Graduate Programme
Applications of Modelling in the Natural and Social Sciences

  At Trent, there is no graduate programme within the Department of Mathematics itself; however, graduate work employing mathematics within a modelling framework is available at the masters level in Applications of Modelling in the Natural and Social Sciences Programme. Some members of faculty in the Department of Mathematics participate in this programme.

The Modelling Programme's Web site includes the following description of the Programme

  Applications of Modelling in the Natural & Social Sciences is an interdisciplinary program which provides for study towards an M.Sc. or M.A. degree in the application of techniques and theory of modelling in the natural sciences and social sciences. It encompasses the following traditional disciplines: Biology, Chemistry, Computer Science, Economics, Environmental Science, Geography, Mathematics, Physics, Psychology and Sociology. The program is designed to overcome some of the barriers to interdisciplinary collaboration by bringing together, at the graduate level, students who are actively applying modelling techniques in their thesis research in a broad range of disciplines. The research is in the social and natural sciences, and in fields in which Trent has demonstrated strong research performance. Although it is oriented towards quantitative models, utilizing computational, mathematical or statistical techniques, it is discipline-based and is not a program in applied mathematics.

  1. The teaching of fundamental and common analytical modelling techniques required for research in a large number of quantitative fields.
  2. The cross-fertilization that comes from sharing ideas with researchers in other disciplines, and the development of the communication skills required for this to occur.
  3. Sufficient training of the student in his/ her chosen discipline, including coursework and research thesis, to permit progression to a disciplinary Ph.D. program at another institution.

Students are involved both in thesis research and course work in their "home" discipline, and in interdisciplinary study. They carry out coursework in the foundations and methods of quantitative modelling and participate in an interdisciplinary seminar. In this seminar the student discusses, in a way comprehensible to the audience, the system being modelled, the model developed, and the means of validation of the model; here the emphasis is upon the modelling process itself rather than on the relevance of the results to the discipline of the research. Through this seminar the students develop the skills required to communicate with researchers outside their own discipline, and develop a perspective on their own and other disciplines not obtainable from within a single-discipline context..

For more information, check The Modelling Programme's Web site.

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Last updated 2002-10-02