Learning Goals And Outcomes

Learning Goals

  • Master the subject material in the four required core courses that form the academic pillars of the program: Probability, Applied Mathematics, Statistics, and Numerical Analysis.
  • Develop a client-based and practical perspective concerning applied mathematics and statistics at the MS level, with a view towards solving real-world modeling and computational problems that arise in realistic situations.
  • Obtain hands-on experience in client-based operations through internships and consulting seminars, thereby developing the ability to collaborate with individuals whose training lies in other disciplines.
  • Become sufficiently proficient in the core academic material to permit further study at the PhD level in applied mathematics, statistics, and related areas.

Learning Outcomes

  • Students will be able to compete successfully for internship and employment positions in government, industry, and non-profit organizations.
  • Graduates will have a predisposition for outreach toward application areas such as physical sciences, financial services, and social sciences and have the knowledge, experience, and motivation to bring the tools of mathematics and statistics to bear on real-world problems.
  • Alumni will have the communication skills necessary to successfully collaborate with non-expert users of applied mathematics and statistics.
  • Graduates will have the intellectual curiosity and flexibility to grow with developing technology and new methods in mathematics and statistics.