Postgraduate taught programme

MSc

Health Data Science and Statistics

Prepare for work as a health data scientist or medical statistician in the public, charity or private sectors. This programme provides you with up-to-date knowledge on data analytics, medical statistics, machine learning and artificial intelligence.
MSc Health Data Science and Statistics
About Details Careers, industry and research Postgraduate student life Fees and funding Apply Register for open evening

About

MSc Health Data Science and Statistics equips you with the specialist knowledge and practical skills to work in health data analytics, one of the fastest-growing areas of science. Open to applicants from a range of undergraduate disciplines, you’ll develop expertise in medical data analytics, statistical methods, programming and the application of data science to real-world healthcare challenges.

Industry-relevant expertise

Develop proficiency in programming languages including R and Python, with additional training in SQL. Master statistical principles and modern analytical techniques, applying them to medical data from clinical trials, cohort studies and electronic health records.

Specialist facilities and skills

Gain hands-on experience using our computing facilities and next-generation software and hardware. Access specialist resources including the Lovelace System High Performance Computing facility and our engineering and design facility.

Real-world impact

Develop advanced research skills through an individual project supervised by subject experts. Learn from statisticians, data scientists, clinicians, epidemiologists, health researchers and computer scientists, gaining the expertise to turn complex health data into insights that can support better healthcare and research.

Details

Programme overview

You will take four core modules and two optional modules depending upon your interests and career aspirations, and complete a masters-level project over the summer on a topic of your choice. Your MSc project can be on healthcare data analytics, health informatics or clinical studies or be a multidisciplinary mix of these areas.
Throughout the programme, you will learn how to master sophisticated analytics techniques and professional software, including R and the tidyverse, Python, and additional software such as SQL databases, to handle and exploit big data, and to work as part of a project team. You will develop conceptual, and practical understanding of topics including big data, medical statistics and machine learning. You will gain experience of the design and analysis of health studies, and learn how to provide impactful healthcare insights from a range of medical and clinical studies.
If you choose to study part‑time, you’ll follow a fixed timetable. For further details about part‑time study structures, please email science.engineering@plymouth.ac.uk.
Big data and artificial intelligence concept. Machine learning and cyber mind domination concept in form of women face outline outline with circuit board and binary data flow on blue background.

Core modules

PROJ518
MSc Dissertation and Research Skills 60 credits

This module enables students to undertake an independent research project, applying the knowledge and skills developed throughout their MSc studies. Under academic supervision, students will apply appropriate methodologies, carry out in-depth analysis, and present their findings in a well-structured dissertation that demonstrates critical thinking, technical ability, and academic rigour.

100% Coursework

MATH515
Health Data and Medical Statistics 20 credits

You'll learn how to analyse health data from medical studies. We'll teach you how to design clinical trials and other health investigations, taking account of ethical considerations. You'll gain experience in producing professional statistical analysis plans. You'll become expert in using and interpreting output from state-of-the-art software for extracting important insights from health and medical data.

100% Coursework

MATH516
Machine Learning and Artificial Intelligence for Healthcare 20 credits

We'll teach you state-of-the-art Machine Learning and Artificial Intelligence techniques for extracting insightful information from health data and medical studies. You'll also learn cutting-edge software to implement all the techniques that you meet. Machine Learning and Artificial Intelligence are becoming increasing important in healthcare and medical practice, and having expertise in them makes you highly employable.

100% Coursework

MATH517
Big Data Visualisation and Analytics 20 credits

There is an ever increasing amount of Big Data available. You will learn state-of-the-art techniques for extracting valuable information and insights from Big Data. We'll teach you professional software to clean, visualize and analyse complicated datasets. We'll also provide you with experience of professional reporting your Big Data analyses.

100% Coursework

MATH518
Applied Data Modelling and Artificial Intelligence 20 credits

We'll teach you state-of-the-art modelling and analytics techniques for Data Science, so that you can provide informed strategic advice in a broad range of business and related situations. You'll meet techniques to extract knowledge from data and to update that knowledge when new observations become available. We'll also discuss popular Machine Learning algorithms for making classification decisions.

100% Coursework

Optional modules

COMP5000
Software Development and Databases 20 credits

The critical first part of a data science project is extracting and cleaning the data (dealing with missing values, for example.) In this module you will be taught how to use a programming language to do common data science tasks, such as data cleaning, and how to build a Graphical User Interface to a program. You will also learn the design of relational databases, and the extraction of data from a database using SQL.

100% Coursework

COMP5006
Information Security Management & Governance 20 credits

Navigate the strategic side of cybersecurity. You'll explore how organisations design, implement, and enforce information security governance. From crafting policy to leading audits, this module equips you with the managerial insight to align technical protection with business goals.

80% Coursework

20% Practicals

MCR702
Applied Quantitative Research Methods 20 credits

This module enables the student to acquire the knowledge and skills to design and conduct a quantitative research project. The students will have advanced understanding of different quantitative research methods, data collection strategies, statistical data analysis techniques, writing skills in quantitative research proposals and final manuscripts.

100% Coursework

MCR706
Systematic Review 20 credits

This module focuses on the appraisal and synthesis of evidence from research literature and documentary sources. Participants gain hands-on experience using JBI software (SUMARI). You will learn more about the systematic review methodology, critically analyse research and text or opinion papers as part of the review process and use software to perform a meta-analysis and meta-synthesis of selected studies.

100% Coursework

COMP5019
Natural Language Processing and Large Language Models 20 credits

Discover how machines understand and generate language. From syntactic analysis to transformer architectures, this module explores modern NLP and large language models. You'll build and evaluate systems that can translate, summarise, answer questions and shape the future of communication.

100% Coursework

ROCO510
Computer Vision and Deep Learning 20 credits

This module provides advanced knowledge of computer vision systems and state-of-the-art deep learning techniques. It covers the theoretical foundations of visual systems, including feature detection, recognition, segmentation, stereo vision, and calibration. Learners will explore robust AI-driven deep learning methods, gaining both theoretical insights and practical skills for computer vision applications.

50% Coursework

50% Examinations

The modules shown for this course or programme are those being studied by current students, or expected new modules. Modules are subject to change depending on year of entry.

Every postgraduate taught course has a detailed programme specification document describing the programme aims, the programme structure, the teaching and learning methods, the learning outcomes and the rules of assessment.

The following programme specification represents the latest programme structure and may be subject to change:

MSc Health Data Science and Statistics programme specification September 2025_7378

Careers, industry and research

The programme is designed to prepare graduates for roles such as: health data analysts, data engineers, data scientists, data managers, data modellers and medical statisticians. 
The skills developed and knowledge gained during this programme are highly sought after by employers in the healthcare sectors in the UK and globally, including NHS, Clinical Trials Units, healthcare industries, government agencies, research institutions and consultancy units. The skills developed also provide opportunities for employment elsewhere including in the finance and business sectors that invest in healthcare products. 
The programme also provides a solid foundation for those graduates who would like to continue to PhD study. The University of Plymouth hosts several Doctoral Training Partnerships and Centres for Doctoral Training funded by UK Research Councils and provides bespoke training for postgraduate researchers.

At the Institute of Cancer Research's Clinical Trials and Statistics Unit, I work alongside other statisticians, trial methodologists, clinician scientists and professors, as well as colleagues involved in the operational aspect of trial conduct. I have presented my work at international conferences and also published new findings to advance knowledge in uro-oncological diseases such as prostate cancer. My time at Plymouth really laid the foundations for an exciting and rewarding career.

Harry Parr
Medical Statistician at the Institute of Cancer Research
 
“My work focused on randomised controlled trials including Phase II/III in oncology and primary health care clinical trials which included disease areas such as psychiatry, cardiovascular and vaccines. As a Senior Medical Statistician at the University of Oxford, I supervise junior statisticians, work on various clinical trials and am a module co-ordinator for the Statistics in Clinical Trials course. My other roles include being a statistical advisor for research design services for the south central region and part of Trial Steering Committees as an independent statistician. I work on various projects which are all exciting, with different challenges. I pride myself with knowing that I am possibly impacting on people’s health by working on interventions that could improve their well-being.”
Milensu Shanyinde
Senior Medical Statistician, Primary Care Clinical Trials Unit, University of Oxford
Milensu Shanyinde - graduate profile
 

Babbage Building: where engineering meets design

“The building provides a state-of-the-art setting to inspire the engineers and designers of tomorrow, making it the ultimate place to bring together students, academics and industry in an environment that not only benefits them but also society as a whole.” – Professor Deborah Greaves OBE
Situated on the western edge of our city centre campus, the landmark facility is home to the School of Engineering, Computing and Mathematics
and offers additional space for the School of Art, Design and Architecture.
Babbage Building, University of Plymouth

Lovelace System High Performance Computing

The Lovelace System is a high performance computing cluster capable of some of the most heavy-duty computing tasks in a variety of fields. 
The facility informs and enables our teaching while helping you to pursue more advanced knowledge and tackle some of the most pressing challenges of our time.     
High performance computing equipment
 

Research-informed teaching

The multi-disciplinary nature of MSc Health Data Science and Statistics will enable you to engage actively with our research institutes. You will engage with prominent academics with an international reputation for research and teaching and with strong international and national research links. We pride ourselves on wide industrial collaborations that turn research results into healthcare, technology and social innovation.

Related research

Bringing together digital health and technology experts from industry and the University:

Dr Lauren Ansell Lecturer in Data Science


Lecturer in Data Science

Dr Julian Stander Associate Professor in Mathematics and Statistics


Associate Professor in Mathematics and Statistics

Dr Mariam Pirashvili Lecturer in Data Science/Statistics


Lecturer in Data Science/Statistics

Show all
Our technical staff are integral to the delivery of our programmes and bring a diverse range of expertise and skills to support you in laboratories, workshops and the field. 

Postgraduate student life

Postgraduate study at the University of Plymouth is about more than just getting a qualification – it’s a chance to explore your subject in greater depth, challenge yourself intellectually, and grow both personally and academically.
With a supportive learning environment and flexible study options – including part-time and January start dates – you can shape your studies around your personal and professional commitments. Our supportive teaching, and welcoming student community, means you’ll be part of an environment that encourages curiosity, collaboration and independent thinking. Whether you're continuing from undergraduate study or returning to education, Plymouth offers the space, resources and inspiration to help you thrive.
 
 
 
Joyita - student blogs web page

The University takes every single step to ensure that students are supported. There are continuous workshops on referencing, a writing café and peer-supported learning sessions. Furthermore, lecturers are generally aware and sensitive to transitioning to university therefore they are always offering support when needed.

Joyita
Postgraduate student

 
 
 

Your Plymouth community

At the University of Plymouth, you get the same access to support, sports and societies as undergraduate students. That means everything available to undergraduates is open to you too, whether it’s joining a sports club, attending events, taking part in student societies, or accessing health and wellbeing services.
You’re a full member of the Plymouth community, and that comes with all the benefits. So take advantage of what’s on offer – get involved, stay connected and make the most of your time here.

Enrich your studies with a society

Postgraduate study is about more than academic achievement. Joining a society is a great way to connect with other students, build friendships, develop new interests, and create a healthy balance alongside your studies.
Whether you're looking to meet people with similar interests, try something new, expand your professional network, or simply take a break from academic commitments, there's a society for everyone.
Group of postgraduate students on the Hoe on a sunny day

Fees and funding

Tuition fees

 
 
Tuition fees for UK students starting in 
 2026-2027 academic year.
Full-time study
£11,700 per year
Part-time study
£650 per 10 credits
 
 
Tuition fees for UK students starting in 
 2027-2028 academic year.
Full-time study
£12,100 per year
Part-time study
To be confirmed per 10 credits
 
 

Tuition fee price changes
Our fees are reviewed on an annual basis. Fees and the conditions that apply to them are the most up to date but are still subject to change in exceptional circumstances. More information about Fees and costs of studying. 
 
 
 
 
Tuition fees for full-time international students starting in
 2026-2027 academic year.
Full-time study
£21,000 per year
Part-time study
£1,170 per 10 credits
 
 
Tuition fees for full-time international students starting in
 2027-2028 academic year.
Full-time study
£21,650 per year
Part-time study
To be confirmed per 10 credits
 
 

Tuition fee price changes
Our fees are reviewed on an annual basis. Fees and the conditions that apply to them are the most up to date but are still subject to change in exceptional circumstances. More information about fees and costs of studying. 
UK Government announcement on tuition fees
The UK Government has announced that a levy on tuition fee income in the region of 6% of an international student’s tuition fees may be introduced. If implemented, the University reserves the right to increase your tuition fees accordingly. The Government has made it clear that it has not officially decided on its stance and it is possible that the eventual levy amount or arrangements may differ from the initial proposal. Therefore, the University reserves the right to adjust tuition fees in accordance with the Government’s final position on this levy.
We understand that clarity around tuition fees is important when planning your studies. Therefore, please note that the tuition fee shown on this page may change as a result of the introduction of a levy. We advise you to monitor this page regularly to stay informed of any updates to your tuition fees.
 
 

Fund your studies

As a postgraduate student at Plymouth, there may be funding options available to you, including postgraduate master's loans, scholarships, bursaries and support funds, that can help towards costs.

Postgraduate Masters Loans (PGML)

You may be eligible to apply for a Postgraduate Masters Loan to help with course fees and living costs while you study a postgraduate masters course.

Tuition fee discount for University of Plymouth graduates

If you studied your undergraduate degree at Plymouth, you may be eligible for a fee discount if you complete your postgraduate studies here as well.
  • 10% or 20% discount on tuition fees for home students 

Supporting students with the cost of living

The cost of living in the UK has risen faster than household income, meaning that most people will have less to spend on essential goods and services. This is an ongoing situation that is likely to affect everyone in some way.
The University provides advice and guidance and has a range of services, facilities and offers to help students with rising everyday costs.
Careers Hub

Apply

 
 
 
 
 
 

Entry requirements

A 2:2 honours degree, or equivalent, in biology, biomedical science, computer science, chemistry, dentistry, economics, accounting, finance, engineering, epidemiology, health, geography, marine sciences, mathematics, statistics, data science, medicine, nursing, nutrition, physics, public health, psychology, and any other related disciplines in science, engineering, health and technology. Please contact us for individual advice.

Extended entry requirements

  • a suitable English language qualification. The minimum IELTS score for acceptable English proficiency for entry is 6.5 (with a minimum of 5.5 in each element). English language requirements
  • evidence of qualifications (degree certificates or transcripts), to show that you meet, or expect to meet the entry requirements
  • a personal statement of approximately 250-400 words about the reasons for your interest in the course and outlining the nature of previous and current related experience. You can write this into the online application form, or include it as a separate document
  • your curriculum vitae or résumé, including details of relevant professional/voluntary experience, professional registration/s and visa status for overseas workers
  • proof of sponsorship, if applicable.

Ready to apply?

Apply online

After you apply

You will normally receive a decision on your application within four weeks of us receiving your application. You may be asked to provide additional information; two academic/professional references, confirming your suitability for the course; or to take part in an interview and you will be sent a decision by letter or email.
We aim to make the application procedure as simple and efficient as possible. Our Admissions and Course Enquiries team is on hand to offer help and can put you in touch with the appropriate faculty if you wish to discuss any programme in detail.
Programme code
7378
Duration

1 year

Course type

Full-time, Part-time route available
Study location
Plymouth
 

Entry requirements

We welcome applicants with international qualifications and we accept a range of qualifications from across the globe.
 
 

Search entry requirements for your country

5
B
See all courses

Extended entry requirements

  • a suitable English language qualification. The minimum IELTS score for acceptable English proficiency for entry is 6.5 (with a minimum of 5.5 in each element). English language requirements
  • evidence of qualifications (degree certificates or transcripts), with translations if not in English, to show that you meet, or expect to meet the entry requirements
  • a personal statement of approximately 250-400 words about the reasons for your interest in the course and outlining the nature of previous and current related experience. You can write this into the online application form, or include it as a separate document
  • your curriculum vitae or résumé, including details of relevant professional/voluntary experience, professional registration/s and visa status for overseas workers
  • proof of sponsorship, if applicable.

Ready to apply?

As an international student, you can apply for this course directly through the University of Plymouth or through an agent in your country.

Apply online

Need support with your application?

  • Personal statement guidance
  • Student visa support
  • Travel and arrival information
  • and more

After you apply

You will normally receive a decision on your application within four weeks of us receiving your application. You may be asked to provide additional information; two academic/professional references, confirming your suitability for the course; or to take part in an interview (which in the case of overseas students may be by telephone or video conference) and you will be sent a decision by letter or email.
We aim to make the application procedure as simple and efficient as possible. Our Admissions and Course Enquiries team is on hand to offer help and can put you in touch with the appropriate faculty if you wish to discuss any programme in detail.
Programme code
7378
Duration

1 year

Course type

Full-time, Part-time route available
Study location
Plymouth

Other routes to this course

The University of Plymouth International College (UPIC) offers pre-masters programmes that lead to University of Plymouth degrees. Courses are specially designed for EU and international students who are missing the grades for direct entry to the University, and include full duration visa sponsorship. You can start in January, May or September, benefitting from small class sizes, top-quality tuition and 24/7 student support.
 
 

International students

If you are an international applicant interested in information and future support you can find out more on our International students page. 
 
 
 
 

Visit us at a postgraduate on-campus open evening

Visit us on campus to find out more about postgraduate study, speak to academic staff, and take a look around our campus and facilities.
Book your place
Student in art classroom in Roland Levinsky Building