国际学生入学条件
A four-year Honours Bachelor degree with a significant statistics and/or actuarial science component.
An overall 78% average from a Canadian university (or its equivalent).
An interview may be required.
Application material
Resume
Supplementary information form (SIF)
The SIF contains questions specific to your program, typically about why you want to enrol and your experience in that field. Review the application documents web page for more information about this requirement
If a statement or letter is required by your program, review the writing your personal statement resources for helpful tips and tricks on completion
Transcript(s)
References
Three references normally from academic sources
Proof of English language proficiency, if applicable
TOEFL 90 (writing 25, speaking 25), IELTS 7.0 (writing 6.5, speaking 6.5)
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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:90
- 托福笔试总分:160
- 其他语言考试:PTE (Academic) - 63 (writing 65, speaking 65)
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
Biostatistics is an exciting field of statistics concerned with the development and application of statistical methods to problems arising in health, biology, and the environment. Biostatisticians can play important roles in many facets of research including refining the research question, designing studies, analysing data, making predictions, and critical appraisal. The increasing number of pressing problems in health, biological, and environmental research often warrants the development of innovative statistical methods. Biostatisticians are often best equipped to make these innovations.The demand for biostatisticians in Canada and internationally is very high and graduates typically find excellent employment opportunities upon completion of their studies. Stimulating employment opportunities are often found in places such as pharmaceutical companies, contract research organizations, regional or national centers for health research, academic centers, and public health agencies.The MMath in Biostatistics and PhD in Biostatistics are highly regarded within and outside of the university. These programs ensure students are trained in the foundations of scientific methods, statistical analysis, and computing to equip them to deal with a wide range of challenges arising in health and biological research. Specific topics include clinical trial design, epidemiological methods, generalized linear models, longitudinal data analysis, event history analysis, stochastic processes, and statistical computing.
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