Course summary
Statistical data science is at the core of modern data analytics that turn data into intelligence to inform decision-making and solve challenging problems. Applications range from economics and medicine, to social and environmental sciences. This degree covers theoretical and applied elements of modern statistics, and provides training and practical experience in modelling, analysing and interpreting real data required in the economy, industry and research. The early years of the degree cover basic mathematics, probability and statistics. The final years focus on advanced specialist topics in statistical modelling, data science, machine learning, probability and stochastic processes.
How to apply
31Jan
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:
- G301
- Institution code:
- H24
- Campus name:
- Edinburgh Campus
- Campus code:
- -
Points of entry
The following entry points are available for this course:
- Year 1
- Year 2
- Year 3
Entry requirements
Standard Qualification Requirements
UCAS Tariff - Not accepted
A level - AAB - AAA
Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016) - DDD
Scottish Higher - AAAB
Scottish Advanced Higher - AAB
International Baccalaureate Diploma Programme - 28 points
GCSE/National 4/National 5
Scottish HNC - Pass
Scottish HND - Not accepted
T Level
We operate contextual admissions defined by our Fair Access Policy which may mean entry requirements are flexible. We accept a wide range of other qualifications from the UK, Europe and International countries. Please contact the Admissions Officer for the programme for further information on the entry requirements for these.
Minimum Qualification Requirements
UCAS Tariff - Not accepted
A level - ABC
Scottish Higher - ABBC
As part of the Fair Access Process, the minimum entry requirements enable students who are within one or more of the categories below to be guaranteed an offer: Living in an area within the Scottish Index of Multiple Deprivation lowest 20% (SIMD20) Care Experienced, as identified on the UCAS Application form by ticking the relevant box.
English language requirements
Applicants whose native language is not English and who have not been educated previously in the English language must provide evidence of their English language ability to ensure they can cope with the demands of a Heriot-Watt programme taught and assessed in English. Further information about the English Language tests that we currently accept as proof of English Language ability including our own English Language programmes, can be viewed on our website.
HWU English Language Requirements
https://www.hw.ac.uk/study/entry/english-language-requirements.htm
Student Outcomes
Operated by the Office for Students
Employment after 15 months (Most common jobs)
Go onto work and study
The number of student respondents and response rates can be important in interpreting the data – it is important to note your experience may be different from theirs. This data will be based on the subject area rather than the specific course. Read more about this data on the Discover Uni website.
Fees and funding
Tuition fees
| England | £9250 | Year 1 |
| Northern Ireland | £9250 | Year 1 |
| Wales | £9250 | Year 1 |
| Channel Islands | £9250 | Year 1 |
| Republic of Ireland | £9250 | Year 1 |
| Scotland | £1820 | Year 1 |
| EU | £24048 | Year 1 |
| International | £24048 | Year 1 |
Additional fee information
No additional fees or cost information has been supplied for this course, please contact the provider directly.
Provider information
Heriot-Watt University
Riccarton
Edinburgh
EH14 4AS