Applied Clinical Data Analytics
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.
| Award Name | Degree - Masters (Level 9 NFQ) |
|---|---|
| NFQ Classification | Major |
| Awarding Body | National University of Ireland |
| NFQ Level | Level 9 NFQ |
| Award Name | NFQ Classification | Awarding Body | NFQ Level |
|---|---|---|---|
| Degree - Masters (Level 9 NFQ) | Major | National University of Ireland | Level 9 NFQ |
Duration
1 year, full-time (12 months); 2 years, part-time (24 months).
Entry Requirements
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.
Careers / Further progression
Career Opportunities
Well positioned to carryout robust data analysis and interpretation of your health data.
Strengthening opportunities for career progression in medicine, nursing and allied health.
Further information
Next start date September 2024
Average intake 15
Fees: EU €9,140 p.a. full-time; €4,605 p.a. (including levy) 2024/25
Fees: Tuition €9,000 p.a. full-time; €4,500 p.a part-time 2024/25
Fees: Student levy €140 p.a. full-time; €105 p.a. part-time 2024/25
Fees: Non EU €23,500 p.a. (€23,640 including levy) 2024/25
The applicant will submit their output through an online portal. Launch-date of that portal will be listed at https://www.universityofgalway.ie/courses/taught-postgraduate-courses/applied-clinical-data-analytics.html
Course applications are then made online via the University of Galway Postgraduate Applications System.
Closing Date
Please view the offer rounds website at https://www.universityofgalway.ie/postgrad-admissions/key-dates/
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.
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 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.
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.
Research project:
Self-directed research project with continuous supervision and feedback.
Assessment is via a combination of continuous assignments (70%) and written exams (30%), that will be 100% computer-based assessment.
E: clinicaldataanalytics@universityofgalway.ie
Programme directors
Dr Conor Judge,
School of Medicine
E: conor.judge@universityofgalway.ie
Dr Sonja Khan,
School of Medicine
E: sonja.khan@universityofgalway.ie