The science of epidemiology underpins public health policy, dental science and health services research, and employs a large number of researchers around the world.
Biostatistics is the science of collecting, analysing, presenting and drawing inferences from data for research in medicine and health. Understanding of context is vitally important as methods developed in one area of statistics can be misleading when unthinkingly applied elsewhere.
The MSc in Epidemiology and Biostatistics has been developed to meet the growing need for the research community to possess excellence in biostatistical analysis, especially for the analysis of observational data.
You’ll learn a wide range of contemporary statistical methods and, most importantly, when and where they should be applied.
Graduates of this course have a wide range of career options, and are in demand in universities, government, national health services, non-government organisations and industry.
You'll be part of a world-renowned School and will be taught by internationally recognised scholars.
You can also study this programme part time over 24 months.
You’ll study modules totalling 180 credits. If you study this programme part time you will study fewer modules in each year.
You’ll take common core (compulsory) modules, including our innovative Professional Spine module, designed to give you the skills and experience to work effectively in research, public health or health services research. It includes, for example, ethics, academic writing for publication, consultancy, management and leadership skills.
You focus on one of these specialist themes, selecting up to three modules within it:
Statistical Epidemiology – you specialise in the advanced statistical methods that play a crucial part in modern epidemiological research. This includes latent variable methods (allowing models to vary across different subgroups of the patient population and multilevel techniques) taking into account the complex hierarchy of patients treated by clinical teams within hospitals.
Non-communicable Disease Epidemiology – you specialise in the epidemiology of diseases such as coronary heart disease, diabetes, cancer and congenital anomalies that are a leading cause of death worldwide. As well as understanding the biology, causes and trends of these diseases, you will also explore exposures (such as diet, chemicals, radiation, toxicology and lifestyle factors) including measurement, validation and study design.
Applied Population Health – you specialise in understanding the core principles underpinning a population health perspective and the practical application of population health sciences for improving health. Students will explore the application of epidemiology in understanding health and well-being and designing, delivering and evaluating preventative interventions.
The programme culminates in your research project, supervised by leading researchers in their field. In collaboration with the teaching team, you’ll choose, design, conduct and write your research project, tailored to your chosen specialism. You, can design a project yourself or can choose from a range designed by the supervisors.
The final outcome will be to write up a paper, suitable for journal publication. We’ll encourage you to submit the article, using our experience and reputation to help you.
We blend face-to-face teaching with technology to enhance your learning experience. Self-directed online learning lets you study at a pace that suits you, whilst face-to-face support allows you to explore individual areas of difficulty and extend your understanding.
You’re likely to experience:
We understand the importance of assessment and feedback in your learning. We provide assessment in as many modules as possible so that you can gauge your understanding of the key concepts.
You’ll get feedback in a variety of ways: through informal discussion with tutors, written feedback from formative assessments, marks obtained in both formative and summative assessments and peer-review from presenting projects and data.
Each module contains a summative assessment component (a more formal evaluation). Some of these will be done via continuous in-course assessment, and some as end-of-module assessment.
Our assessment and feedback will use a number of methods: