Skip navigation
Search
Search

Course options

2023 - 2024
Apply

There are other course options available which may have a different vacancy status or entry requirements – view the full list of options

Chat with students at this uni

Chat with students, ask questions and share experiences
Chat with students

Open days

7Jun
University of Bath - Postgraduate Virtual Open Day
Postgraduate
Make sure you check on the university, college or conservatoire website for any updates about course changes as a result of COVID-19.

Course summary

Data science is increasingly important to the global economy and is influencing scientific progress across numerous fields from bioscience, to energy and telecommunications. We'll provide you with the tools to become an industry expert with a strong mathematical foundation. Working with a dedicated team of experienced computer scientists and mathematicians, you'll learn strong statistical foundations of universal relevance as well as gaining expertise in statistics and probabilistic modelling, including the design, collection, analysis and presentation of data. You'll also study machine learning techniques and software technologies central to putting this knowledge into practice, addressing the challenges of small and large data sets. Who is this course for? This course is designed for graduates who have limited experience of statistics and would like to develop their knowledge in this area. The first semester will give you general programming and machine learning development skills. The second semester is focused on statistics, and will give you the skills and knowledge to challenge real-world data using more advanced analytical techniques. Course highlights

  • Work with a dedicated team of computer scientists and mathematicians who have a wealth of experience from their professional backgrounds.
  • Learn strong statistical foundations of universal relevance as well as gaining expertise in statistics and probabilistic modelling, including the design, collection, analysis and presentation of data.
  • Study machine learning techniques and software technologies central to putting this knowledge into practice, addressing the challenges of small and large data sets.
  • Be part of our supportive postgraduate community.
  • Live and study in a beautiful world heritage city.
Project examples The research expertise in the department allows for a wide-range of subjects for your final project at the end of the course. 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
  • Wastewater based epidemiology of COVID-19
Career prospects 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'll 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. 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.

Modules

Semester 1 Applied data science Statistics for data science Machine learning 1 Software technologies for data science Semester 2 Applied data science Applied Statistics Statistical Design of Investigations Statistical Modelling Research project preparation Summer Dissertation

Assessment method

Learning

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

Entry requirements

To apply for this course, your undergraduate degree may be in a programme that incorporates a strong element of both mathematics and computing such as mathematics, computer science, physics, chemistry, engineering or economics. Any such degree programme should have included some non-trivial element of programming instruction. We will also consider other subjects, for example geography or biology, which might also meet the criteria depending on their specific mathematical and programming content. We may make an offer based on a lower grade if you can provide evidence of your suitability for the degree.

English language requirements

View English language requirements

https://www.bath.ac.uk/courses/postgraduate-2019/taught-postgraduate-courses/msc-data-science-and-statistics/#entry-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: http://www.bath.ac.uk/topics/tuition-fees/
Data Science and Statistics at University of Bath - UCAS