“By creating we think, by living we learn” Patrick Geddes
| Degrees available: |
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| Academic School: | College of Medicine, Dentistry and Nursing |
| How to apply: | Apply online via UKPASS |
| Status: | This course is open for applications for September 2012. |
| Fees: |
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The application of statistical methods plays an essential role within the medical sciences and health related disciplines. This course will provide students with the understanding and practical expertise in applying cutting-edge statistical methods that are widely used in health and medical research and in epidemiology. A major strength of the course is that it focuses on the application of statistical methods, giving students the experience in handling and analysing data.
Dundee is ideally placed to deliver this course. Co-Director of the course, Professor Peter Donnan, leads the Dundee Epidemiology and Biostatistics Unit (DEBU) and is Co-Director of the Tayside Clinical Trials Unit (TCTU) which has UK registration. The Division also houses the internationally renowned Health Informatics Centre (HIC) which provides researchers access to anonymised record-linked routinely collected NHS patient datasets for the whole population. Students will therefore be working in a research rich environment for both observational studies and clinical trials where a variety of study designs and data analyses are used to improve health and the quality of healthcare.
This course shares core modules with the Master of Public Health course.
To enable students to understand statistical principles and to provide them with the practical skills to apply and interpret the range of statistical methods that are widely used in health related disciplines.
The course is comprised of a taught component, which takes approximately six months, followed by a period of research and writing a dissertation.
Components of the taught programme are:
Dissertation projects will be supervised by researchers based in the Dundee Epidemiology and Biostatistics Unit (DEBU), the Health Informatics Centre (HIC) and Population Health Sciences as well as elsewhere within the medical school. It is envisaged that many students may be able to work in conjunction with researchers on commissioned research projects.
Examples of projects that led to high impact publications using the Tayside data:
Donnan et al. Development of a decision support tool for primary care management of patients with abnormal liver function tests without clinically apparent liver disease: a record-linkage population cohort study and decision analysis (ALFIE).
Health Technol Assess 2009; 13(25): 1-156
McCowan et al. Cohort study examining tamoxifen adherence and its relationship to mortality in women with breast cancer.
Br J Cancer, 2008; 99: 1763-8.
Donnan et al. Development and validation of a model to Predict Emergency admissions Over the Next Year (PEONY): A UK historical cohort study.
Arch Int Med 2008; 168: 1416-1422.
The focus of the course is on the application of statistical methods that are widely used in health related disciplines. Graduates of the course will be equipped with the knowledge and skills to pursue a career applying statistical methods within medicine, national health services, government or policy organisations, the pharmaceutical industry or academia.
A variety of teaching methods will be used, including: lectures, practical classes and demonstrations; small group teaching, supervised study, tutorial sessions, seminars, presentations, invited speakers and discussion groups.
One-on-one supervision of the dissertation by a single tutor is designed to promote continuity in the learning experiences provided.
Assessment will include exams, oral and written presentations, problem-solving assignments and feedback, and computer assignments.
Applicants are normally required to hold a first class or upper second class degree in a health related topic and/or in subjects with some mathematical or statistical components including medicine, the social sciences, biology or physics.
The course is particularly apposite for researchers working in health related areas or the pharmaceutical industry; for health professionals who are interested in study design or data interpretation; and for information analysts.
English Language Requirement: IELTS of 6.5, with minimum of 6.0 in the Writing component and a preferred 6.0 in the other three components (no component below 5.5) (or equivalent), if your first language is not English. Please check our Language Requirements page for details of equivalent grades from other test providers, and information about the University of Dundee English Language courses.
The School of Medicine is not currently offering any school scholarships.
Other sources of funding for postgraduate students can be found on our scholarships webpage.
Course Co-director |
Course Co-director |
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Dr Linda Irvine Population Health Sciences University of Dundee Mackenzie Building Kirsty Semple Way Dundee DD2 4BF Scotland Telephone: 01382 420110 (from the UK) Telephone: +44 1382 420110 (from outside the UK) Fax: 01382 420101 (from the UK) Fax: +44 1382 420101 (from outside the UK) Email: m.a.j.irvine@dundee.ac.uk |
Professor Peter Donnan Dundee Epidemiology and Biostatistics Unit (DEBU) Population Health Sciences University of Dundee Mackenzie Building Kirsty Semple Way Dundee DD2 4BF Scotland Telephone: 01382 420019 (from the UK) Telephone: +44 1382 420019 (from outside the UK) Fax: 01382 420101 (from the UK) Fax: +44 1382 420101 (from outside the UK) Email: p.t.donnan@dundee.ac.uk |
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