Master of Science in Mathematics with Specialization in Statistics

South Dakota State University

USA,South Dakota

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24 Months

Duration

CAD 9,810/year

Tuition Fee

CAD 35

Application Fee

Apply Date

USA, South Dakota

Type: University

Location Type: Rural

Founded: 1881

Total Students: 11,405 +

Int. Students: 606 +

Campus Detail

Main Campus Address

1451 Stadium Rd, Brookings, SD 57007, United States

Master of Science in Mathematics with Specialization in Statistics

Program Overview

The Department of Mathematics and Statistics is a large, diverse, and active organization. The department’s mission is to provide excellent instruction, conduct high-quality research and scholarly activity, and prepare graduates and provide mathematical and statistical services that are both regionally relevant and internationally competitive. The department offer students the opportunity to pursue master’s and doctoral level graduate studies in a collegial environment with small class sizes and high faculty-student interaction and research activity.

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 Learning Outcomes

  • Students will understand mathematical or statistical models.
  • Students will be able to construct and apply standard mathematical and statistical models.
  • Students will be able to solve problems using appropriate software to implement the appropriate models.
  • Students will be able to disseminate the results of their work to others.
  • Students will be able to apply Argument Deconstruction in mathematics and statistics