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About University of Galway
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MSc Applied Clinical Data Analytics
MSc Applied Clinical Data Analytics
Code: ACA1; ACA2 | Mode of delivery: Full time, blended, 12 months | NFQ level: 9 | 90 ECTS | Teaching Starts: Sept 2023
University of Galway have launched a new graduate course in Applied Clinical Data Analytics that employs a unique and innovative spiral curriculum, designed specifically for training healthcare professionals in analysis of clinical data.
The program will be delivered by domain experts in Clinical Data Analytics from primarily within the School of Medicine and wider CMNHS. Working within a dynamic active learning environment on clinical data will facilitate the development of profession appropriate, individual, collective and inter-professional data skills. Assignments are all real-world examples of clinical research including clinical trials, systematic reviews, observational research, and data from administrative clinical datasets.
Entry Requirements
- Applicants must hold a healthcare related (medicine, nursing, pharmacy and allied health and social care professional degrees approved by CORU) undergraduate degree with a minimum of 2nd Class Honours.
- A minimum overall score of 7.0 IELTS, with no less than 6.5 in any one band.
- Applicants must also complete and pass an introduction module, which is part of the entry requirement. The aim of the introduction module is to test ability to follow simple instructions and show a fundamental aptitude for applied data analysis. The assignment is a pass/fail, pass if they submit the correct output and fail if they do not.
Applicants are required to download and install RStudio and Git. Start a new RStudio project, download and modify an R markdown file with code to generate the candidates CV from ORCID. The applicant will submit their generated CV through an online portal.
Why study this course?
The course is designed to train healthcare workers without a background in data analytics, statistics, or computer programming, to analyse and interpret healthcare data.
- Applies research and data analytics knowledge to clinical and health data to effectively answer research questions.
- We will teach students to understand and learn how to apply traditional statistical techniques and machine learning by completing weekly assignments and end of year thesis.
- Students will learn data import, cleaning, exploration and analysis using the R programming language and R packages for data analysis, machine learning and source control using GitHub.
- We will teach research methodology and appropriate statistical analysis using R for randomised controlled trials, systematic reviews, case control studies and cohort studies.
Career Pathways
Graduates of the MSc in Applied Clinical Data Analytics will benefit in several ways for their career.
It is a requirement of all Basic and Higher Specialist Training to perform audit and research. Research is often seen as a differentiator for candidates progressing from Basic Specialist Training to Higher Specialist Training. Graduates will have the tools to fill this research gap in their careers.
Nursing and allied health practitioners who conduct research are more likely to be selected for career promotions like advanced nurse practitioner and senior grade allied health.
There is a deficit of trained clinician scientists in Ireland. The MSc in Applied Clinical Data Analytics will provide an excellent foundation for a long-term career as a clinician scientist
