国际学生入学条件
Minimum Degree: Normally, the minimum requirement for admission to a doctoral program is the successful completion of a graduate/master’s degree from a recognized university, including demonstration of strong potential for research.
Minimum Admission Average: 73% (‘B’ standing) average in the entire graduate/master’s program.
Calculating Admission Average:
Admission is based on the completed grades (to date) in the equivalent and relevant graduate/master's program.
If an applicant has multiple Master's degrees, the recognized degree with the most relevant academic discipline to the proposed field of study will be used.
Programs may recommend admission using previous Doctoral programs, if applicable.
Grades from the graduate/master's degree will be calculated in their entirety.
Applicants who are applying to the DVSc program with a DVM degree (or equivalent) must have achieved a minimum overall of 73% ( or High Second-Class Honours).
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IDP—雅思考试联合主办方

雅思考试总分
6.5
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雅思考试指南
- 雅思总分:6.5
- 托福网考总分:89
- 托福笔试总分:600
- 其他语言考试:PTE - 60
CRICOS代码:
申请截止日期: 请与IDP顾问联系以获取详细信息。
课程简介
生物物理学研究生课程的组织和管理由生物物理学跨部门小组(BIG)负责。该小组由那些研究兴趣全部或部分涉及生物物理学的研究生院成员组成。生物物理学涵盖了从分子结构到人类生物学的生命科学的各个领域,并利用物理学的思想和技术来解决生物学问题。BIG的特定子学科是分子
The Biophysics Interdepartmental Group BIG at the University of Guelph offers unique programs of masters and doctoral study that seek to further our understanding of biological processes through the application of the concepts and techniques of the physical sciences. Unlike many biophysics graduate programs across Canada, BIG focuses on basic discovery research in the sciences, rather than medical and clinical applications. Experimental research conducted by students within BIG spans the entire breadth of the life sciences spectrum, including biochemistry, molecular biology, microbiology, and human biology. The BIG program provides graduate students with comprehensive education and research training in the field of Biophysics. The program emphasizes multidisciplinary experimental and computational approaches, in which physical and computational tools are applied to biological problems. Collaborative research between faculty members with complementary research interests is actively encouraged, and several graduate students are co-supervised by two research groups.
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