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Health Data Science for Applied Precision Medicine MSc

University of Dundee
12 months
Full time
Master's degree
Scholarships available

About this program

Health Data Science for Applied Precision Medicine MSc

Precision medicine is an area of growing importance globally. It integrates genome and biomarker data with big data from healthcare to target safe, effective treatments to individual patients. Understanding why individuals differ in susceptibility to disease and response to treatment has clear benefits, as the global Covid-19 pandemic has highlighted.

You’ll access anonymised real healthcare data linked to genome and clinical imaging data, and use expertise from renowned biomedical scientists to gain applied skills and knowledge in the field.

This unique bioresource, linked to medical records at the University of Dundee, has played a major role in globally significant research and continues to impact our understanding of Covid-19.

Throughout the course you’ll learn by doing. This will involve:

  • examining principles and current practice of precision medicine and its clinical benefits
  • gaining data management and governance skills for research use of medical data using R statistical software
  • exploring epidemiology and population genetics and how genes influence drug response and side effects (pharmacogenetics)

You’ll gain knowledge and experience of bioinformatics techniques, machine learning, deep learning and artificial intelligence applied to healthcare data, including imaging. You’ll also learn how to produce a grant application and design, carry out, interpret and report a systematic review.

A final research project using advanced techniques will help you consolidate your data science skills in the context of this field.

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Admission requirements

Graduate Entry

You will need at least an upper second class degree in a relevant scientific discipline (for example biological or medical sciences), or an appropriate health professional qualification such as medicine and allied health professions.

All prospective students will need to undergo a technical interview to ensure they have the necessary background knowledge to undertake the course.

English language requirements

IELTS Academic

  • Overall - 6.0
  • Reading 5.5
  • Listening - 5.5
  • Speaking 6.0
  • Writing 6.0

For more information about admission requirements, please visit the university website.

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Program content

Core Modules

These modules are an essential part of your course.

  • Epidemiology
  • Precision Medicine: Principles and Practices
  • Fundamentals of Applied Health Data Science for Precision Medicine Research
  • Research Methods
  • Advanced Applied Health Data Science
  • Machine Learning and Artificial Intelligence Methods in Healthcare
  • MSc Health Data Science for Applied Precision Medicine - Dissertation

Scholarships & funding

Several scholarship options are available. Please visit the university website for more information.


Tuition fees:

  • Scotland: £ 9,600 per year of study
  • Ukraine: £ 9,600 per year of study
  • England, Wales, Northern Ireland, and Republic of Ireland: £ 9,600 per year of study
  • International: £ 24,100 per year of study

Career paths

Precision medicine is a multidisciplinary subject and therefore this course is designed to be flexible for a wide range of backgrounds. This includes healthcare professionals wishing to gain a broad base for practical experience in precision medicine as well as bioinformaticians and computer scientists interested in applying their skills in this area.

Whatever your background, you’ll develop a comprehensive understanding of the field. You will enhance your capabilities in disseminating research work as well as develop transferable skills in critical thinking, and applying knowledge to problems and systems that are relevant to your current or future place of work. You will understand the process for successful application of precision medicine in a healthcare system.

Roles in the field include lab-based biomedicine and computational scientists, geneticists, bioinformaticians, data analysts, and clinicians. There are also opportunities for commercial development roles.

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About this institute

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