国际学生入学条件
In addition to satisfying the requirements of the Cardiff University General Entrance Requirements, meeting English language requirements of IELTS 7.5 with at least 6.5 in each subsection, at the discretion of the relevant Board of Studies, applicants will:
normally possess a minimum of an upper second-class (or equivalent) primary degree in a bioscience or computing or mathematics/statistics.
Graduates in other subject areas with a degree awarded by a recognised Institution will be considered by the course Admissions Committee.
At the discretion of the Board of Studies, non-graduates whose relative lack of formal qualifications or graduates who were awarded a lower-second class (or equivalent) degree may be accepted for study by compensation for their relevant work experience. The candidate must provide evidence that they have held, for a minimum period of two years, a position of responsibility relevant to the programme.
You will also need to provide a personal statement. Your personal statement should provide information that is relevant to your application for admission to tell us why you wish to follow this programme, what benefits you expect to gain from it, and what skills and experience you possess which make you a suitable applicant. You must use the questions below as headings in your document:
1. What motivates you to apply for this course?
2. How would you describe your computer literacy and what coding experience do you have?
3. How would you describe your knowledge of statistics?
4. How would you describe your knowledge of molecular biology and genetics?
5. If you have previously applied for this course and were unsuccessful, describe what further experience you have gained which may strengthen your application.
TOEFL IBT- At least 109 overall
International Baccalaureate English A: Language and Literature (first language)- HL 6
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雅思考试总分
7.5
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雅思考试指南
- 雅思总分:7.5
- 托福网考总分:109
- 托福笔试总分:160
- 其他语言考试:PTE- At least 80 overall
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
The aim of this programme is to provide individuals with a platform to explore, analyse and interpret contemporary biological data. This course offers Masters level instruction in Bioinformatics and Genetic Epidemiology with a focus in genetic epidemiology. <br><br>With a focus on genetic epidemiology, this programme is ideal for graduates from a life sciences, mathematics, or computer sciences discipline.<br><br>It will provide you with the skills and knowledge of computational and statistical biosciences to prepare you for a challenging career in academic research, biotechnology, or the pharmaceutical and healthcare industries.<br><br>Bioinformatics is the field of study that utilises computational tools to understand biology. Genetic Epidemiology is the study of how genetic factors play a role in determining health and disease, and their interplay with the environment. As well as developing core skills in computational and statistical biosciences, you will focus gene discovery approaches including GWAS, explore copy-number variation (CNV) analysis, and post-GWAS approached such as pathway/network, gene-set and polygenic epidemiological methods.<br><br>This programme has been designed to meet the growing demand from academic research, biotechnology and the pharmaceutical and health care industries for capable informaticians with bioinformatics skills. We will provide instruction in computational and statistical biosciences and you will foster the additional complementary skills required to enable you to work effectively within a multidisciplinary bioinformatics arena.
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