国际学生入学条件
Applicants must present a Bachelor degree or international equivalent
with a minimum GPA of at least 5.5-7.0
with at least 8 courses in a cognate discipline which must also have a minimum GPA of 5.5-7.0 and must include at least 4 courses from the following disciplines computer science mathematics statistics or computational chemistry
The GPA requirement for this program must be met by both the program as a whole as well as by the 8 courses in a cognate discipline Where more than 8 cognate courses have been completed by the applicant ANU will take the best 8 courses when assessing the cognate GPA
IELTS - Overall score - 6.5, Reading - 6.0, Writing - 6.0, Listening - 6.0, Speaking - 6.0.
TOEFL IBT Paper Edition - Overall score - 80, Reading - 20, Writing - 20, Listening - 18, Speaking - 18.
TOEFL IBT Excluding Paper Edition and Home Edition - Overall score - 80, Reading - 20, Writing - 20, Listening - 18, Speaking - 18.
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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:160
- 其他语言考试:PTE Academic - Overall score 64 - Communicative Skills - Reading - 55, Writing - 55, Listening - 55, Speaking - 55.
CRICOS代码: 096440D
申请截止日期: 请与IDP顾问联系以获取详细信息。
课程简介
定量生物学和生物信息学理学硕士课程是为期2年的全日制(或等效的兼读制)学位,向学生提供使用方法和工具来组织和分析生物学数据的经验,包括统计学,数学和计算方面的知识。该课程可满足一系列学生的需求,包括(1)通过提供适当的数学和编程技能来获得本科生物学学位的学生,(2)通过提供必要的生物学背景来为具有更定量本科背景的学生提供服务以及生物学数据和分析。学生还将有机会学习和应用客户参与技巧和现实世界中的咨询实践。最后,学生将在原始的研究项目上开展工作,该项目建立在并运用了他们对定量生物学数据分析的知识上。定量
The Master of Science in Quantitative Biology and Bioinformatics is a 2 year full-time (or equivalent part-time) degree that provides students with experience in the use of methods and tools to organise and analyse biological data: statistically, mathematically and computationally. The course caters to a range of students including (1) students who have come from an undergraduate biological degree, by providing the appropriate mathematical and programming skills, (2) to students with a more quantitative undergraduate background, by providing the necessary background in biology and biological data and analyses. Students also have the opportunity to learn about, and apply, techniques in client engagement and the real-world practice of consulting. Finally, students will develop work on an original research project that builds on, and applies, their knowledge of quantitative biological data analysis.<br><br><br>Learning Outcomes<br>Demonstrate high level knowledge and an understanding of the mathematical, statistical and computational foundations of biological data analysis,<br>Formulate, apply and interpret appropriate quantitative methods to analyse biological data,<br>Interpret, synthesize and critically analyse published literature of relevance to quantitative biology and bioinformatics,<br>Advise, and provide assistance to others, on the appropriate use and interpretation of techniques for the analysis of biological data,<br>Develop and execute an independent research project that builds on, and extends, knowledge of quantitative biological data analysis,<br>Demonstrate a critical understanding of science in society,<br>Clearly communicate theory and results in both written and oral formats.
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