Course summary
The MSc in Health Data Science programme provides specialist training in the area of Health Data Science, aiming to educate current and future health data scientists, at all career stages, including those in the public and private sectors. Training is grounded in the team science approach to addressing important health research questions, including theory alongside practical application, and introducing you to new forms of health data. Team science communication skills development will be an essential component of each module of the programme. Please note that this programme is suitable for intercalating medical students. Developed by internationally excellent research groups in biostatistics, public health, and computer science, combined with a number of world-leading centres in strategic areas of health, the programme offers a rigorous curriculum with research-focused teaching, training, and development in health data science. The programme will expose you to core health research, statistics and computer science modules, with the opportunity to obtain specialised knowledge along a statistics track, computer science track, or a combination. The programme is in a blended format using both online and campus based delivery. It is available on both a full-time and part-time basis.
Modules
Compulsory modules: Introduction to Health Research, Data and Team Science Introduction to Statistics Using Routine Health Data for Applied Epidemiology 21st Century Evaluation of Healthcare Interventions Actionable Analytics Database and Information Systems Dissertation Optional modules: Advanced Biostatistics I - Joint Longitudinal & Survival Data Analysis and Prediction Modelling Advanced Biostatistics II - Analysis Methods for Complex Data Structures Advanced Biostatistics III - Statistical Genetics and Pharmacogenetics Computational Intelligence Data Mining and Visualisation Machine Learning and Bioinspired Optimisation
How to apply
International applicants
International students must have an IELTS score of 7 (no band lower than 6.5).
Entry requirements
Open to graduates from degree courses with a substantial quantitative methods content (specifically statistics and/or computer science elements). We also encourage applications from health-related professions or those with non-standard qualifications, who will be considered on their individual merits.
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
Provider information
University of Liverpool
The Foundation Building
765 Brownlow Hill
Liverpool
L69 7ZX