UNIVERSITY OF LIVERPOOL · UNITED KINGDOM
Data Science & AI for Health Innovation MRes
Master's · Taught in en
At a glance
12 mo
Duration
—
IELTS
—
Tuition / yr
en
Language
Master's
Level
This Master of Research (MRes) programme focuses on the application of data science and artificial intelligence within the health innovation sector. It is designed for students who want to develop advanced research skills in this rapidly evolving field, bridging the gap between technological advancements and healthcare challenges. The course aims to equip graduates with the expertise to drive innovation and contribute to data-driven solutions in health.
Careers
Graduates will be well-positioned for a variety of roles in the growing field of health innovation, leveraging data science and AI expertise.
- Data Scientist in healthcare
- AI Specialist in health tech
- Health Informatics Researcher
- Data Analyst in public health
- Clinical Data Scientist
Frequently asked questions
- What are the academic entry requirements for the Data Science & AI for Health Innovation MRes programme?
- You need a recognised Bachelor's degree with at least 55% overall or equivalent. Specific programmes might also require a relevant academic background or prior work experience in fields like Finance, Management, Science, or Engineering.
- What are the English language proficiency requirements?
- Evidence of English language proficiency is required unless you are from a majority English-speaking country. Accepted tests include Standard XII English (minimum 75%), IB English A (minimum Grade 5) or English B (minimum Grade 7 SL/6 HL), or Cambridge IGCSE English (minimum Grade C/4 First Language or Grade B/6 Second Language).
- How can I apply for this programme?
- International students can apply through the University of Liverpool's online application portal. You will need to submit your transcripts, degree certificates, evidence of English proficiency, and a personal statement.
- What is the application deadline and course start date?
- The application deadline for international students is 21 August 2026, and the course is scheduled to start on 28 September 2026.
- What are the tuition fees for international students?
- Tuition fees are reviewed annually, and international students may be subject to Goods and Services Tax on digital services. Please refer to the University of Liverpool's tuition fees page for the most up-to-date information.
- What are the potential career paths after completing this MRes?
- Graduates can pursue roles such as Data Scientist in healthcare, AI Specialist in health tech, Health Informatics Researcher, Data Analyst in public health, or a Clinical Data Scientist.
Entry requirements
Bachelor's degreeA recognised Bachelor's degree with at least 55% overall (or equivalent) is required. Some programmes may necessitate a relevant academic background or prior work experience in fields such as Finance, Management, Science, or Engineering. Professional qualifications may also be considered.
Standard XII EnglishMinimum 75% from CBSE, CISCE, or Cambridge A Level
International Baccalaureate (IB)Minimum Grade 5 in English A (SL/HL) or minimum Grade 7 (SL) and Grade 6 (HL) in English B
Cambridge IGCSEMinimum Grade C/4 in English (First Language) or minimum Grade B/6 in English (Second Language)
Applicants may be asked to provide a recognised English language test such as IELTS or TOEFL in addition to school-level qualifications. The University considers applications from students with qualifications from the UK and internationally. Specific requirements may vary based on the applicant's country of origin. Evidence of English Language proficiency is required unless the applicant is a national of a majority English-speaking country.
Fees
Tuition (international)Please refer to the tuition fees page for the most up-to-date information.
Tuition (home)Please refer to the tuition fees page for the most up-to-date information.
LivingNot specified.
Tuition fees are reviewed annually. The Goods and Services Tax applies to digital services, including online education, for international students. Online payment portal available in preferred currency.
How to apply
1. Start your applicationSign in to the University of Liverpool Application Portal to begin your application.
2. Submit your applicationComplete and submit the online application form.
3. Application processing confirmationYou will receive an email confirming that your application is being processed.
4. Decision notificationYou will be notified via email once a decision on your application has been made.
Frequently asked questions
What are the academic entry requirements for the Data Science & AI for Health Innovation MRes programme?
+
You need a recognised Bachelor's degree with at least 55% overall or equivalent. Specific programmes might also require a relevant academic background or prior work experience in fields like Finance, Management, Science, or Engineering.
What are the English language proficiency requirements?
+
Evidence of English language proficiency is required unless you are from a majority English-speaking country. Accepted tests include Standard XII English (minimum 75%), IB English A (minimum Grade 5) or English B (minimum Grade 7 SL/6 HL), or Cambridge IGCSE English (minimum Grade C/4 First Language or Grade B/6 Second Language).
How can I apply for this programme?
+
International students can apply through the University of Liverpool's online application portal. You will need to submit your transcripts, degree certificates, evidence of English proficiency, and a personal statement.
What is the application deadline and course start date?
+
The application deadline for international students is 21 August 2026, and the course is scheduled to start on 28 September 2026.
What are the tuition fees for international students?
+
Tuition fees are reviewed annually, and international students may be subject to Goods and Services Tax on digital services. Please refer to the University of Liverpool's tuition fees page for the most up-to-date information.
What are the potential career paths after completing this MRes?
+
Graduates can pursue roles such as Data Scientist in healthcare, AI Specialist in health tech, Health Informatics Researcher, Data Analyst in public health, or a Clinical Data Scientist.