Master of Arts in Applied Modelling and Quantitative Methods M.A.
Program Overview
The Master of Arts in Applied Modelling and Quantitative Methods program trains students in modeling techniques across the natural and social sciences. Emphasizing interdisciplinary collaboration, the program combines coursework with a thesis and prepares students for PhD programs or careers requiring quantitative analysis. Students can specialize in either mathematics or statistics-based research, and the program is open to domestic applicants only for the September 2024 intake.
Program Outline
Degree Overview:
This program is a Master of Arts in Applied Modelling and Quantitative Methods. It's a thesis-based program with a focus on the theory and application of modeling techniques in the natural and social sciences. The program emphasizes interdisciplinary collaboration, bringing together students with backgrounds in economics, computer science, math, psychology, and other fields. Students gain new perspectives and develop skills that prepare them for future careers.
Careers:
The program is designed to provide students with the skills and knowledge to pursue PhD programs in their chosen disciplines. The program's interdisciplinary focus positions graduates for careers in diverse fields that require strong quantitative analysis and modeling skills.
Other:
- The program is offered full-time or part-time.
- Students have the option to specialize in either mathematics or statistics-based research.
- Students need to choose a potential supervisor before applying to the program.
- The program does not require a GRE test score.
- The program is open to domestic applicants only for the September 2024 intake.
- The program is exempt from providing an attestation letter from the province or territory where they plan to study.
Entry Requirements:
- Degree: A B.A. or B.Sc. honours degree (a four-year undergraduate bachelor's 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 GPA: Minimum B+ (77%) or equivalent in the work of the last four semesters or the last two undergraduate years (last ten full credits).
- Coursework:
- A university course in differential and integral calculus.
- One university course in probability and statistics or the equivalent.
- Some familiarity with linear algebra.
- 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.
- Supervisor: A potential supervisor must be chosen as an admission requirement to this program, and this must be discussed in your plan of study.
Language Proficiency Requirements:
- English Proficiency: Proficiency in English usage, both written and oral, is essential to pursue graduate studies at Trent University. Applicants must demonstrate an adequate level of English proficiency, regardless of their citizenship status or country of origin.
- Exemption: Applicants who completed two or more years of post-secondary education at a university in Canada, Australia, Ireland, New Zealand, United Kingdom, and the USA are exempt from this requirement. If you have completed two or more years of post-secondary education at a university where the primary language of instruction is English, the School of Graduate Studies is prepared to consider alternate proof of English language proficiency.
