The program information below is valid for the winter 2020 term (January 1, 2020 - April 30, 2020).
The Graduate Studies Academic Calendar is updated 3 times per year, at the start of each academic term (January 1, May 1, September 1). Graduate Studies Academic Calendars from previous terms can be found in the archives.
Students are responsible for reviewing the general information and regulations section of the Graduate Studies Academic Calendar.
Graduate research fields
- Computational Statistics
- Industrial Statistics
- Statistical Theory and Methods
- Study option(s)
- A Master's degree in statistics or actuarial science, completed or expected.
- At least an overall 78% average from a Canadian university (or its equivalent).
- An interview may be required.
- Supplementary information form
- Number of references: 3
Type of references:
normally from academic sources
English language proficiency (ELP) (if applicable)
- Graduate Academic Integrity Module (Graduate AIM)
- Students must complete 6 one-term (0.50 unit weight) courses with an overall average of at least 75%; these courses must include STAT 900 PhD Research Skills, 3 breadth requirement courses from the Category table below and 2 graduate-level STAT or ACTSC courses. 3 of the required 6 courses should be 900-level courses and 3 of the courses should have a STAT subject code.
- Students without a master's degree and entering the PhD with only a bachelor's degree, will be required to take 9 one-term courses with an overall average of at least 75%; these courses must include STAT 900 PhD Research Skills, 3 breadth requirement courses from the Category table below and 5 graduate-level STAT or ACTSC courses. 3 of the required 9 courses should be 900-level courses and 3 of the courses should have a STAT subject code.
- Link(s) to courses
- Graduate Skills Workshop
- Students must complete the Graduate Skills Workshop during the first year of the program.
- Students who have successfully completed this requirement in their master's program will be exempt.
- Research Presentation
- Students are expected to deliver at least 3 seminars during their program. The purpose of this requirement is to provide students with an opportunity to improve their presentation skills. Each seminar should be attended by one, or preferably two, departmental faculty members.
- PhD Comprehensive Examination I
The Comprehensive Examination I requirement ("breadth requirement") ensures that students have sufficient breadth of knowledge to undertake research at the PhD level.
- For graduate level breadth, students are required to take 3 courses, achieving a grade of at least 75% in each of them; which will cover 3 broad categories in Statistics: Mathematical Statistics and Probability, Computing, and Applied Statistics, see the Category table below. Students should take at least 1 course from each category.
- Topics courses will be assigned to the appropriate category by the Graduate Officer.
The Graduate Officer may ask for specific courses following the entry review.
Each student will be examined by a committee of at least three departmental Faculty members including the supervisor(s). The student will prepare a portfolio and undertake an oral exam. Each committee will grade according to a common grading scheme and all grades in the class will be moderated by the instructor to ensure consistency across committees. If the committee and instructor jointly feel that the student has not reached the required standard for a passing grade, they will prepare detailed comments on the weaknesses that need to be addressed in the portfolio and the oral exam. The student will then address these issues, resubmit the portfolio and retake the oral exam by the end of the following term. If the student fails for a second time they will be required to withdraw from the program.
By the end of their third term, students are required to (a) take at least 5 graduate level courses including their 900-level course requirements (excluding STAT 900) and (b) complete their required breadth requirements.
- PhD Comprehensive Examination II
- Students are required to meet the University-level PhD Comprehensive Examination minimum requirements outlined in the “Minimum requirements for the PhD degree” section of the Graduate Studies Academic Calendar (GSAC), with certain noted differences that are specific to the Faculty of Mathematics Comprehensive Examination minimum requirements:
- Comprehensive examination purpose: Consistent with University-level minimum requirements.
- Timing: Consistent with University-level minimum requirements.
- Committee: Consistent with University-level minimum requirements. Note: The Faculty of Mathematics wishes to use the option to have the committee approved by a delegate of the Associate Dean, namely by the Graduate Officer in the home department of the student.
- Who Chairs an examination: Consistent with University-level minimum requirements.
- Format / Content: Consistent with University-level minimum requirements.
- Academic integrity: In the Faculty of Mathematics, when a student needs to submit a written document to their comprehensive examination committee prior to the examination, they are required to sign an acknowledgement form affirming their work does not violate the University policy on Academic Integrity. Students are also encouraged to use a
plagiarism detection software and include its report with the submission of their written document. Furthermore, the comprehensive examination committee may require the student to use such software and include the report it generated with the submission of their written component.
- In addition to the University-level and Faculty-level PhD Comprehensive Examination minimum requirements, students in the PhD in Statistics program are also required to meet the following requirements:
- The Stage II Comprehensive Examination is a diagnostic examination, the purpose of which is to test a student's preparedness to undertake thesis research. The format of this aspect of the comprehensive requirement is that of a public, oral presentation of a thesis proposal, followed by questioning from the student's Stage II Committee and any other members of the university community who may be present. A written thesis proposal is submitted prior to the examination.
- The Stage II Comprehensive Examination Committee consists of the supervisor and at least two additional faculty members from the Department. The composition of the Stage II Committee must be approved by the Graduate Committee, and the Associate Chair for Graduate Studies will act as a neutral chair of the Committee of examiners, or will appoint a faculty member to serve in that capacity.
- PhD Thesis
- The PhD thesis examination, which is the culmination of the candidate's research efforts as a graduate student, is divided into two stages:
- Departmental Thesis Presentation
- University Thesis Defence
- Departmental Thesis Presentation: PhD students are required to present the results of their research before interested members of the department. This departmental thesis presentation is intended to fulfil several purposes. Students have an opportunity to practise their presentation skills and to gain valuable experience in answering questions about their work in a public setting. As well, faculty and graduate students who are interested in the thesis topic are provided with an overview of the student's research prior to the actual thesis examination.
- PhD Thesis Examination: the student shall defend the thesis in an oral examination before an Examining Committee, which shall consist of the supervisor(s), two faculty members in the Department, one faculty member from outside the Department, and an external examiner familiar with the student's research field. The Committee is approved by the Faculty Graduate Committee.
|Mathematical Statistics and Probability||STAT 901, STAT 902, STAT 908|
|Computing||STAT 840, STAT 841, STAT 842, STAT 844, STAT 847, STAT 906|
|Applied Statistics||STAT 830, STAT 831, STAT 835, STAT 836, STAT 854, STAT 929, STAT 931, STAT 932, STAT 935, STAT 936, STAT 938, STAT 974|