国际学生入学条件
Official Transcripts required.
To meet the General Admission Requirements to Lakehead, you will need the following:
Successful graduation from an academic secondary school program or equivalent (For most countries, the same academic preparation as is required for university entrance in that country is required for consideration. Refer to Admission Requirements by Country.)
Program-Specific Prerequisite courses completed at the senior level (e.g. Grade 12),
Equivalent of a minimum 70% overall final average (Canadian)
International Baccalaureate Diploma Programme applicants who achieve their diploma with a total score of at least 24 may be eligible for admission.
IELTS - 6.5 (no individual score less than 6.0)
TOEFL iBT - 80 (no component score less than 19)
TOEFL PBT - 550 (no component score less than 50) [when Speaking is present]
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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:80
- 托福笔试总分:550
- 其他语言考试:Pearson Test of English Academic (PTE Academic) - 58 (no component score less than 50)<br>Michigan English Language Assessment Battery (MELAB) - 85<br>Canadian Academic English Language Assessment (CAEL) or CAEL CE (Computer Edition) - 60<br>Lakehead University will temporarily accept the Duolingo English Test from applicants who are from a region where IELTS and/or TOEFL test centres are closed due to COVID-19. Applicants must achieve a minimum score of at least 110 in order to meet the English language proficiency.
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
我们提供四年制的荣誉理学学士学位(生物信息学专业)和非进入式的四年制理学学士学位(生物信息学专业)。生物学领域的核心课程
Bioinformatics is an interdisciplinary course of study with emphasis on the integrated use of tools from mathematics, computer science, biology, chemistry and physics to the scientific understanding of biological systems. In essence, it is the application of information technology to the field of biology, and in particular, molecular biology. Bioinformatics entails the creation and advancement of databases, algorithms, computational and statistical techniques, and theory to solve formal and practical problems arising from the management and analysis of biological data.
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