Introduction
The Department of Statistics offers both Master's and PhD graduate programs.
Graduate program inquiries should be made to
grad-info@stats.umanitoba.ca.
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. Please use
the form available
here
under the heading "Other Supporting Documentation". 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.
Deadlines
For September admission, the Department of Statistics begins the
application review process in early February. To be considered in the
initial review process, all application materials, including letters of
reference and transcripts, should be received before February 1st.
Applications received after this date will still be considered for
admission depending on the number of spaces available for the Fall term.
While applications after February 1st will still be considered for
admission, they may not be considered for funding.
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.
M.Sc. Programs
Program Requirements
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
Program Requirements
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
Thesis: required
Expected time to graduation: five years
Financial Support
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
- MITACS
- 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.
Consulting Service
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.
Computing Facilities
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 336 Machray Hall. This lab has 43 iMacs.
The senior lab facility, located in room 314 Machray Hall, is available
for senior undergraduates and graduate students. This lab is accessible
to eligible students at all times. This room currently has seven iMac
computers, some of which are equipped with VMWare Fusion for running
Windows, and one IBM IntelliStation running Ubuntu Linux for
high-performance computing. If you require remote access to any of
thesesystems, you need to see Dave Gabrielson in 323 Machray Hall.
All of the iMacs in both labs are available as a clustered computing
resource. The aggregate power of the cluster is over 100 GHz with more
than 500 Gb of RAM.
Supplementary Regulations
Application for Graduate Admission
Information for Graduands
