IX. Graduate Programs
Mathematics and Statistics
MSc Program
The department offers an MSc degree in the fields of : 1) mathematics; or 2) statistics.
Admission Requirements
For the MSc Degree Program, applicants will normally have either

i) an honours degree with an equivalent to a major in the intended area of emphasis.
or

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 Program 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.
Program Requirements
Students enrol in one of two study options: 1) thesis, or 2) course work and major research project.
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 Program Coordinator. The remaining prescribed courses are to be selected from either graduate courses or 400level undergraduate courses. Courses taken outside of this department must have the prior approval of the Graduate Program Committee.
Thesis
Students must complete at least 2.0 credits (four courses) plus a thesis.
Mathematical Area of Emphasis
All candidates for the MSc with a mathematical area of emphasis are required to include in their program of study at least two of the core courses. The core courses are:
MATH*6010  [0.50]  Analysis 
MATH*6020  [0.50]  Scientific Computing 
MATH*6051  [0.50]  Mathematical Modelling 
For an MSc by thesis at least three MATH courses must be taken, for an MSc by course work and major research project at least four MATH courses must be taken.
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]  Computational Statistical Inference 
It is required that students take the undergraduate course Statistical Inference, STAT*4340, if this course or its equivalent has not previously been taken. For an MSc by thesis at least three STAT courses must be taken, for an MSc by course work and major research project at least four STAT courses must be taken.