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Students
Tuition Fee
EUR 26,000
Per year
Start Date
Medium of studying
On campus
Duration
12 months
Program Facts
Program Details
Degree
Masters
Major
Health Informatics | Health Information Management | Health Information Technology
Area of study
Health
Education type
On campus
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
EUR 26,000
About Program

Program Overview


The MSc in Health Data Science from the University of Galway is a one-year program tailored for students with quantitative or biomedical backgrounds seeking to specialize in data science for the health sector. Through a combination of core and elective modules, statistical modeling, machine learning, and clinical research skills are developed. The program culminates in an interdisciplinary research project, providing graduates with the abilities to design studies, analyze data, and translate findings for evidence-based healthcare interventions and policies.

Program Outline


Health Data Science (MSc) - University of Galway


Degree Overview:

The MSc in Health Data Science is a one-year, full-time program designed to train students in the essential statistical and computing skills needed to become data science specialists in the health care, biopharmaceutical, and medical technology sectors. The program aims to equip graduates with the ability to design studies, analyze, interpret, and translate research findings to evaluate health interventions, services, programs, and policies. The program is tailored to cater to a wide range of student backgrounds, particularly:

  • Those with quantitative backgrounds: To focus their skills towards the needs of the health sector.
  • Biomedical, healthcare, and related professionals: To provide a path for retraining or upskilling in data science.
  • The program emphasizes the development of a broad range of skills in statistical modeling, machine learning, and clinical research, culminating in an interdisciplinary capstone research project with either an academic or industry focus.

Outline:

The 90 ECTS program is structured as follows:

  • Taught Modules (60 ECTS):
  • Core Modules (30 ECTS):
  • Statistics for Health Data Science
  • Clinical Research Design
  • Statistical Modelling in Health Data Science
  • Predictive Modelling and Statistical Learning
  • Causal Inference
  • Elective Modules (30 ECTS):
  • A broad range of electives across statistical data science, mathematics, bioinformatics, computer science, ethics, health, and health economics.
  • Research Project (30 ECTS):
  • Students work full-time on their individual or group research project following the semester two exam period.
  • Each student submits a health data science research dissertation and gives an oral presentation at the end of the term.

Assessment:

Students are assessed through a variety of continuous assessment and end-of-semester written examinations.

  • Continuous Assessment:
  • Written assignments
  • Data analysis projects (including programming)
  • Individual and group presentations
  • Research Project Assessment:
  • Literature review
  • Dissertation
  • Oral presentation

Teaching:

The modules are delivered by recognized experts in pure and applied health data science, including:

  • Statisticians
  • Bioinformaticians
  • Clinicians
  • Mathematicians
  • Health economists
  • Epidemiologists
  • Computer scientists
  • The program also features invited speakers from Medtech, Pharma, and Data Science.

Careers:

Data science skills are in high demand across many industries, particularly in healthcare. Graduates of the MSc in Health Data Science will be equipped with a skill set that is highly sought after in the following sectors:

  • Healthcare
  • Pharma
  • MedTech
  • Biomedical
  • Sport Science
  • Health Insurance
  • Academia

Other:

  • The program emphasizes the development of work-ready skills for the modern workplace, including assessments using dynamic reproducible research documents/presentations.
  • The program fosters the development of team working skills through group project work.
  • The program provides students with the opportunity to develop bespoke data science skills as needed for career development.
  • The program highlights the importance of understanding the regulatory environment and ethical considerations related to health data science.
  • The program emphasizes the importance of understanding the various sources of health-related data and sampling methods for data collection in clinical research.
  • The program provides students with the ability to collate, clean, and wrangle large diverse health-related datasets.
  • The program emphasizes the ability to identify the appropriate analysis needed and write a statistical analysis plan.
  • The program emphasizes the ability to communicate results effectively.
  • The program provides students with the opportunity to collaborate with peers from different domains to build work-ready skills.

|Fees Type | Fees| |:---|:---| | EU||€8,890 p.a. (including levy) 2024/25| | Tuition||€8,750 p.a. 2024/25| | Student levy||€140 p.a. 2024/25| | Non EU||€26,000 p.a. (€26,140 p.a. including levy) 2024/25|

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