific Computing | 3 |
MSSC 6010 | Computational Probability | 3 |
MSSC 6020 | Statistical Simulation | 3 |
MSSC 6030 | Applied Mathematical Analysis | 3 |
MSSC 6040 | Applied Linear Algebra | 3 |
An adviser-approved computational course | 3 | |
Approved elective courses, which may include only 1 credit of MSSC 6090 | 6 | |
MSSC 6999 | Master's Thesis | 6 |
Total Credit Hours: | 30 |
Essay Option (Plan B)
All Plan B computational mathematical and statistical sciences master's students must complete a minimum of 30 credit hours of course work (which includes the 15 credit hour core; a 3-credit, adviser-approved computational course and 12 credit hours of approved electives) and submit a non-credit essay that reflects the student's ability to synthesize source materials relating to a particular area of research or professional practice. A public oral presentation of the essay is required.
Code | Title | Hours |
---|---|---|
Required 15-credit hour core: | ||
MSSC 6000 | Scientific Computing | 3 |
MSSC 6010 | Computational Probability | 3 |
MSSC 6020 | Statistical Simulation | 3 |
MSSC 6030 | Applied Mathematical Analysis | 3 |
MSSC 6040 | Applied Linear Algebra | 3 |
An adviser-approved computational course | 3 | |
Approved elective courses, which may include only 1 credit of MSSC 6090 | 12 | |
Total Credit Hours: | 30 |
University Policies
- Academic Censure - Graduate School
- Academic Integrity
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- Academic Program Definitions
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Graduate School Policies
- Academic Performance
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- Courses and Prerequisites
- Cross-listed Courses
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- Doctoral Degree Academic Program Overview
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- Master's Degree Academic Program Overview
- Merit-Based Aid Registration Requirements
- Research Involving Humans, Animals, Radioisotopes or Recombinant DNA/Transgenic Organisms
- Temporary Withdrawal from Graduate Program
- Time Limitations
- Working with Minors