Gain a solid grounding in the theory and practice of data science. You’ll develop specialist knowledge in statistics, machine learning and software technology.
Data science drives a significant proportion of global economic activity and is influencing scientific progress across numerous fields. This course provides you with the tools to become an industry expert with a strong mathematical foundation. You will gain an understanding of the balanced combination of science and technology required for delivering effective data science.
You’ll learn strong statistical foundations of universal relevance and develop specialist knowledge of probabilistic machine learning techniques. You will gain expertise in the software technologies that are central to putting this knowledge into practice, addressing the challenges of small and large datasets.
You’ll learn from a dedicated team of computer scientists who have a wealth of experience from their professional backgrounds.
After graduation, you’ll be well placed to progress into a wide 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.
This course lasts 2 years. It starts in September 2018 and ends in 2020. Induction week starts on 24 September 2018.
Occasionally we make changes to our programmes in response to, for example, feedback from students, developments in research and the field of studies, and the requirements of accrediting bodies. You will be advised of any significant changes to the advertised programme, in accordance with our Terms and Conditions.
Compulsory course units
These compulsory units are currently being studied by our students, or are proposed new units.
- Applied data science
- Statistics for data science
- Machine learning 1
- Software technologies for data science
- Applied data science
- Machine learning 2
- Research project preparation
- Plus optional units
Summer (Year 1)
Summer (Year 2)
Optional course units
These are examples of optional units currently being studied by our students or are proposed new units.
- Bayesian machine learning
- Neural computation
- Reinforcement learning
This course option gives you the opportunity to undertake a fully supported, paid year-long placement with one of our industry partners. Placements give you the chance to put all of your skills and knowledge into practice, preparing you for your future career.
Please note, while we will work closely with you to identify a suitable employer, placements are not guaranteed.
Learning and assessment
- Online resources
- Practical sessions
- Multiple choice examinations
- Online assessment
- Written examination
MSc Data Science from the University of Bath on Vimeo.
- You should have a first or strong second-class bachelor’s honors degree or international equivalent.
- To apply for this course, you should have an undergraduate degree in mathematics (or any joint mathematics degree), statistics, physics, astrophysics, engineering maths or other science degrees with sufficient baseline maths and programming content.
- We will also consider the following subjects but would require further supporting evidence of programming knowledge: computer science, chemistry, engineering or economics.
- We may make an offer based on a lower grade if you can provide evidence of your suitability for the degree.
- You will also need to have studied mathematics to at least A level standard or an international equivalent.
- If your first language is not English but within the last 2 years, you completed your degree in the UK, you may be exempt from our English language requirements.
English language requirements
- IELTS: 6.5 overall with no less than 6.0 in all components
- The Pearson Test of English Academic (PTE Academic): 62 with no less than 59 in any element
- TOEFL IBT: 90 overall with a minimum 21 in all 4 components
If you need to improve your English language skills before starting your studies, you may be able to take a pre-sessional course to reach the required level.
For international students, please contact the school for more information.
Fees and funding
Your tuition fees and how you pay them will depend on whether you are a Home, EU, Island or Overseas student.
How to pay
Tuition fee loans
If you are studying a postgraduate course, you may be able to take out a loan for your tuition fees and living costs.
Scholarships and bursaries
You could be considered for a bursary or scholarship to help you study at Bath. You do not have to pay it back.
Other payment options
You can pay your tuition fees by Direct Debit, debit card, credit card, cheque, bank transfer or cash. You may also be eligible for a student loan to help you pay your fees.
You will need to budget at least £100 for the cost of photocopying, printing, and binding. You will also need to budget for the cost of textbooks.
Some courses involve visits away from campus and you may be required to pay some or all of the costs of travel, accommodation, and food and drink.
If you’re on a placement, you’re responsible for your own travel, accommodation and living costs. You should also consider the financial implications if you go on an unpaid or overseas placement.
Program taught in: