Course options

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Course summary

Data science drives a significant proportion of global economic activity from healthcare to finance and technology. It's influencing scientific progress across numerous fields including bioscience, energy and telecommunications. This course provides you with the tools and strong mathematical foundation to become an industry expert. You'll gain an understanding of the balanced combination of science and technology required for delivering effective data science. You'll work with a dedicated team of computer scientists who have a wealth of experience from their professional backgrounds. You'll learn to understand and develop state-of-the art machine learning techniques, and will gain expertise in when to apply the best technique for the best results, in small and large data sets. Career prospects After graduation, you’ll be well placed to progress into a variety of careers in data science, from large-scale established commercial enterprises to innovative technology start-ups. You will also have acquired the essential foundation for further postgraduate study and research within related fields. Recent graduate roles include Data Scientist, Machine Learning Developer, Python Developer and Software Engineer. Project examples The research expertise in the department allows for a wide-range of subjects for your final project. Recent examples from Data Science students include:

  • Deep learning in high frequency financial trading
  • Spatiotemporal timing predictions in areas with a low density of public transport
  • The impact of mindfulness meditation on multisensory transfer learning
Course highlights
  • Work with a dedicated team of computer scientists who have a wealth of experience from their professional backgrounds.
  • Learn to understand and develop state-of-the-art machine learning techniques.
  • Gain expertise in when to apply the best technique for the best results, in small and large data sets.
  • 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.


Semester 1 Applied data science Statistics for data science Machine learning 1 Software technologies for data science Semester 2 Applied data science Machine learning 2 Research project preparation Plus optional units Summer Dissertation

Assessment method


  • Lectures
  • Online resources
  • Practical sessions
  • Seminars
  • Tutorials
  • Coursework
  • Essay
  • Multiple choice examination
  • Online assessment
  • Practical work
  • Thesis
  • Written examination
- Other

Entry requirements

To apply for this course your undergraduate degree can be in computer science with a strong mathematical focus, mathematics or any joint mathematics subject. Statistics, physics, astrophysics, engineering maths or other science degrees with sufficient baseline maths are also suitable. We'll also consider other subjects with sufficient maths content. Programming experience is an advantage. We may make an offer based on a lower grade if you can provide evidence of your suitability for the degree.

English language requirements

Fees and funding

Tuition fees

No fee information has been provided for this course

Additional fee information

Tuition fees can be found on our web pages and are liable to increase annually. UK and Islands fees are regulated by the UK government and are subject to parliamentary approval. For all other fees, you should budget for an increase of up to 5% for every further year of study. For information on tuition fees visit our web pages:
Data Science at University of Bath - UCAS