Academic Calendar



The master of science (MSc) program offers exposure to a wide range of statistical techniques and provides experience in the application of statistical methods. It teaches statistical expertise for careers in either theoretical or applied statistics.

The MSc program in statistics combines applied and theoretical training in state of the art statistical methodology, hands-on consulting experiences, a project in data analysis or in the development of new statistical methodology, and the opportunity to gain work experience and course credit through co-operative education. The program prepares graduates for careers as statisticians in industry, government, consulting, and research organizations. In addition, graduates receive the foundational training to continue on to PhD studies.

Program Requirements

The MSc in Statistics requires a total of 36 units consisting of a 6 unit project and a further 30 units of course work, of which at least 24 must be at the graduate level. Students who have completed the undergraduate Statistics major or honours program at SFU or have received approval of the Graduate Chair based on an equivalent program, are required to complete 24 graduate course units plus 6 project units for a total of 30 units in total for a master's degree.

Students complete all of*:
STAT 811 - Statistical Consulting I (2)
STAT 812 - Statistical Consulting II (2)**
STAT 830 - Statistical Theory I (4)
STAT 850 - Linear Models and Applications (4)
STAT 851 - Generalized Linear Models and Discrete Data Analysis (4)
STAT 852 - Modern Methods in Applied Statistics (4)
STAT 853 - Applications of Statistical Computing (4)

*Other courses from the list below may be substituted with the approval of the senior supervisor and graduate program chair.  

**Students may substitute co-operative-education work terms for STAT 812 by following the procedure described here.

The department also offers other graduate level Statistic courses such as:
STAT 831 - Statistical Theory II (4)
STAT 832  - Applied Probability Models (4)
STAT 840 - Statistical Genetics (4)
STAT 841 - Advanced Design of Experiments (4)
STAT 842 - Environmetrics (4)
STAT 843 - Functional Data Analysis (4)
STAT 854  - Biometrics: Methods in Biomedical Studies (4)
STAT 855 - Lifetime Data Analysis (4)
STAT 856 - Longitudinal Data Analysis (4)
STAT 857 - Space-Time Models (4)
STAT 890 - Statistics: Selected Topics (4)
STAT 891 - Seminar (2)
STAT 894 - Reading (2)
STAT 895 - Reading (4)
STAT 898 - MSc Thesis/Project (6)
STAT 899 - PhD Thesis/Project (6)

Other departments may permit graduate students to take their graduate courses:
External Courses


All students submit and successfuly defend a six-unit project (STAT 898-6) based on a statistical analysis problem or on the development of new statistical methodology. See the Graduate General Regulations Section 1.10 for further information.

Program Length

Students with a good undergraduate background in statistics will normally complete the course work in four terms or fewer. The project, including the defense, is expected to require up to two terms, including terms in which students are completing course requirements. Students with backgrounds in other disciplines, or with an inadequate background in statistics, may be required to complete certain undergraduate courses in the department in addition to the requirements listed above.

Diploma in Financial Engineering

The Diploma in Financial Engineering is designed for students in the MSc program who would like to develop applied skills in the field of finance.

Academic Requirements within the Graduate General Regulations

All graduate students must satisfy the academic requirements that are specified in the graduate general regulations, as well as the specific requirements for the program in which they are enrolled, as listed above.