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The focus of the M.S. in Mathematics Program is the development of sophisticated mathematical models and their implementation on high performance computing platforms. The curriculum features a balance of application, computation, and theory with particular emphasis in the areas of operations research, computational science, and the development of probabilistic and deterministic models.
Areas of faculty and graduate student research activity include computational biology, computational finance, molecular dynamics simulation, operations research, optimization, and Ramsey theory. The program is particularly effective at preparing graduates to work in business, industry, or government as well as preparing students to continue on to the CSS PhD or other PhD program.
Student Support and Engagement Opportunities:The department has graduate research and teaching assistantships and fellowships are available for a number of qualified applicants.
Facilities and Services:The department offices are located in Harding Hall. The Math Help Center, located in Harding Hall 128 and in the Biostress Basement 0020, provides free walk-in tutoring for students in several undergraduate courses.
Complete one of the core sequences listed for math degree and one of the core sequences listed for the statistics degree, and pass the two corresponding comprehensive exams.
Math Sequences - Fall of Odd Years:
* Operations Research
* Operations Research II
* Numerical Analysis I
* Advanced Scientific Computation
Math Sequences - Fall of Even Years
* Partial Differential Equation
* Ordinary Differential Equations
* Numerical Analysis I
* Numerical Analysis II
Statistics Sequences * Statistical Inference I
* Statistical Inference II
* Regression Analysis I
* Regression Analysis II
Many graduate research and teaching assistantships are available, though applicants should note that admission to the program does not guarantee that an assistantship or fellowship will be awarded.
South Dakota State University has been granted the full, ten-year reaccreditation by the Higher Learning Commission. An accreditation team of representatives from peer institutions commended SDSU for:
* Dedicated faculty and staff
* Quality new facilities
* Excellent student leadership
* Shared governance
* Partnerships with local community
* Robust and Integrated assessment program
* Successful transition to NCAA Division I Athletics