IX. Graduate Programs
Mathematics and Statistics
MSc Program
The department offers an MSc degree with several options. Students choose between either mathematics or statistics fields and complete their program either by thesis or project. The two main program types are regular and interdisciplinary.
Interdisciplinary programs involve faculty members of this and other university departments and focus on problems of common interest to both departments. Examples include joint studies in quantitative genetics involving faculty in the Department of Animal and Poultry Science; studies of economic management of renewable resources involving faculty from the economics departments; modeling of physiological processes involving faculty from the Ontario Veterinary College or the College of Biological Science; toxicological modeling or risk assessment in collaboration with faculty involved in the Toxicology Research Centre.
Admission Requirements
For the MSc Degree Program, applicants will normally have either
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i) an honours degree with an equivalent to a major in the intended area of emphasis.
or
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ii) an honours degree with the equivalent of a minor in the intended area of emphasis, as defined in the University of Guelph Undergraduate Calendar.
Strong applicants with more diverse backgrounds will also be considered but are encouraged to contact the Graduate Coordinator or a potential advisor before applying.
Note that the department's undergraduate diploma in applied statistics fulfils the requirement of a minor equivalent in statistics.
Degree Requirements
For both regular and interdisciplinary programs, the degree requirements may be met by taking either:
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an MSc by thesis which requires at least 2.0 credits (four courses) plus a thesis; or
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an MSc without thesis (by project) which requires at least six courses; i.e., 3.0 credits, 2.0 of which must be for graduate-level courses plus successful completion within two semesters:
One of:
MATH*6998 [1.00] MSc Project in Mathematics STAT*6998 [1.00] MSc Project in Statistics
All programs of study must include the appropriate core courses (see below). Students who have obtained prior credit for a core course or its equivalent will normally substitute a departmental graduate course at the same or higher level, with the approval of the graduate coordinator. The remaining prescribed courses are to be selected from either graduate courses or 400-level undergraduate courses. Courses taken outside of this department must have the prior approval of the graduate program committee.
Mathematical Area of Emphasis
Statistical Area of Emphasis
All candidates for the MSc with a statistical area of emphasis are required to include in their program of study at least two of the core courses.
The core courses are:
| STAT*6801 | [0.50] | Statistical Learning |
| STAT*6802 | [0.50] | Generalized Linear Models and Extensions |
| STAT*6841 | [0.50] | Statistical Inference |
| STAT*6860 | [0.50] | Linear Statistical Models |
It is required that students take the undergraduate course Statistical Inference, STAT*4340, if this course or its equivalent has not previously been taken.
Interdisciplinary Programs
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The general course requirements, above, must be met.
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The project or thesis of an interdisciplinary program must directly integrate the study of mathematics or statistics with another discipline.