国际学生入学条件
You will have, or be predicted, at least a 2:2 degree in a strongly numerate subject (e.g. computer science, mathematics, physics), OR a 2:2 in a health/life sciences degree. Alternatively you will have demonstrably strong skills in maths, computing or engineering, but not necessarily a degree. Coding experience is not essential. We will assess your computer programming ability with a simple, short test early in the first term, the result of which will influence recommended modules. We will also use your personal statement and a short interview to determine which students receive full fees and stipend. IELTS: Overall score 6.5. No less than 6.0 in any section.TOEFL: Overall score 90 with minimum scores of 21 for writing, 21 for listening, 22 for reading and 23 for speaking.
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雅思考试总分
6.5
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- 雅思总分:6.5
- 托福网考总分:90
- 托福笔试总分:160
- 其他语言考试:Pearson: 67 with no less than 64 in all communicative skills
课程简介
Gain cutting edge skills in the field of health-related data, a rapidly growing area in which the UK excels with access to the largest biobanks, genomic and health services resources. This programme offers the chance to learn and apply your quantitative skills (e.g. computing, maths, statistics) in a health and medical setting, even if you have had no experience in health, medicine or biology. <br>This course offers an excellent platform into exciting career opportunities. Previous students have moved into new careers in the National Health Service as analysts, NHS digital, industry and research, including positions in data science and AI, with the Institute Pasteur, Office of National Statistics, IQVIA, Davita Kidney care, Optimum Patient Care, with the Institute of Cancer Research, in Clinical trials, and PhDs in the USA, University College London and Cancer research UK.<br>We are one of only six UK institutions chosen to deliver this training for Health Data Research UK (HDRUK) which means that we demonstrated scientific excellence, a track record in postgraduate training, innovative approaches to further education and strong institutional commitment. <br>This programme consists of a small but diverse cohort of students who share an aptitude for handling data with their coding skills, but come from a diverse range of backgrounds medicine, the NHS, maths, computer science and biosciences. This mix contributes to an excellent rapport between students. <br>Get the chance to perform research in the real world, with a range of exciting research project opportunities including those with placements in the NHS, large pharmaceutical companies and health data companies.
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