The Department of Statistics offers both Master’s and PhD graduate programs. Graduate program inquiries should be made to firstname.lastname@example.org.
Application Procedure, Deadlines and Required Supporting Documentation
Applications may be made online or by mail. Applications and additional information is available from the Faculty of Graduate Studies (Admissions). It is important to follow all instructions and submit all of the required documentation before any deadlines. In addition to the supporting documentation required by the Faculty of Graduate Studies, the Department of Statistics also require the following additional supporting information:
- Two letters of reference in support of your application. Additional pages may be added if required.
- A brief (1-2 pages) statement of purpose which should include your financial aid expectations and/or requirements.
One or more preferred supervisors may be identified on your application. These must be members of the Department of Statistics and should not be Adjunct appointments. M.Sc, applicants who do not indicate a preferred supervisor will be assigned one by the department’s Graduate Committee. Ph.D. applicants who do not indicate a preferred supervisor must choose one by the end of their first academic term.
For September admission, the Department of Statistics begins the application review process in mid January. To be considered in the initial review process, all application materials, including letters of reference and transcripts, should be received before January 10th. Applications received after this date maystill be considered for admission depending on the number of spaces available for the Fall term.
Students should also be aware of deadlines imposed by the Faculty of Graduate Studies. The Faculty of Graduate Studies requires that Canadian/U.S. submit their application and supporting documentation to the Faculty of Graduate Studies at least 3 months prior to their intended start date. International students should submit their application and supporting documentation to the Department at least 7 months prior to their intended start date.
The Master’s degree may be earned in one of three ways:
- Submission of a thesis; at least nine credit hours of approved work at the 7000 level in statistics, which must include STAT 7080, STAT 7140 and the zero credit hour STAT 7310; and six credit hours of approved coursework at the 4000 or 7000 level in Statistics.
- Submission of a practicum; at least nine credit hours of coursework at the 7000 level, which must include STAT 7080, STAT 7140, STAT 7290 and the zero credit hour STAT 7310; and six credit hours of approved work at the 4000 or 7000 level in Statistics.
- Eighteen credit hours of course work at the 7000 level, which must include STAT 7080, STAT 7140, the zero credit hour STAT 7310 and the research project course STAT 7320; and six credit hours of approved coursework at the 4000 or 7000 level in Statistics.
Students are also expected to take part in laboratory instruction.
Second language reading requirement: none
Expected time to graduate: one to two years depending the option selected
Note: This is based on proposed program changes currently awaiting approval. It is expected that these will be the program requirements as of Fall 2010.
Ph.D. in Statistics
Minimum program requirements of the Faculty of Graduate Studies are found in the Graduate Studies Regulations Section of this Calendar. Students are required to satisfy the following requirements:
Candidates are required to attempt and successfully complete at least twelve credit hours at the 7000 level. These courses will normally be taken from the Department of Statistics. Courses will normally be recommended by the candidate’s supervisor. Candidates are required to pass the Ph.D. qualifying examination within eighteen months of first registration. Candidates are required to pass a candidacy examination, which will normally be administered twelve months prior to the completion of all degree requirements. The candidacy examination will be set and administered by the candidate’s Ph.D. advisory committee. The format may vary.
Second language requirement: none
Expected time to graduation: five years
Financial support is available on a competitive basis. Sources for such support include:
- NSERC PGS-M/D (for Canadian Citizens and Permanent Residents only)
- University of Manitoba Graduate Fellowships
- Manitoba Graduate Scholarships
- Teaching and Research Assistantships
- Supervisor’s Funds
- A limited number of Faculty of Science Graduate Scholarships are also available on a competitive basis.
New applicants who wish to apply for these scholarships/fellowships should contact the Department of Statistics.
International students are encouraged to visit the University of Manitoba International Centre for Students for more information of tuition, housing, visa’s and study permits, etc. Newly accepted students are encouraged to read the Pre-Arrival Guide for International Students, which will assist you in your planning.
The Statistical Advisory Service is operated by the Department of Statistics in the Faculty of Science. In addition to providing assistance to faculty members and graduate students on campus, members of the Statistical Advisory Service:
- participate in collaborative research projects
- conduct research in statistical methodology
- act as a resource for clients from government and industry
- provide training in statistical consulting to graduate students in statistics
In the past, seminars and workshops on a variety of statistical topics have also been developed and conducted by consultants for research groups and organizations.
The department provides each graduate student with an office computer on a best effort basis. These computers allow students to use most common mathematical and statistical software which may only be available under University of Manitoba site license agreements.
The Statistics Department has a computer lab equipped with recent Apple iMac computers. This lab in room 311 Machray Hall was developed to support students in our lower level courses. The Department hires senior undergraduate and graduate students to provide both statistical and computing assistance in 311 Machray Hall. If you are interested in working in the lab, you should contact Margaret Smith in room 318 Machray Hall. This lab has 43 iMacs.
The Department also maintains a small computational cluster to provide a small scale, locally managed facility for high performance computing and training. It is available to all staff members and graduate students, and also to undergraduates in computational statistics courses or who are working on computational research projects.