Admission Requirements

Applicants are normally required to hold an undergraduate degree in a related field with a minimum of 3.0 GPA on SFU’s 4.33 scale (B average or 70%). Applications from students with other degrees or with equivalent professional training and experience will also be considered. Please refer to the “Graduate General Regulations” in the SFU Calendar for more information.

Applicants whose native language is not English and whose education has been conducted in a language other than English are required to submit English Language test scores (TOEFL or IELTS). SFU code: 0999; REM code: 46.

International applicants please note that you will most likely have to submit TOEFL / IELTS scores. Waivers are rarely given out. To apply for a waiver and additional information can be found on the Dean of Graduate Studies website. Please note that while the Dean of Graduate Studies requires that you must have a degree from an institution where English is the main language of instruction in a country where English is the primary language, the department (REM) requires in addition that the degree upon which the exemption is based is at least 4 years in length.

Ph.D. applicants are expected to submit GRE scores (general test) as part of their application. SFU code: 0999; REM code 0110.
International applicants should check if they meet the minimum requirements for their country before submitting an application.

Statistics Requirement
A prerequisite for entry into the School of Resource and Environmental Management requires that applicants must have completed an undergraduate course in parametric and nonparametric statistics.

REM faculty expect that new students will have acquired and be familiar with the following concepts/methods prior to entry in the School: describing distributions graphically and quantitatively (e.g. mean, median, standard deviation), basic concepts of statistical inference (e.g. calculating test statistics and comparing p-values with an alpha value), basic inferential tests (t-tests, simple ANOVA, chi-square), and simple linear regression and correlation.

Entry-level undergraduate statistics and data analysis courses normally cover the above concepts.