The concentration in Applied Mathematics allows students to investigate the mathematics of problems arising in the physical, life and social sciences as well as in engineering. The basic mathematical skills of Applied Mathematics come from a variety of sources, which depend on the problems of interest: the theory of ordinary and partial differential equations, matrix theory, statistical sciences, probability and decision theory, risk and insurance analysis, among others. Applied Mathematics appeals to people with a variety of different interests, ranging from those with a desire to obtain a good quantitative background for use in some future career, to those who are interested in the basic techniques and approaches in themselves. The standard Applied Mathematics concentration leads to either the A.B. or Sc.B. degree. Students may also choose to pursue a joint program with biology, computer science or economics.
Students in this concentration will:
To be eligible for Honors, concentrators must have a GPA in the concentration of at least 3.6. Candidates for Honors must also complete an Honors Thesis. Students who intend to apply for Honors should approach a faculty member no later than the end of their junior year to request that she or he serve as a thesis advisor. Upon completion of the thesis, the Division will evaluate the overall academic record including the quality of the thesis to reach a decision on whether or not to recommend to the University an Honors designation. Please see the department's website for a complete description of program requirements.
This concentration allows you to address the following Liberal Learning goals:
Alumni who have completed the concentration in Applied Mathematics have gone into many different areas including graduate study in applied mathematics, engineering, economics, physical or earth sciences; actuarial work, insurance and investment management; computer consulting and information industries; scientific careers in industry or government service; medical school; teaching; banking and finance; operations research or statistical analysis in industry or government agencies.
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