国际学生入学条件
Academic requirements/experience
Minimum second-class (2:2) Honours degree or overseas equivalent.
Mathematical training to A Level or equivalent standard.
Prospective students with relevant experience or appropriate professional qualifications are also welcome to apply.
For Australia and Canada, normal degrees in relevant disciplines are accepted.
IELTS - 6.0 overall (no individual band less than 5.5)
TOEFL ibt - 73 overall, with the following minimum scores in each component- (Listening- 17 Reading- 18 Speaking- 20 Writing- 18)
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雅思考试总分
6.0
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雅思考试指南
- 雅思总分:6
- 托福网考总分:73
- 托福笔试总分:160
- 其他语言考试:PTE - 60 overall, with a minimum of 59 in each component
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
卫生科学中应用统计学的这些独特硕士课程为应用统计学家的职业发展提供了开端,而以前没有研究过统计学。该课程与环境,食品和农村事务部(Defra)的执行机构动植物卫生局(APHA)合作进行。来自APHA的统计人员以及在苏格兰国家卫生局工作方面具有丰富经验的统计人员,将围绕现实生活中的问题和来自卫生科学的数据提供讲座。尽管该计划侧重于健康,但是所提供的技能还将为您提供必要的培训,以使其在保险,金融和商业等其他领域担任应用统计学家。第一学期涵盖的三个模块将使您掌握基本的概率和数据分析技能。在第二学期中,有四个模块
Our MSc in Applied Statistics in Health Sciences is a conversion course, offering the opportunity to develop skills in statistics and data analysis even if you have never studied statistics before. You will be supported programme by members of staff who work directly with industry to develop skills which are relevant to current areas of research including population health and medicine, animal and plant health, finance and business.Students will gain skills in:problem solving<br>analysis and manipulation of complex data<br>the use of statistical software for data analysis and reporting<br>effective communication of statistics.<br>What you'll study<br>The three modules covered in Semester 1 will equip you with fundamental probability and data analysis skills.In Semester 2 there are four modules studying full-time on campus. Each focuses on a different applied element of being a statistician. The course concludes with a research project that will involve the analysis of a real-life data set.Programme skills set<br>On the MSc Applied Statistics in Health Science programme you'll have the opportunity to acquire:an in-depth knowledge of modern statistical methods used to analyse and visualise real-life data sets, and the experience of how to apply these methods in a professional setting<br>skills in using statistical software packages used in government, industry and commerce<br>the ability to interpret the output from statistical tests and data analyses, and communicate your findings to a variety of audiences including health professionals, scientists, government officials, managers and stakeholders who may have an interest in the problem<br>problem-solving and high numeracy skills widely sought after in the commercial sector through the contacts with APHA and NHS staff, an understanding of what it's like to work as an applied statistician in practice including, for example, during disease outbreaks.<br>Course content:<br>Throughout your studies, you will take 80 credits of compulsory taught classes, 40 credits of elective taught classes, and in the third (summer) term you'll also undertake your MSc Project (60 credits)<br>Accreditation: Royal Statistical Society: MSc graduates may qualify for GradStat status<br>Careers:<br>There are many exciting career opportunities for graduates in applied statistics. The practical, real-life skills that you'll gain means you'll be much in demand in international organisations. A report by the Association of the British Pharmaceutical Industry identified statistics and data mining as “two key areas in which a 'skills gap' is threatening the UK's biopharmaceutical industry.”Graduates from the MSc Applied Statistics programme have gone on to be employed in a number of different sectors such as:Clinical Trials Statistician at Usher Institute<br>Data Analyst at Bending Spoons<br>Associate Statistician at Thermo Fisher Scientific<br>Biostatistician at Optical Express<br>Statistician at Phastar (x7)<br>Statistician at Quotient Sciences (x3)<br>Information Analyst at NHS Scotland<br>Statistician at Scottish Government (x4)<br>Statistician at Abbots Diabetes Care<br>Medical Statistician at University of Oxford<br>Credit Risk Analyst at Clydesdale Bank<br>Statistical Analyst at Medpace<br>Data Scientist at Scottish Water<br>PhD studentship in social sciences
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