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Students
Tuition Fee
USD 28,968
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
USD 28,968
Intakes
Program start dateApplication deadline
2024-09-01-
About Program

Program Overview


Course Overview

Health Data Science is a rapidly growing discipline, where skilled people are in extremely high demand from industry due to data-led innovations across the sector. Health related data are generated from many sources including observational studies, clinical trials, computational biology, medical records, individual monitoring devices, health care claims, genetic and genomic epidemiology, environmental health, sports science and climate change.

The aim of the programme is to train a new generation of world-leading health data scientists with the essential statistical and computing skills needed to become data science specialists in the health care, biopharmaceutical and medical technology sectors.

This conversion MSc can be tailored around your skills, experience and interests to provide flexible opportunities for those with either strong quantitative backgrounds, or those with an interest in Healthcare that wish to develop their data science and data analytics skills. Graduates will develop the key statistical and computing skills needed to design studies, analyse, interpret and translate research findings to evaluate health interventions, services, programmes, and policies.

The modules will be delivered by recognised experts in pure and applied health data science including statisticians, bioinformaticians, clinicians, mathematicians, health economists, epidemiologists and computer scientists and invited speakers from Medtech, Pharma and Data Science.

The programme is tailored to allow a wide range of student backgrounds, but primarily to:

  • focus skills of those with quantitative backgrounds to needs of the health sector and
  • provide biomedical, healthcare and related professionals a path to retrain or upskill in data science.
  • The courses provide a broad range of skills in statistical modelling, machine learning and clinical research. These skills are brought to fruition in an interdisciplinary capstone research project with either an academic or industry focus.

    You will learn about sources of health related data, regulatory environment, ethics, the tools and skills to collate and analyse diverse datasets across various health domains, develop work-ready skills, and understand the varied roles of health data scientists. The wide range of backgrounds and experience of students will create a dynamic learning environment where students can collaborate with peers from different domains to build those work ready skills.  On completion you will have the core skills and expertise in the use of statistical data science theory, methods and tools for health and related applications.

    Data science skills are in unprecedented demand from many industries, particularly in health care. From precision medicine, to next-generation genomics, to individualised monitoring devices the growth in data collection and data-led decision making is revolutionising health care delivery. If you want to be at the forefront of this revolution in health care in Ireland or globally then this is the MSc for you.





    Applications are made online via the University of Galway Postgraduate Applications System. Selection is based on a combination of the candidate's academic record, CV including research/professional experience and personal statement (see Supporting Documents website). Applicants may be invited to interview.





    Who Teaches this Course

  • Dr Nicola Fitz-Simon
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    Students are formally assessed through a variety of continuous assessment and end-of-semester written examinations. Continuous assessment include written assignments, data analysis projects (including programming), and individual and group presentations. Assessment of the research project includes a literature review and dissertation, as well as an oral presentation.

    Program Outline

    Course Outline

    The learning outcomes for this course include:

  • Knowledge and experience of Statistical Data Science tools to analyse diverse health related data;
  • Understanding the various sources of health related data and sampling methods for data collection in clinical research;
  • The ability to collate, clean and wrangle large diverse health related datasets;
  • Being able to identify the appropriate analysis needed and be able to write a statistical analysis plan;
  • Developing interdisciplinary work ready skills and the ability to communicate results effectively;
  • The opportunity to develop bespoke data science skills as needed for career development.
  • The 90 ECTS programme will have:

    (a)   60 ECTS of taught modules (30 are core and 30 from electives) over both semesters; and

    (b)  a 30 ECTS research project

    The core taught modules are Statistics for Health Data Science, Statistical Computing for Biomedical Data, Clinical Research Design, Statistical Modelling in Health Data Science, Predictive Modelling and Statistical Learning and Causal Inference. The elective modules provide for a broad range of interests across statistical data science, mathematics, bioinformatics, computer science, ethics, health and health economics.

    Full-time students will complete the taught modules over Semesters 1 and 2, and complete the research project by the end of the term.

    A range of assessment styles will be used across the taught modules, including assignments, individual and group projects, presentations and exams. A key focus will be on the development of work-ready skills for the modern workplace, including assessments using dynamic reproducible research documents/presentations. The development of team working skills, integral to this interdisciplinary field, will be achieved through group project work.

    Following the semester two exam period, students will work full-time on their individual or group research project.  At the end of the term, each student will submit a health data science research dissertation and give an oral presentation.



    Why Choose This Course?


    Career Opportunities

    Data science skills are in unprecedented demand from many industries, particularly in Healthcare. From precision medicine, to next generation genomics, to individualised monitoring devices the growth in data collection and data-led decision making is revolutionising service delivery. Graduates of the MSc in Health Data Science will develop the key statistical and computing skills needed to design studies, analyse, interpret and translate research findings to evaluate health care interventions, services, programmes, and policies.

    The graduates of this programme will be equipped with a skill set that is in high demand in the Healthcare, Pharma, MedTech, Biomedical, Sport Science and Health Insurance sectors as well as in academia.



    About University of Galway

    Founded in 1845, we've been inspiring students for 178 years. University of Galway has earned international recognition as a research-led university with a commitment to top quality teaching.

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    University of Galway


    Overview:

    University of Galway, formerly known as National University of Ireland, Galway (NUI Galway / NUIG), is a research-led institution with a strong commitment to high-quality teaching. Established in 1845, it has earned international recognition for its academic excellence and vibrant research community. The university is known for its commitment to sustainability, ranking #1 in Ireland for sustainable development in the Times Higher Education World Rankings.


    Services Offered:

    The university offers a wide range of services to students, including:

      Accommodation Advisory Service:

      Assists students in finding suitable accommodation.

      Campus Activities:

      Provides opportunities for students to engage in various activities, including sports, clubs, and societies.

      Student Support:

      Offers a variety of support services, such as academic advising, career counseling, and mental health support.

      Study Abroad:

      Facilitates international study opportunities for students.

      International Office:

      Provides support and guidance to international students.

      Mature Students:

      Offers specific support and resources for mature students.

      Students with Disabilities:

      Provides accommodations and support for students with disabilities.

      Student Ambassador Programme:

      Connects students with prospective students and provides opportunities for leadership development.

      For Parents and Guardians:

      Offers information and resources for parents and guardians of students.

      Access Student Information:

      Provides access to student information systems and resources.

      Life in Galway:

      Offers information and resources about living in Galway city.

    Student Life and Campus Experience:

    University of Galway offers a vibrant and diverse campus experience. Students can expect:

    • A welcoming and supportive community.
    • A wide range of extracurricular activities and opportunities for personal growth.
    • A beautiful campus located in the heart of Galway city.
    • Access to state-of-the-art facilities and resources.
    • A strong sense of community and belonging.

    Key Reasons to Study There:

      Commitment to Sustainability:

      University of Galway is a leader in sustainability, offering a learning environment that cares for the planet.

      Research Excellence:

      The university boasts a vibrant research community tackling some of the most pressing challenges of our time.

      Global Recognition:

      University of Galway is internationally recognized for its academic excellence and research.

      Beautiful Campus:

      The university is located on a beautiful campus in the heart of Galway city.

      Vibrant City:

      Galway is a vibrant and welcoming city with a rich culture and history.

    Academic Programs:

    University of Galway offers a wide range of undergraduate and postgraduate programs across various disciplines, including:

      Arts, Social Sciences, & Celtic Studies

      Business, Public Policy and Law

      Medicine, Nursing & Health Sciences

      Science and Engineering

    The university is particularly strong in areas such as:

      Medicine

      Engineering

      Business

      Arts and Humanities

      Celtic Studies


    Other:

    • The university has a strong focus on community engagement and outreach.
    • It has a large and active alumni network.
    • The university is a member of the National University of Ireland (NUI).

    The provided context does not include information about the following sections:

      Fees & Funding:

      Modes of Study:

      Open Days:

      Scholarships:

    Total programs
    285
    Admission Requirements

    The minimum entry requirement is an upper second class (or equivalent) class honours degree from a recognised University, in a relevant subject (e.g. statistics, health, biological/biomedical sciences, engineering, computer science, psychology) or evidence of achievement at postgraduate level. Performance in the last two years of study will be considered. Students with insufficient quantitative background must pass a preparatory course.

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