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专业概况
在这里学什么?Course description
This postgraduate degree will give you all the expertise you need to become a practising medical statistician. You will cover all relevant theory but with an emphasis on understanding, applying and adapting it to real-life circumstances. Your analysis skills will be developed on real medical data sets, using statistical software such as Stata, R, SAS and WinBUGS.
An important factor in the success of a practising statistician is the ability to communicate with others. To develop these skills, you will work on two mini-projects and will be introduced to consultancy skills throughout the course. The mini-projects involve analysing data arising from real problems and data sets and presenting a report on the findings.
Teaching and learning
Each module is taught in a week-long blocks using a variety of lectures, seminars and computer practicals, including sessions delivered by external practising medical statisticians. In between these teaching weeks you will complete the course work from the previous teaching weeks and start your preliminary reading for the next one.
Assessment is by coursework and exam. Many modules have an assessed coursework element involving the analysis of a real medical data set and the production of a concise written report. There are also mathematical and statistical computing-based courseworks.
Careers and employability
The demand for medical statisticians is high and many employers contact us with job opportunities and to give careers talks to try to recruit graduates.
所属院系
进入哪个院系学习? Department of Health Sciences中国学生入学要求
为来自中国的学生设计 Students must have completed a three-year college diploma from a Chinese university, you will need to take an accepted one-year Pre-Masters course or upgrade your diploma to a Bachelor’s degree before applying for a Master’s degree. English Language Requirements: IELTS 6.5 or equivalent.课程信息
学制:全日制(1 年)
学费:£16,825.00 (¥ 151,928) /年
开学时间:2022九月
申请截止日期:
留学地点:University of LeicesterUniversity Road,Leicester,Leicestershire,LE1 7RH, England
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