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Program Overview
The MS in applied mathematics offers a general degree in applied mathematics along with options for specialization in many areas, preparing graduates for a multitude of careers in industry and business. The curriculum exposes students to a variety of coursework and provides the opportunity to participate in real-world research and consulting work.
Our student learning outcomes are focused around knowledge areas, skills and attitudes. Each of three objectives is detailed below. Student Learning Objective #1: Students must acquire both a conceptual and operational understanding of the following core areas of mathematics: applied analysis, applied linear algebra. Student Learning Objective #2: Students must acquire both a conceptual and operational understanding of at least one of the following emphasis areas of mathematics: Discrete mathematics (graph theory and/or finite geometry), Numerical and computational mathematics, Optimization, Probability and/or statistics, Mathematics of science and engineering, Computer science, Computational biology. Student Learning Objective #3: Students will become proficient in the following skills and attitudes: Precision and clarity in the oral and written communication of mathematical ideas, Effective use of non-classroom resources to gain knowledge, Proficiency in the formulation and construction of proofs, Facility in problem solving, modeling, approximation, and mathematical exploration, Effectiveness in reasoning with and between concrete and abstract ideas, Capable of using computer technologies.
Program Description
Our student learning outcomes are focused around knowledge areas, skills and attitudes. Each of three objectives is detailed below. Student Learning Objective #1: Students must acquire both a conceptual and operational understanding of the following core areas of mathematics: applied analysis, applied linear algebra. Student Learning Objective #2: Students must acquire both a conceptual and operational understanding of at least one of the following emphasis areas of mathematics: Discrete mathematics (graph theory and/or finite geometry), Numerical and computational mathematics, Optimization, Probability and/or statistics, Mathematics of science and engineering, Computer science, Computational biology. Student Learning Objective #3: Students will become proficient in the following skills and attitudes: Precision and clarity in the oral and written communication of mathematical ideas, Effective use of non-classroom resources to gain knowledge, Proficiency in the formulation and construction of proofs, Facility in problem solving, modeling, approximation, and mathematical exploration, Effectiveness in reasoning with and between concrete and abstract ideas, Capable of using computer technologies.