Master of Resource Management in Resource and Environmental Management (Planning)

The Resource and Environmental Planning Program (REPP) is the only planning program in Canada that specializes in interdisciplinary training in policy, natural science, and social science applied to natural resource and environmental planning. REPP is a professional planning program accredited by the Planning Standards Board for the Planning Profession of Canada and the Planning Institute of British Columbia. Students graduating from the Resource and Environmental Planning Program receive the degree of Master of Resource Management (Planning).Students take an integrated sequence of courses in complementary fields, pursue further courses in planning, and complete a research project. The aim is to increase familiarity and competence in understanding the dynamics of natural resources, the strategies and techniques of natural resource and environmental planning and management, and the biological, physical, social, economic, and institutional implications of resource decisions. Students also become familiar with various quantitative methods of analysis and aids to decision-making. In the field of natural resources, in particular, it is important that an academic program stress problem-solving as well as creative and critical thinking skills, rather than focusing solely on subject matter such as fisheries, resource economics, or forestry.

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.Applicants to the School of Resource and Environmental Management must have completed an undergraduate course in parametric and nonparametric statistics. It is expected 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)simple linear regression and correlation.GRE scores are not required.Check the application opening and closing dates. You will not be able to submit an application outside of these dates.Provide names and e-mails for three referees. Only instituional or professional email addresses will be accepted.Identify three professers you plan to name in your application. Review their research areas to be sure you are interested in working with them in their field.Submit your application, pay your application fee, then complete your application checklist. When your checklist shows all green checkmarks, it is complete. No additional confirmation will be provided.