The Department of Statistics offers both Master's and PhD graduate programs. Graduate program inquiries should be made to firstname.lastname@example.org.
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:
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 may still 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:
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.
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
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:
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 Statistics Department has two computer labs primarily equipped with recent Apple iMac computers.
The Statistics Lab in room 311 Machray Hall was developed to support students in our introductory STAT 1000 and STAT 2000 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.
Statistics seminar: Miroslaw Pawlak: “Nearest Neighbor Estimates for Nonlinear Time Series Systems” — Thursday, November 23 at 2:45 p.m., 301 Biological Sciences.
PIMS lecture: Anthony Bonato — Thursday, November 30 at 4 p.m., Robert Schultz Theatre.
Interdisciplinary seminar: Lena Kourkoutis — Friday, December 1 at 4 p.m., Robert Schultz Theatre.