University of Galway

Overview

The MSc in Applied Clinical Data Analytics at the University of Galway is designed to equip healthcare professionals with the skills to analyze and interpret clinical and health data using contemporary statistical techniques and machine learning methods. Students will engage with real-world datasets, enhancing their practical abilities in R programming and research analytics.

What you'll study

This 12-month program combines foundational and advanced coursework in healthcare research methodology, statistics, and data analytics. Students will develop skills through a series of applied modules, culminating in a capstone project or thesis that addresses a significant clinical question.

Core modules

• Health Research Methodology
• Applied Medical Statistics
• Clinical Data Analytics
• Clinical Data Analysis Thesis

Key learning activities include:

• R-based data workflows: encompassing data importing, cleaning, exploratory analysis, and modeling.
• Statistical and machine learning techniques: applied to healthcare research study designs.
• Reproducibility and collaboration: utilizing GitHub for effective version control and project management.
• Capstone/thesis project: an in-depth research initiative applying analytics to a clinically relevant issue.

Curriculum details: For comprehensive module information, learning outcomes, and potential elective options, please refer to the University of Galway program website.

Entry requirements

Applicants should hold an undergraduate degree in a healthcare or biomedical-related field with at least a Lower Second Class Honours or an equivalent qualification.

Career prospects

Graduates of the MSc in Applied Clinical Data Analytics are well-prepared for various roles in healthcare analytics, clinical research, and data-driven decision-making within health organizations. The skills acquired during the program enable graduates to contribute effectively to the evolving landscape of data analytics in healthcare.