Taught course

Data Science and Statistics (Health)

Institution
University of Bath · Department of Mathematical Sciences
Qualifications
MScMSc with Placement
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Entry requirements

You should have a first or strong second-class undergraduate degree or equivalent international equivalent.

To apply for this course, your undergraduate degree should be in a programme that incorporates a substantial mathematical element such as mathematics, statistics, computer science, physics, chemistry, engineering or economics. Experience of computer programming would also be advantageous. We will also consider other subjects, for example geography or biology, which may meet the criteria depending on their specific mathematical and computing content.

We may make an offer based on a lower grade if you can provide evidence of your suitability for the degree.

Before you apply, please check the University of Bath website for the most recently published entry requirements.

Months of entry

September

Course content

Develop a strong mathematical foundation in data science and statistics together with specialist knowledge for a career in the global healthcare industry.
Data science, statistics and machine learning are revolutionising healthcare. These methodologies are improving our understanding of disease cause and progression, influencing clinical and governmental decision-making, and rapidly becoming vital components of the modern healthcare system.
This course will equip you with the analytic skills sought after by employers such as pharmaceutical companies, hospitals and healthcare analytics companies. You’ll study the fundamentals of data science, machine learning, statistics and statistical modelling, alongside programming in both Python and R. You’ll gain extensive practical experience of how to interpret, analyse and evaluate data in healthcare applications through a bespoke year-long unit in Data Science and Statistics for Health and a summer research project.

Who is this course for?
This course is designed for graduates in highly numerate disciplines who are interested in a career in the healthcare industry but have limited experience of statistics or data science and would like to develop their knowledge in this area. The first semester provides foundational training in programming, machine learning, data science and statistics. The second semester is focused on more advanced statistical techniques to challenge real-world data. The dissertation provides an opportunity to use these skills to analyse genuine health-related data.
Course highlights
  • Stand out when applying for jobs by gaining a strong foundation in both data science and statistics, opening up a wide range of careers in healthcare and other sectors.
  • Benefit from multi-departmental expertise to ensure you’re up to date with the latest advances in the field.
  • Undertake an intensive research project in collaboration with academics engaged in health-related research.
  • Undertake an optional 12-month placement with a company or public sector body, to improve your employability.
  • Be part of our supportive postgraduate community.
  • Live and study in a beautiful world heritage city.

Optional placement year

This course gives you the option of extending your course by a year to go on a placement.

Going on placement gives you the opportunity to apply your skills and knowledge to a year working in industry. You’ll be employed full-time in a role to match your future career ambitions, broadening your experience and transferable skills. We have links with some of the industry’s leading companies.

Fees and funding

UK students
13,400
International students
31,600

Find out about funding opportunities at the University of Bath

Qualification, course duration and attendance options

  • MSc
    full time
    12 months
    • Campus-based learningis available for this qualification
  • MSc with Placement
    full time
    24 months
    • Campus-based learningis available for this qualification

Course contact details

Name
Admissions
Email
pgtadmissions@bath.ac.uk
Phone
+44 (0)1225 385115
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