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Accessibility & LanguageMSc Health Data Science
MSc Health Data Science
Code: MSC-HDS | Mode of delivery: Full time, blended, 12 months | NFQ level: 9 | 90 ECTS | Teaching Starts: Sept 2024
Health Data Science is a rapidly growing discipline, where skilled people are in extremely high demand from industry due to data-led innovations across the sector. Health related data are generated from many sources including observational studies, clinical trials, computational biology, medical records, individual monitoring devices, health care claims, genetic and genomic epidemiology, environmental health, sports science and climate change.
The aim of the programme is to train a new generation of world-leading health data scientists with the essential statistical and computing skills needed to become data science specialists in the health care, biopharmaceutical and medical technology sectors.
Entry Requirements
The minimum entry requirement is an upper second class (or equivalent) class honours degree from a recognised University, in a relevant subject (e.g. statistics, health, biological/biomedical sciences, engineering, computer science, psychology) or evidence of achievement at postgraduate level. Performance in the last two years of study will be considered.
Why study this course?
The programme is run by our highly successful Sonraí Health Data Science Research Cluster, who are statisticians and bioinformaticians working in health, sports science and related fields within data science.
The programme is designed to train people from a wide range of backgrounds and we offer a a wide range of pathways via elective modules which are complementary to our data science core courses. These involve statistics, computer science, genomics, mathematics and health economics.
Data science skills are in unprecedented demand from many industries, particularly in healthcare. Data collection and data-led decision making is revolutionising service delivery. Graduates of the MSc in Health Data Science will develop the key statistical and computing skills needed to design studies, analyse, interpret and translate research findings to evaluate health care interventions, services, programmes, and policies.
Scholarships and grants
- Non-EU students can avail of some generous scholarships.
- High-performing EU students can apply for a Taught Master's Postgraduate Scholarship.
- Postgraduate students in receipt of a SUSI F4 grant receive €4,000 towards tuition (2024/25) and a P1 grant receives up to a maximum of €6,270 towards tuition.
Career Pathways
The graduates of this programme will be equipped with a skill set that is in high demand in the Healthcare, Pharma, MedTech, Biomedical, Sport Science and Health Insurance sectors as well as in academia. A quote from one of our industry partners:
"The current dearth of biostatistical and health data graduates and expertise leaves a gap across Irish industry. Internationally, this skill set is extremely hard to recruit for, and I am aware of current open positions in our Biostatistics group which would gladly recruit Galway based graduates with an M.Sc. in Health Data Science. With industry experience, a graduate holding this degree could expect to find work easily with remote working readily available, and, when coupled with the right management skill set, this masters would qualify for leadership roles within clinical, health economics and biostatistics functions in industry."
Non-EU students can learn about the 24-month Stayback Visa Option under the Third Level Graduate Scheme here.
