Course description
Health Data Science
Data science is revolutionising how medicine is understood, how biomedical research is conducted and how healthcare is delivered. Despite the widely-recognised opportunities that data can bring to biomedicine and healthcare, there is a shortage of data skills in the healthcare sector. This course offered by the Usher Institute aims to equip healthcare professionals with the key foundations and data skills that are needed for data-driven innovation. It provides a gentle introduction to key concepts, principles and methods of data science in health, enabling you to explore the potential for data to transform healthcare. You will learn how to use current data science tools to process healthcare data for effective analysis and reporting and gain practical experience in working with data. You will also gain critical understandings of ethical and legal implications of working with healthcare data.
Do you work at this organisation and want to update this page?
Is there out-of-date information about your organisation or courses published here? Fill out this form to get in touch with us.
Suitability - Who should attend?
Entry Requirements
As this course is designed mainly for health and care professionals, we expect our students to have qualifications or work experience in such environments (e.g. NHS National Services, Acute/Community/Public health), Third sector organisations, Social Services, Nursing homes, pharmaceutical companies, diagnostic laboratories, etc.). An understanding of the fundamentals of maths and statistics (at Higher level) would be advantageous but is not a prerequisite for joining the course.
You should be educated to a degree level as this course is catering for those seeking postgraduate academic credit. However, professionals who are involved with managing services and caseloads and have 5 years of work experience may also apply even if they do not hold a degree qualification.
Check whether your international qualifications meet our general entry requirements:
English Language Requirements
You must be comfortable studying and learning in English if it is not your first language.
Outcome / Qualification etc.
ECTS Credits: 5
By the end of this course, you will be able to:
- Explain and critically discuss key concepts, principles and methods of data science in health.
- Apply a range of specialised data science techniques to different medical and healthcare scenarios.
- Analyse health data with the use of the R programming language, including summarisation, visualisation and interpretation.
- Critically examine the ethical, societal and regulatory principles and implications of data science in health.
Expenses
Course fees for 21/22 are £960, but funded places are available for people employed, unemployed or furloughed in Scotland who meet Scottish Funding Council eligibility criteria.
Determining eligibility for a funded place for upskilling takes a number of things into account, including fee status, but also location of employer.
Please contact the provider for more information.