Applied Clinical Data Analytics (MSc)

Students must have completed one of the following:

1. An undergraduate degree in Nursing, Pharmacy, Physiotherapy, Medicine.
2. Another healthcare-related undergraduate degree with a minimum of 2nd Class Honours.
3. A biomedical related undergraduate degree with a minimum of 2nd Class Honours.

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.

For applicants where English is a second language, we adhere to University of Galway guidelines, requiring IELTS scores of 6.5, TOEFL scores of 88, and/or Pearson PTE scores of 61, with no less than 5.5 in any component. The Duolingo test score requirement is 110 overall, with no less than 110 in any one component, and valid for two years.

Applicants who do not meet the primary entry criteria as described above will be declined entry into the program. The remaining applicants will be reviewed in closer detail, with significant weight placed on: A) The applicant’s essay describing their motivation for applying to this course and their career aspirations following the successful completion of the MSc. B) The applicant’s previous academic performance. C) The applicant’s referee’s comments.

This programme is eligible under the Interim List of Eligible Programmes (ILEP,  Ireland's official register of approved educational programs that can accept international students requiring study visas, ensuring programs meet quality standards for immigration purposes.

*Or equivalent international qualification

There are various career paths in healthcare, research, and technology sectors. These roles often require a combination of skills in data analysis, and proficiency in relevant tools and technologies such as statistical software, database management systems, and programming languages like R that is taught on the Applied Clinical Data Analytics Masters.

Additionally, staying updated with advancements in healthcare regulations and technologies is crucial for success in these careers. 

Here are some roles aligned to the Masters: 

• Clinical Data Analyst: They analyse healthcare data to improve patient care, streamline operations, and support decision-making processes within clinical settings. 
• Healthcare Data Scientist: Leveraging advanced statistical and computational techniques, they analyse complex healthcare data to derive insights, predict trends, and develop data-driven solutions for healthcare challenges. 
• Clinical Informatics Specialist: They focus on integrating healthcare data with information technology systems to improve the efficiency and quality of healthcare delivery. 
• Clinical Research Coordinator: Responsible for managing and analysing data collected during clinical trials, ensuring compliance with regulatory requirements and ethical standards. 
• Epidemiologist: They investigate patterns and causes of diseases within populations, utilizing clinical data analytics to identify risk factors, track disease outbreaks, and inform public health interventions. 
• Healthcare Quality Improvement Specialist: They use data analytics to monitor and evaluate the quality of healthcare services, identify areas for improvement, and implement strategies to enhance patient safety and satisfaction. 
• Healthcare IT Project Manager: They oversee the implementation of data analytics projects, ensuring that they meet the needs of healthcare stakeholders while adhering to budget and timeline constraints.

The Masters also aims to enhance the current work of Healthcare professionals to become proficient clinical data analyst. 

Here are a few highlights of what you can expect from our programme:

• Cutting-edge Curriculum: Our curriculum is crafted in collaboration with industry experts to ensure its relevance and effectiveness. You'll have the opportunity to explore advanced topics in clinical data analytics, gaining a deep understanding of how data-driven insights can enhance patient care.
• Expert Team: Learn from accomplished clinical staff who bring a wealth of experience in both academia and healthcare. They are dedicated to providing guidance as you navigate the programme.
• Hands-On Experience: Embrace practical learning through real-world case studies and projects, allowing you to apply your newfound knowledge in meaningful ways.
• Networking Opportunities: Connect with a diverse community of professionals, fostering valuable relationships that extend beyond the classroom. Our program provides a platform for collaboration and knowledge exchange.
• If you have any specific questions or would like to discuss your academic and professional goals in more detail, please feel free to reach out. We are here to support you on your journey to becoming a proficient clinical data analyst.

Fellowship opportunities:

The programme was able to offer two student fellowships for 2024. The aim of the fellowship is to provide students a unique opportunity to get hands-on experience in Applied Clinical Data Analysis in the Clinical Research Facility, Galway. The fellowship will provide a stipend for its duration, for a maximum duration of 6 months.   

Who are these fellowship for? 

• Students undertaking a full-time Masters in Applied Clinical Data Analytics
• High-achieving, suitably qualified and dynamic individuals, with drive and passion, who want to obtain necessary skills and knowledge of data analysis in the Clinical trials environment.

Applications open during the Academic year and the Fellowships will run from March- August.

For 25/26 entrants, where the course duration is greater than 1 year, there is an inflationary increase approved of 3.4% per annum for continuing years fees.

Postgraduate students in receipt of a SUSI grant – please note an F4 grant is where SUSI will pay €4,000 towards your tuition (2025/26).  You will be liable for the remainder of the total fee.  A P1 grant is where SUSI will pay tuition up to a maximum of €6,270. SUSI will not cover the student levy of €140.

Note to non-EU students: learn about the 24-month Stayback Visa here. 

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