Course summary
This course aims to produce multi-skilled, highly competent graduates who are equipped to make significant contributions to their career field and who understand the implications of their work, both for themselves and for society as a whole. The course has three integrated strands which develop mathematical foundations, computational thinking, and engineering skills. It is the combination of these three areas that make graduates attractive to employers, enabling an immediate contribution when moving into employment. You'll be provided with a solid foundation in the principles and practices of data science, including relevant computer science components such as coding and machine learning, and mathematical areas such as probability, statistics and calculus. Key aspects of modern data science are covered, from the theoretical building blocks of linear algebra and algorithmics, to real-world implementations and discussion of the wider impacts that data science has on society. You'll develop the technical skills needed to critically analyse, mine, and manage different kinds of data in order to learn and discover interesting patterns. You'll learn how to make actionable conclusions from those assessments, while participating effectively in multidisciplinary teams. Study culminates in a focused research project in the field of data science which develops the skills to contribute professionally to solving complex commercial and industrial engineering problems.
How to apply
This course has limited vacancies, and is no longer accepting applications from some students. See the list below for where you normally live, to check if you’re eligible to apply.
EU
Wales
England
International
Scotland
Northern Ireland
Republic of Ireland
This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.
Application codes
- Course code:
- G200
- Institution code:
- Y50
- Campus name:
- Main Site
- Campus code:
- -
Points of entry
The following entry points are available for this course:
- Year 1
Entry requirements
Qualification requirements
UCAS Tariff - Not accepted
A level - AAA
Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016) - DDD
Access to HE Diploma - D: 39 credits M: 6 credits
Scottish Higher
Scottish Advanced Higher
International Baccalaureate Diploma Programme - 36 points
Welsh Baccalaureate - Advanced Skills Challenge Certificate (first teaching September 2015) - A
Extended Project
Cambridge International Pre-U Certificate - Principal - D3, D3, D3
OCR Cambridge Technical Extended Diploma - DDD
T Level
Please click the following link to find out more about qualification requirements for this course
https://www.york.ac.uk/study/undergraduate/courses/bsc-data-science/
Additional entry requirements
Other
GCSE (or equivalent) Physics or Double Science or Science and Additional Science or Combined Science (Trilogy) at grade C/4.
English language requirements
Undergraduate English Language requirements
https://www.york.ac.uk/study/undergraduate/applying/entry/english-language/
Student Outcomes
There is no data available for this course. For further information visit the Discover Uni website.
Fees and funding
Tuition fees
Republic of Ireland | £9250 | Year 1 |
EU | £28800 | Year 1 |
England | £9250 | Year 1 |
Northern Ireland | £9250 | Year 1 |
Scotland | £9250 | Year 1 |
Wales | £9250 | Year 1 |
Channel Islands | £9250 | Year 1 |
International | £28800 | Year 1 |
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Provider information
University of York
Heslington
York
YO10 5DD
Clearing contact details
Clearing Enquiries
01904 234868