Master of Science in Data Science for Health (Conversion)

University of Liverpool

UK,England

 0 Shortlist

12 Months

Duration

CAD 29,100/year

Tuition Fee

CAD 0 FREE

Application Fee

Sep 2025

Apply Date

UK, England

Type: University

Location Type: Urban

Founded: 1881

Total Students: 22,000 +

Int. Students: 7,700 +

Campus Detail

Main Campus Address

Liverpool L69 3BX, United Kingdom

Master of Science in Data Science for Health (Conversion)

Program Overview

The MSc in Data Science for Health (Conversion) programme aims to educate current and future health data scientists, at all career stages, including those in public and private sectors, in a research-intensive environment. The MSc introduces students to the basic and more complex methodologies involved in data science and incorporates the use of statistical and computational theory alongside practical application.

Students on the MSc in Data Science for Health (Conversion) will be exposed to a combination of core health research, statistics and computer science modules. It is aimed at students wishing to move into the field of data science irrespective of their background and previous training. The programme is run by the internationally renowned and research active Department of Health Data Science.

The programme will recruit internationally and bring together students from many different backgrounds and disciplines. The programme is relevant not just to students whose careers are likely to be in UK but also to equip students with international awareness to allow them to be globally competitive and become global citizens.

What you'll learn

  • The importance of Data Science to healthcare
  • The role of a health data scientist as a member of a healthcare team.
  • In-depth knowledge and a systematic understanding of the ethical, legal, and regulatory frameworks that impact on the conduct of health data science
  • A broad base of knowledge, equipping them with the ability to apply statistical and machine learning approaches to analyse health-related data and critically evaluate the findings
  • Professional skills including team science communication skills which will enable students to work as a successful data scientist in the public or private sector
  • The opportunity to obtain specialised knowledge along a statistics track, computer science track, or a combination.

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