QS Rank:

165

University of Liverpool

Liverpool
,United Kingdom

Program Rank

201

Program Name
Masters in Data Science for Health

Deadline
August 28th, 2026
Overview

Total Tuition Fees
$32,200

Duration
12 Months
Ranking
#155
US World and News Report
#178
The World University Rankings
#165
QS World University Rankings

Intake
Fall ( Sept - Nov )

Intake
Spring ( Apr - June )
Class Profile

Class Size
25

Average Age
22

Average Work Experience
2 Years
Career Outcomes
Prospective Job Roles
Clinical Data Analyst
Biostatistician
Academia
Health Data Scientist
Healthcare sector
Biopharmaceutical sectors
Top recruiters





Eligibility Criteria

At least 16 years of bachelor degree.

At least 24 months of full-time professional experience after graduation.

At least 2.2 / UK honours degree undergraduate GPA is expected.

Accepted fields include .
English Proficiency Tests
IELTS
6.5

PTE
61

TOEFL
88

Duolingo
120

Other Accepted Tests

Application Requirements
Here's everything you need to know to ensure a complete and competitive application—covering the key documents and criteria for a successful submission.

Application Fee: 0

Transcript

Resume

English Proficiency Test

Passport

Resume

IELTS

Academic LOR

Professional LOR

Master SOP
Application Deadlines
| Standard Deadline | Regular | ||
|---|---|---|---|
| Spring | Feb 1, 2027 | N/A | N/A |
| Fall | N/A | Sep 11, 2026 | Aug 28, 2026 |
Fees and Funding

Tuition Fees
$32,200 / year

Overall Cost
$43,200 / year
FAQs
- Yes, there are various scholarships and funding options available for eligible students
- The intake is in the fall semester (September), with the next start date being 22 September 2025
- Full-time: 12 months Part-time: 24 months Study mode: On campus at Liverpool City Centre Campus
- Normally a 2:1 honours degree or equivalent, preferably with substantial quantitative methods content (statistics and/or computer science). Applicants with a 2:2 degree or relevant professional experience may be considered on an individual basis. A personal statement outlining learning ambitions and relevant experience is required.
- How to communicate complex information to specialist and non-specialist audiences Application of advanced statistical methods and data analysis techniques Critical appraisal of literature and research methods Planning and conducting original research in health data science Development of self-directed learning and problem-solving skills
- The program is suitable for current and aspiring health data scientists at all career stages, including those working in public or private sectors. It is open to applicants from a wide range of backgrounds, not limited to those with previous formal training in data science
- This is a Master of Research program designed for students interested in developing advanced research skills in health data science. The course provides hands-on experience in designing and delivering a novel research project to address a specific gap in health data science knowledge.
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