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M.Sc. in Applied Modelling and Quantitative Methods

Canada

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12

What will I learn?

Applied Modelling and Quantitative Methods is an interdisciplinary program which provides for study towards an M.Sc. degree in the application of techniques and theory of modelling in the natural sciences and social sciences. It encompasses the following traditional disciplines: Biology, Business Administration, Chemistry, Computer Science, Economics, Geography, Humanities, Mathematics, Philosophy, Physics & Astronomy and Psychology. 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.

There are three primary objectives:

  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 a 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 modeled, 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.

Cross disciplinary boundaries as you explore and apply modelling techniques to your research.

Earn an M.A. or a M.Sc. in the theory of modelling and the application of techniques in the natural sciences or social sciences. Interdisciplinary collaboration is at the core of this program as students with backgrounds in economics and computer science come together with those from math and psychology, and beyond. As you complete your coursework and conduct your research, you will be sharing ideas with classmates from an array of disciplines. Immersed in this multidisciplinary environment, you will develop new perspectives that will position you well for the future.

  • Collaborate on individualized, interdisciplinary research with faculty members in a wide range of disciplines.
  • Choose from Biology, Business Administration, Chemistry, Computer Science, Economics, Geography, Humanities, Mathematics, Philosophy, Physics & Astronomy and Psychology.
  • Build a solid foundation of modelling skills that will allow you to move on to a Ph.D. program in your discipline.

Program Options

  • M.A. or M.Sc.
  • Full- or part-time studies
  • Thesis-based and course-based programs
  • 12 months to 2 years to complete
  • January, May, September intake for thesis-based program / September intake for course-based program

Which department am I in?

School of Graduate Studies

Study options

Full Time (2 years)

Tuition fees
CAD$8,090.87 (US$ 5,943) per year

*Price shown is for indicative purposes, please check with institution

Start date

2 May 2024

Venue

Trent University

1600 West Bank Drive,

PETERBOROUGH,

Ontario (ON),

K9L 0G2, Canada

Entry requirements

For international students

  • B.A. or B.Sc. honours degree in one of the traditional disciplines: Anthropology, Biology, Business Administration, Chemistry, Computing & Information Systems, Economics, Geography, Humanities, Mathematics, Physics & Astronomy, Philosophy, or Psychology
  • Minimum B+ (77%) or equivalent in the work of the last four semesters or the last two undergraduate years (last ten full credits)
  • A university course in differential and integral calculus, and one in probability and statistics or the equivalent
  • Some familiarity with linear algebra, and be capable of programming at an elementary level in at least one computational language
  • A course in either differential equations or advanced statistics is required, depending on whether the student’s area of research will be mathematics or statistics based

The following tests are acceptable forms of proof of English language proficiency:

  • TOEFL iBT, iBT Home Edition, iBT Paper Edition (Test of English as a Foreign Language). The minimum acceptance score is 93 (with a minimum score of 22 in both speaking and writing).
  • CAEL or CAEL online (Canadian Academic English Language Test). The minimum acceptable score is 60, with at least 60 in Writing Proficiency.
  • Successful completion of Trent University – ESL Academic English 1 and 2 - must be completed prior to beginning Graduate Studies
  • IELTS Academic (International English language Testing Services). The minimum acceptance score is 6.5, with no band below 6.0.

*There may be different IELTS requirements depending on your chosen course.

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About Trent University

With a focus on interactive learning, Trent University has been ranked the best undergraduate university in Ontario for ten years running.

  • #1 university in Canada for scholarships and bursaries
  • 96% of graduates employed within two years
  • International students from 79 countries
  • State-of-the-art campuses close to nature and cities

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