The University of Liverpool Health Data Science Scholarships aim to support students who enroll in the MSc Health Data Science programme at Liverpool. At least two scholarships are available each year to cover tuition fees, offering financial assistance and recognizing academic merit. The scholarship is available to both domestic and international candidates. Once you receive an offer to study the MSc Health Data Science, you become eligible to apply for these scholarships by submitting supporting documents and statements.
Scholarship Summary
| Detail | Information |
|---|---|
| Host Country | England |
| Disciplines | Any (specifically Health Data Science / Data Science) |
| Scholarship Type | Merit based |
| Eligible Country | All (domestic & international) |
Scholarship Category: Undergraduate and Postgraduate
These scholarships are specifically for postgraduate students enrolled or planning to enroll in the MSc Health Data Science programme. They do not cover undergraduate programmes.
Therefore, this is a postgraduate scholarship opportunity, intended to equip data science talent for the health sector.
Quick Checklist: How to Boost Your Chances
Before scrolling further, take a moment to tick off these essentials. They might be the difference between rejection and success:
- Start your application early; deadlines approach faster than you think.
- Prepare your academic transcripts and recommendation letters in advance.
- Personalize your personal statement; don’t copy generic templates.
- Double-check eligibility before you apply.
Scholarship Type: Merit Based
The award is merit based, meaning that selection is based on academic achievement, relevant experience, and the strength of your supporting statement. Financial need is secondary or not the determining factor. Applicants must show excellence in undergraduate performance and relevant experience to stand out.
Because this is a prestigious departmental scholarship, only a few candidates receive it each year — so your application must be compelling and well supported.
Programmes Available
The sole programme tied to this scholarship is the MSc Health Data Science at the University of Liverpool. This programme combines health, statistics, computing, and data science skills to train professionals who can analyze health data, design algorithms, and support medical research or health systems.
If your intended study is another master’s or field, this scholarship will not apply; you must enroll in the Liverpool MSc Health Data Science programme to qualify.
Eligibility for Application
To be eligible for the Liverpool Health Data Science Scholarships, you must meet these criteria:
- You must have been awarded a place, or be about to be awarded a place, on the MSc Health Data Science programme at Liverpool.
- You must hold, or be on track to obtain, at least a high 2:1 (65 % or higher) in your undergraduate degree.
- Within that degree, you should have achieved 60 % or more in modules relevant to the MSc (statistics, computing, mathematics, health analytics, etc.).
- Work experience relevant to Data Science — whether paid, internship, volunteering, or shadowing — is advantageous and will strengthen your application.
Meeting all these criteria does not guarantee the scholarship, but they are necessary minimums.
Benefits of the Scholarships
Receiving one of these scholarships can offer:
- Full or partial tuition fee coverage for the MSc Health Data Science programme.
- Recognition as a merit scholar from a leading UK university.
- Financial relief so you can focus more on study and research than funding.
- Enhancement of your academic and professional profile.
- Increased competitiveness for future funding or employment.
The exact level of tuition coverage depends on the number of scholarships awarded and funding availability.
Criteria for Application
Applications will be judged based on:
- Your undergraduate academic record, especially marks relevant to data science.
- The strength of your supporting statement, describing why you deserve the scholarship, your achievements, your data science experience, and your career plans.
- Your work, internship, or volunteer experience in data science or health analytics.
- The clarity, coherence, and persuasiveness of your application.
- Any additional considerations by the selection committee (e.g., research potential, prior publications).
Because there are few scholarships, only top-performing candidates will succeed.
Required Documents Checklist
Before applying, prepare:
- Your CV (resume) with relevant academic, research, internship, or volunteering experience.
- A supporting statement up to 750 words addressing:
- Why you should receive the scholarship;
- Your past achievements in academic and professional activities relevant to the MSc programme;
- Your data science experience to date and your future career plans.
- Proof of your undergraduate degree and transcript (or predicted results, if you are still completing).
- Evidence of relevant module grades (especially those with data science relevance).
- Any letters or documentation showing your professional experience (internships, employment).
- Optionally, letters of recommendation (if you can include them to strengthen your application).
Make sure all documents are clearly labeled, legible, and submitted in the correct file type (usually PDF).
Pros & Cons
Pros
- Significant tuition support for a high-demand, specialized master’s degree.
- Merit-based recognition adding prestige to your CV.
- Inclusive of both domestic and international students.
- Opportunity to focus more on research and learning without heavy financial stress.
Cons
- Very competitive: only a few scholarships available.
- Requires strong academic record and relevant experience.
- No fixed guarantee of full funding, partial awards are possible.
- Deadline and funding amounts may vary, so there is uncertainty.
- You must already secure an offer on the MSc programme before applying for the scholarship.
Scholarship Application Formatting: Common Mistakes
Avoid these pitfalls:
- Submitting the wrong file type (e.g. Word doc when PDF is required).
- Exceeding the 750-word limit for the supporting statement.
- Missing signature or incomplete authorizations.
- Unclear or unprofessional formatting or poor scanning of documents.
- Omitting transcripts or proof of module grades.
- Neglecting to highlight relevant experience or career objectives.
- Applying late or after deadlines (if deadlines become specified).
Follow the guidelines strictly to avoid disqualification on technical grounds.
Step-by-Step Application Process
- First, secure a place / offer on the MSc Health Data Science programme at Liverpool.
- After receiving your offer, prepare your CV and supporting statement (up to 750 words).
- Gather your academic transcripts, module grade evidence, and any work experience documentation.
- Write a strong, tailored supporting statement covering the three topics: why you deserve the scholarship, your achievements, and your data science experience plus career plans.
- Submit your documents (CV, supporting statement, transcripts, etc.) via email to Prof Ruwanthi Kolamunnage-Dona at kdrr@liverpool.ac.uk.
- Wait for the scholarship selection committee’s decision.
Application Deadline
The official site does not specify a fixed deadline for these scholarships. Applicants should act promptly once they receive their MSc programme offer. It is wise to contact the programme coordinator or scholarship office to determine the specific timeline for your application year.
Scholarship Timeline & Planning
- Before applying to MSc: prepare strong undergraduate grades, complete relevant modules, seek internships.
- Immediately after offer: draft your CV and supporting statement, collect transcripts and evidence.
- Weeks before deadline: refine your statement, review your CV, check formatting.
- Submission time: send your application and confirm all documents reached the correct email.
- After submission: monitor your email for updates or requests.
- If awarded: complete all formal steps for scholarship acceptance and integrate into your tuition billing.
Early preparation increases your chance of success.
Common Mistakes
- Waiting until final moment, with poor document preparation.
- Writing a generic supporting statement not tailored to this MSc programme.
- Failing to emphasize your data science experience.
- Neglecting module grades or relevant coursework evidence.
- Weak formatting or submission errors.
- Not checking with the scholarship office for deadlines.
Avoid these mistakes by starting early and following instructions carefully.
Tips for Winning Supporting Statement
- Be clear about why you deserve the scholarship — what makes you stand out.
- Show your academic achievements and coursework in relevant modules.
- Highlight applicable experience: internships, data projects, volunteering in health data analysis.
- Describe your career goals, how the MSc ties in, and how you plan to contribute.
- Use evidence, not vague claims.
- Keep within the 750-word limit, structure into three parts, use headings if allowed.
- Proofread carefully, avoid errors, and ask someone to review.
Tips for Strong Reference Letter
- Request referees who know your academic or professional work in data science.
- Provide them your CV, transcripts, and the three focus areas of your supporting statement.
- Ask them early so they have time to write a thoughtful letter.
- The letter should emphasize your quantitative, analytical, research, or health analytics ability.
- Confirm they submit the letter to the correct email or address in time.
- A strong, personalized letter can strengthen your application significantly.
Scholarship-Friendly CV / Resume
Your CV should:
- Start with your personal information and contact details
- Show your educational background, institution, grades, especially in relevant modules
- Include data science, statistics, programming, health analytics skills
- List research projects, internships, or work experience in data or health domains
- Mention awards, publications, or coursework relevant
- Keep it clean, well formatted, 1-2 pages max
- Use concise bullet points and quantify achievements where possible
- Tailor it to show your readiness for the Health Data Science MSc
Post-Application Phase: What to Do After Successful Submission
- Monitor your email and check with the programme contact for updates
- If asked, provide any additional documentation or clarifications
- Prepare backup funding plans in case you are not awarded
- If selected, complete the formal acceptance of the scholarship and ensure it is applied in your tuition billing
- Begin preparing for enrolment, visa (if required), and relocating
Visa Route
If you are an international student and awarded the scholarship:
- Apply for the UK Student Visa (Subclass 4 / Student Route) using your offer letter and CAS (Confirmation of Acceptance for Studies).
- Show proof of funds to pay living costs and tuition fees (minus scholarship).
- Present your English language test, passport, biometric data, and health surcharge documentation.
- Comply with residence, work and attendance rules.
- Arrive in the UK in time for programme start, complete university check-in, orientation.
Work After Study Options & Possible Job Opportunities
After completing the MSc Health Data Science, you may qualify for post-study work visas in the UK (Graduate Route) enabling you to stay and work for up to 2 years (or more under certain conditions).
Possible careers include:
- Health Data Scientist
- Biostatistician
- Epidemiologist / Public Health Analyst
- Machine Learning Engineer in health tech
- Medical Informatics Specialist
- Data Analyst for hospitals, health agencies
- Research Scientist in health or policy institutes
- Health AI developer
Your qualification in health data science will position you well in both research and industry roles globally.
Alternatives If You Don’t Win
If you are not awarded this Liverpool scholarship:
- Explore other Liverpool scholarships or departmental funding
- Look into UK national scholarships (e.g. Chevening, Commonwealth)
- Seek data science or health analytics scholarships elsewhere
- Apply for grants or awards in your home country
- Use university loans or part-time work (if visa allows)
- Crowdfunding or external grants
- Reapply or try for alternate intake years
Refer your readers to your other scholarships you may qualify for page for more opportunities.
Conclusion
The University of Liverpool Health Data Science Scholarships present an excellent opportunity for high-achieving students to pursue a cutting-edge master’s degree in health data science with financial support. If you have strong academic credentials and relevant experience, this scholarship can significantly ease your path toward a rewarding career in health analytics and data science.
Start early: secure your MSc offer, prepare your CV and supporting statement, gather transcripts and evidence, request strong references, and submit a polished application. Even if you do not receive this scholarship, explore alternative funding routes and more opportunities.
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