Program Details
The program is designed to train and mentor students in the process of independent research on natural resource and environmental issues, within a collegial, interdisciplinary community of scholars. Graduating students will be able to:
- Understand the traditions in knowledge creation, and locate their own methodologies within that broader context;
- Identify knowledge gaps in a chosen area of specialization via literature review and synthesis;
- Design and defend a viable and rigorous research project to fill research gaps and objectives, adapting methods as appropriate;
- Demonstrate broadened perspectives on natural resource and environmental issues.
- Act to research ethically;
- Exhibit critical thinking but also the principles of collegiality and mutual respect during academic critique;
- Manage the research process to implement research design in collaboration with a supervisory committee to a mutually acceptable deadline;
- Analyze collected data, evaluate results and interpret its implications in the context of a chosen area of specialization; and,
- Create new knowledge in a chosen area of specialization.
Admission
ºÚÁϳԹÏÍørequires a minimum GPA of 3.0 in the last two years (60 credits) in a related four-year undergraduate degree or equivalent. Although 3.0 is the minimum acceptable GPA, the MES is a competitive program and the majority of our students hold a 3.7 GPA in their last two years or study. This GPA additionally enables our students to equalify for scholarship. We also require a minimum of 7.5 (or equivalent, if applicable), two strong references, evidence from a resume of relevant experince (work, school or volunteer), a viable statement of reserach interest and consent of a SRES supervisor to oversee the work.Ìý
For more detailed information on SRES' admission process please our How to Apply ±è²¹²µ±ð.Ìý
What you need to finish
The minimum requirement to complete the program is five half-credits and a thesis. Depending on your background, a faculty advisor or supervisor may suggest class work beyond the minimum load.