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Statistical Data Science

1 Study option · UndergraduateEdinburgh Campus

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.

Please visit our website for further information on our 3 year honours degrees’

How to apply

Application codes

Course code:
G301
Institution code:
H24

Open days

Historical entry grades data BETA

This section shows the range of grades students (with UK A-Levels or Pearson BTEC Level 3 National Extended Diplomas) who received offers were previously accepted with (learn more). It is designed to support your research but does not guarantee whether you will or won't get a place. Admissions teams consider various factors, including interviews, subject requirements, and entrance tests. Check all course entry requirements for eligibility.

Not available

Historical entry grades data is not currently available for Heriot-Watt University - we are working with them to try and make it available soon - learn more.

Student Outcomes

Operated by the Office for Students

65 Employment after 15 months (Most common jobs)

100 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

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