Statistics with Data Science at The University of Edinburgh - UCAS

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Course summary

In this digital and data-rich era the demand for statistics graduates from industry, the public sector and academia is high, yet the pool of such graduates is small. The recent growth of data science has increased the awareness of the importance of statistics, with the analysis of data and interpretation of the results firmly embedded within this newly recognised field. This programme is designed to train the next generation of statisticians with a focus on the newly recognised field of data science. The syllabus combines rigorous statistical theory with wider hands-on practical experience of applying statistical models to data. In particular the programme includes:

  • classical and Bayesian ideologies
  • computational statistics
  • regression
  • data analysis of a range of models and applications
Graduates will be in high demand. It is anticipated that the majority of students will be employed as statisticians within private and public institutions providing statistical advice/consultancy. Links with Industry The School of Mathematics has connections with a wide number of industrial partners, organisations, charities and 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, and our annual analytics challenge (whose recent partners have included Edinburgh Airport and the Data and Marketing Association). You will also have the opportunity to undertake 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
Accreditation This MSc is pending accreditation by the Royal Statistical Society (RSS). Thus, this programme will be recognised by RSS for the purpose of eligibility for the professional award of Graduate Statistician. The accreditation is based on the general depth, breadth, quality and foundation of the programme and its statistical content.

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

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Statistics with Data Science at The University of Edinburgh - UCAS