Course summary
This programme is for those with an interest in developing data science research skills within the field of health and gives direct authentic experience in developing and delivering a novel empirical research project to answer a specific gap in existing knowledge in health data science. You will be able to choose from a series of taught modules suited to your research interests which will develop of your academic background and skills. Modules cover a range of core health research, epidemiological and statistical topics, with the option to follow various specialist statistical pathways. Who is this course for? The MRes in Data Science for Health is for current and future health data scientists, at all career stages, including those in public and private sectors. This course is designed for anyone with an interest in data science for health, irrespective of previous training or qualifications. What you'll learn
- Communicate information, ideas, problems, and solutions to both specialist and non-specialist audiences
- Select and apply relevant methods to analyse data and interpret their validity
- Critically appraise literature, concepts, and research techniques related to research in data science
- Apply advanced statistical methods to the analysis of health data
- Use originality of thought and self-directed learning skills to tackle and solve problems
- Plan and conduct an original piece of research in health data.
Modules
Full module details are available on the course page on the University website.
Qualified teacher status (QTS)
To work as a teacher at a state school in England or Wales, you will need to achieve qualified teacher status (QTS). This is offered on this course for the following level:
- Course does not award QTS
How to apply
International applicants
Applications from international students are welcomed. Country specific information on entry requirements is listed on our website: https://www.liverpool.ac.uk/international/countries/. All applicants must have reached a minimum required standard of English language and are required to provide evidence of this, unless you’re from a majority English speaking country. We accept a variety of international language tests and country-specific qualifications which can be found on our international webpages. International applicants who do not meet the minimum required standard of English language can complete one of our Pre-Sessional English courses to achieve the required level.
Entry requirements
Applicants with any academic background will be considered, as students will be trained on basic statistical and computing skills. As such, there is no minimum entry requirement for this programme, but an acceptable English language qualification (IELTS 6.5 or equivalent, with no band less than 6.0) is required to ensure students can access the programme material which is all delivered in English.
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Please see the course page on the University website for full fee details.
Provider information
University of Liverpool
The Foundation Building
765 Brownlow Hill
Liverpool
L69 7ZX