Choosing a course is one of the most important decisions you'll ever make! View our courses and see what our students and lecturers have to say about the courses you are interested in at the links below.
Each year more than 4,000 choose University of Galway as their University of choice. Find out what life at University of Galway is all about here.
About University of Galway
About University of Galway
Since 1845, University of Galway has been sharing the highest quality teaching and research with Ireland and the world. Find out what makes our University so special – from our distinguished history to the latest news and campus developments.
Colleges & Schools
Colleges & Schools
University of Galway has earned international recognition as a research-led university with a commitment to top quality teaching across a range of key areas of expertise.
- Research & Innovation
Business & Industry
Guiding Breakthrough Research at University of Galway
We explore and facilitate commercial opportunities for the research community at University of Galway, as well as facilitating industry partnership.
- Alumni & Friends
At University of Galway, we believe that the best learning takes place when you apply what you learn in a real world context. That's why many of our courses include work placements or community projects.
Applied Clinical Data Analytics (MSc)
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 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 an 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 prospective cohort studies.
Applications and Selections
- The applicant will submit their output through an online portal. Launch-date of that portal will be listed herre.
- Course applications are then made online via the University of Galway Postgraduate Applications System.
Who Teaches this Course
- Dr Conor Judge, School of Medicine
- Professor Martin O’Donnell, School of Medicine
- Professor Andrew Smyth, School of Medicine
- Dr Catriona Reddin, School of Medicine
Requirements and Assessment
Assessment is via a combination of continuous assignments (70%) and written exams (30%), that will be 100% computer-based assessment.
- Applicants must hold a healthcare related 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.
Recognition of Prior Learning (RPL)
1 year, full-time (12 months); 2 years, part-time (24 months).
Next start date
A Level Grades ()
QQI/FET FETAC Entry Routes
Please view the offer rounds website.
Mode of study
University of Galway have launched a 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 programme will be delivered by domain experts in Clinical Data Analytics from primarily within the School of Medicine and wider College of Medicine, Nursing and Health Science. 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.
Full-time students must complete six core modules (Figure 1) across semester 1 and 2 worth 60 ECTS. Students are also required to complete a Thesis project (30 ECTS) split into two parts. Part-time students complete this program over 2 years, completing 40 ECTS in year 1 and 50 ECTS in year 2 (Figure 2).
Range of Teaching/Formal Learning:
Tutorial-based teaching, flipped classroom, problem based learning, real life case studies will be applied and students will learn by applying statistical tools to work through data sets.
Self-directed research project with continuous supervision and feedback.
Figure 2—Term Overview for MSc Applied Clinical Data Analytics (part-time)
Why Choose This Course?
- Well positioned to carryout robust data analysis and interpretation of your health data.
- Strengthening opportunities for career progression in medicine, nursing and allied health.
Who’s Suited to This Course
Transferable Skills Employers Value
Related Student Organisations
Fees: Student levy
Fees: Non EU