国际学生入学条件
Please ensure that all supporting documents (references, electronic transcripts, CV and letter of intent) are submitted online by the dates above. It is entirely the applicant's responsibility to monitor the status of their documents on the online application system and follow up with their referees if references are not received in advance of the deadline.
Completed or nearing the completion of a four-year Bachelor of Science degree or equivalent (MSc or PhD (Direct Entry))
A B+ average or higher cumulatively in a BSc degree to be considered for our MSc program,
An A- average or higher cumulatively in their MSc or BSc to be considered for our PhD (Direct Entry) program.
Transcript Requirements
TOEFL (U of T Institutional code: 0982-00)
Paper-Based Test & TWE: Overall Score 580, TWE 5
Internet-Based Test IBT: Overall Score 93, Writing/Speaking 22
IELTS: 7.0, with at least 6.5 in each component
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雅思考试总分
7.0
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雅思考试指南
- 雅思总分:7
- 托福网考总分:93
- 托福笔试总分:580
- 其他语言考试:MELAB: 85
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
分子遗传学系由医学大楼管理,有近100名教职员工,其实验室位于医学大楼内
The Department of Molecular Genetics is administered from the Medical Sciences Building and has nearly 100 faculty members whose labs are located within the Medical Science Building, the Best Institute, the Donnelly Centre for Cellular and Biomolecular Research, the FitzGerald Building, the Hospital for Sick Children, Mount Sinai Hospital, the Ontario Institute for Cancer Research, and Princess Margaret Hospital.<br>The Master of Science and Doctor of Philosophy programs in Molecular Genetics offer research training in a broad range of genetic systems from bacteria and viruses to humans. Research projects include DNA repair, recombination and segregation, transcription, RNA splicing and catalysis, regulation of gene expression, signal transduction, interactions of host cells with bacteria and viruses, developmental genetics of simple organisms (worms and fruit flies) as well as complex organisms (mice), molecular neurobiology, molecular immunology, cancer biology and virology, structural biology, and human genetics and gene therapy.<br>Computational biology seeks to help understand biological systems using computational methods to take advantage of large and complex data increasingly generated by genomics technologies. Systems Biology studies biological systems as a whole, considering properties not apparent when examining one component at a time, and requires a combination of experimental and computational methods to map and understand these complex systems. Computational and systems biology are often combined and share the goals of understanding how biological systems work at the cellular and molecular level, how these systems may break to cause disease and how to fix these failures and develop useful therapies.
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