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MSc (Applied Clinical Data Analytics)

College of Medicine, Nursing & Health Sciences, School of Medicine
Title of Award
Master of Science
Average Intake
15
Delivery
On Campus
NFQ
Level 9
Award Type
Major
Next Intake
September 2025
Duration
1 year, full-time, 2 years, part-time
ECTS Weighting
90

Why Choose This Course?

Employability

Gain skills for roles in industry, academia, or healthcare research settings.

Scholarships

Subject to funding, competitive scholarships are available for outstanding and eligible applicants.

Practical Training

Gain extensive practical experience in data analytics through the R programming language through real-world case studies and projects.

Unique Course

From design to analysis learn to integrate study design principles with statistical and analytical methods.

Course Information

Accreditations & Awards

Aoife Boyle

Embarking on the Masters in Applied Clinical Data Analytics has significantly enhanced my understanding of health research and critical analysis. The course has equipped me with the ability to scrutinise complex health data with precision and insight. My theoretical knowledge is now solidly underpinned by practical analytic skills, acquired through hands-on database analytics. I am excited to harness both facets of my skillset to advance my career as a clinical pharmacist in promoting evidence- based medicine in critical care and increase my involvement in the analytics of electronic datasets.

Aoife Boyle

Student

Dr David Agular

During this masters, I have come to understand the relationship between data analysis and various facets of research. From designing and implementing research methodologies to ensure data integrity and quality, to selecting and reporting analysis methods, this programme has equipped me with the necessary tools to produce reliable and comprehensible research outcomes. The practical approach, combined with the support and mentorship from faculty members, allowed me to cultivate a deeper proficiency in the different domains of data analysis, motivating me to pursue my aspirations.

Dr. David Agular

Student

Dr. Reginald Cadlecott

Studying the MSc in Applied Clinical Data Analytics at has been a game changer. As a Clinical Tutor in Anaesthetics, I apply the skills daily in research, mentoring, and projects like the ESICM Datathon. The course gave me the confidence to explore complex datasets and use analytics to improve both research and patient care. Its blend of practical applications and theoretical foundations helped me develop real-world skills. Balancing clinical work with study was manageable, thanks to the supportive lecturers. I feel better equipped to lead and contribute to data-driven healthcare initiatives.

Dr. Reginald Cadlecott

Anaesthetist and Intensive Specialist Registrar

Dr. Clodagh McDermott

The MSc in Applied Clinical Data Analytics gave me a strong foundation for my PhD in stroke medicine and machine learning. Its focused, practical approach helped me apply analytics and machine learning to real research problems. The blend of research methods, statistics, and R programming deepened my skills in data analysis, visualisation, and machine learning. The content was well-designed and supported by approachable lecturers. This programme exceeded my expectations and is ideal for anyone pursuing healthcare research.

Dr. Clodagh McDermott

Student

Meet our Employers

Entry Requirements and Fees

Related Courses

Why University of Galway?

World renowned research led university nestled in the vibrant heart of Galway city on Ireland's scenic West Coast.

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World University Ranking

Based on the QS World University Rankings

1

Ranked first in Ireland for Sustainable Development

THE World Rankings

TOP
5

5th in the EU for our Commitment to Sustainability

Times Higher Education’s Impact Rankings

TOP
2
%

University of Galway is ranked in the Top 2% of Universities Globally

QS World University Rankings

Downloads

Postgraduate Prospectus 2025

Postgraduate Prospectus 2025

PDF (3.2MB)
Undergraduate Prospectus 2025

Undergraduate Prospectus 2025

PDF (12.4MB)

Meet Our Alumni

Course Introduction

Clinical data analytics for healthcare professionals 

 The taught postgraduate course in Applied Clinical Data Analytics employs a unique 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 all consist of real-world clinical datasets. 

Applied Clinical Data Analytics Handbook 2025
Applied Clinical Intro