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Statistics with Data Science at The University of Edinburgh - UCAS

Course options

2025 - 2026
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There are other course options available which may have a different vacancy status or entry requirements – view the full list of options

Course summary

In this digital and data-rich era, there is a high demand for statistics graduates from:

  • industry
  • the public sector
  • academia
However, the pool of graduates in this area is small. The recent growth of data science has highlighted the importance of statistics, with data analysis and results interpretation well-integrated into this newly recognised field. This programme trains the next generation of statisticians to become expert data scientists with knowledge and experience of well-established methodologies and recent advances. The syllabus combines rigorous statistical theory with hands-on practical experience applying statistical models to data from various application areas. In particular, the programme includes:
  • frequentist and Bayesian methods for advanced statistical modelling
  • computational statistics
  • generalised regression models
  • principles of statistically defensible data collection, management and curation
Graduates will be in high demand. We anticipate most students will be employed as statisticians for private and public institutions providing statistical advice and consultancy. Links with Industry The School of Mathematics has connections with many of the following:
  • industrial partners
  • organisations
  • charities
  • government departments
As an MSc student in the School you will have opportunities to engage with these external organisations through:
  • regular employability events
  • careers workshops
  • our annual analytics challenge (whose recent partners have included Edinburgh Airport and the Data and Marketing Association)
You will also have the opportunity to work on an industry-based, consultancy-style dissertation project. Recent partners for industry-based consultancy projects in the Statistics with Data Science MSc include:
  • Lloyds Banking Group
  • AzkoNobel
  • Public Health Scotland
  • Simply Business

Modules

See our website for detailed programme information.

Entry requirements

Entry requirements for individual programmes vary, so please check the details for the specific programme you wish to apply for on our website. You will also need to meet the University’s language requirements.

Fees and funding

Tuition fees

No fee information has been provided for this course

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

Tuition fees vary between degree programmes. Find the specific fees for your chosen programme on our website.
Statistics with Data Science at The University of Edinburgh - UCAS