MSc Medical Statistics and Health Data ScienceFind a programme
New programme for 2022
|Faculty||Faculty of Health Sciences|
One year full-time;
Two years part-time
|Location of programme||Clifton campus|
|Part-time study available||
Part-time over two years; Part-time study requires daytime weekday attendance on specific days each year (usually 1-2 days);
|Start date||October 2022|
The MSc in Medical Statistics and Data Science will enable you to engage with the complex statistical and data science healthcare challenges facing the global community, providing high-quality training in statistical and computational methods that are applicable to low-, middle- and high-income settings.
As a medical statistician you will play a vital role in improving the health of populations by conducting statistical research (such as designing clinical trials and epidemiological studies, analysing data and interpreting results) to advance medical knowledge, track or prevent diseases and improve medications and treatments.
Challenges have arisen over the last decade in the increasing availability of enormous electronic datasets related to human health and healthcare. Data science combines mathematics, statistics and programming tools to enable analysis of these very large and diverse datasets.
You will be trained in the theory and practice of cutting-edge methods in medical statistics and data science (including causal inference, machine learning and data mining). Teaching will focus on building strong quantitative and computational skills, and effective interpretation and communication of research findings. All concepts, skills and tools are illustrated using real-life case studies and health-related data. You will gain professional skills - such as teamwork, presentation skills and writing for publication - essential for a successful medical statistician and data scientist.
Population Health Sciences is a leading centre for research, with numerous opportunities for PhD study and employment on research projects. Internationally recognised for excellence in the development and dissemination of research methodology spanning the design of randomised trials, statistical methods and data science approaches, you will benefit from this established expertise as a student on the MSc.
Virtual open week
This programme will be covered in our Medical Statistics and Health Data Science webinar.
Fees for 2022/23
We charge an annual tuition fee. Fees for 2022/23 are as follows:
- UK: full-time
- UK: part-time (two years)
- Overseas: full-time
Following the recent changes to fee assessment regulation, Channel Islands and Isle of Man students will no longer be charged a separate tuition fee. From the 2021/22 academic year they will be charged the same fees as Home students.
Fees are subject to an annual review. For programmes that last longer than one year, please budget for up to a five per cent increase in fees each year. Find out more about tuition fees.
University of Bristol students and graduates can benefit from a ten per cent reduction in tuition fees for postgraduate study. Check your eligibility for an alumni scholarship.
Funding for 2022/23
Further information on funding for prospective UK, EU and international postgraduate students.
Teaching methods include lectures, practicals, group work, workshops and seminars. All but two units are compulsory; the dissertation is also compulsory and is undertaken during the final term and over the summer. The programme will introduce you to the statistical software R for statistical computing and graphics, and data handling, manipulation and analysis.
The taught units will contribute 120 credits and the dissertation 60 credits to the overall degree. Your dissertation, on a research topic of your choice, will take the form of a journal article and a poster presentation, opening the possibility of submission for publication.
Visit our programme catalogue for full details of the structure and unit content for our MSc in Medical Statistics and Data Science.
An upper second-class honours degree (or international equivalent). Degree must have a strong quantatative element.
See international equivalent qualifications on the International Office website.
English language requirements
If English is not your first language, you need to meet this profile level:
Further information about English language requirements and profile levels.
Read the programme admissions statement for important information on entry requirements, the application process and supporting documents required.
You will gain the knowledge and skills to undertake a career in a wide range of professional settings including universities, research institutes, the pharmaceutical industry, public health data analysis units, central government, national health services, and other private and public organisations collecting and analysing health-related data.
With a shortage of well-trained medical statisticians and data scientists, as a graduate you will be in high demand. You will also be well placed to apply for a PhD in a range of population health research topics. The MSc prepares you to move into a career which, with further work experience and training, could develop into leadership roles, such as academics (lecturers, senior lecturers and professors of medical statistics and data science), directors of research and development in pharmaceutical companies and biotech start-ups, strategic directors of health charities or public health government policy advisers, and health data scientists in public, charity and private sector.
Expected application closure date
Applications will open once the programme is fully approved.
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Enquiries Team Phone: +44 (0) 117 394 1649 Email: firstname.lastname@example.org
REF 2014 results
- 20% of research is world-leading (4 star)
- 45% of research is internationally excellent (3 star)
- 30% of research is recognised internationally (2 star)
- 5% of research is recognised nationally (1 star)
Results are from the most recent UK-wide assessment of research quality, conducted by HEFCE. More about REF 2014 results.