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.
Course highlights
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 substantial elements of both mathematics and computing such as mathematics, statistics, computer science, physics, chemistry, engineering or economics.
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.
For fees and funding options, please visit website to find out more.
On graduation, you’ll be well-equipped for a range of specialist data science and statistics careers in healthcare – from large-scale commercial enterprises to the public sector to innovative tech start-ups. Our dedicated careers team offers individual guidance and can help you decide between employment and further study.
Recent roles for graduates from our department include health data scientist, biostatistician and machine learning engineer.
Compulsory course units
These compulsory units are currently being studied by our students, or are proposed new units.
Semester 1
Semester 2
Summer
About University of Bath At Bath we are known for excellence in teaching and research; our welcoming community; and for providing students with outsta...