Master of Science in Applied Clinical Data Analytics University of Galway, Ireland

The taught postgraduate course in Applied Clinical Data Analytics employs a unique and innovative spiral curriculum, designed specifically for training healthcare professionals in analysis of healthcare data. Domain experts in Clinical Data Analytics from the College of Medicine, Nursing and Health Sciences will deliver the program. Assignments are all real-world examples of clinical research including clinical trials, systematic reviews, observational research, and data from administrative clinical datasets.

The taught postgraduate course in Applied Clinical Data Analytics employs a unique and innovative spiral curriculum, designed specifically for training healthcare professionals in analysis of healthcare data. 

The course is designed to teach students without a background in data analytics, statistics, or computer programming, to analyse and interpret healthcare data. 

Applicants from non-healthcare related degrees will be considered on a case-by-case basis at the discretion of the coordinators (minimum requirement of 2nd Class Honours). Applicants with significant relevant experience will also be considered. 

The course is designed to train healthcare workers without a background in data analytics, statistics, or computer programming, to analyse and interpret healthcare data.

• You will learn from domain experts in Clinical Data Analytics from the College of Medicine, Nursing and Health Sciences.
• You will learn to apply research and data analytics knowledge to clinical and health data in order to effectively answer research questions.
• You will learn how to apply traditional statistical techniques and machine learning methods by completing weekly assignments and an end of year thesis. Assignments are all real-world examples of clinical research including clinical trials, systematic reviews, observational research, and data from administrative clinical datasets.
• You will learn how to import data, conduct data cleaning, exploratory data analysis and how to develop and execute statistical analysis plans using the R programming language and R packages for data analysis, machine learning and how to use source control using GitHub.
• You will learn health research methodologies and appropriate statistical analysis using R for randomised controlled trials, systematic reviews, case control studies, and prospective cohort studies.