Taught course

Statistics with Data Science

Institution
University of Edinburgh · School of Mathematics
Qualifications
MSc

Entry requirements

At least a UK 2:1 degree, or its international equivalent, in a numerate discipline such as mathematics, engineering, computer science, physical or biological sciences, economics or business. You must also have studied probability and statistical theory at university level.

All applicants must also meet our English language requirements.

Months of entry

September

Course content

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
  • linear and generalised linear models
  • computational statistics applied to a range of models and applications
  • regression
  • data analysis

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.

Information for international students

To find out about the support offered to international students at Edinburgh from arrival to graduation visit our website.

Fees and funding

Visit Scholarships and Student Funding Services.

Qualification and course duration

MSc

full time
12 months
part time
24-36 months

Course contact details

Name
Programme Secretary, Mrs Frances Reid
Email
statsmsc@ed.ac.uk
Phone
+44 (0)131 650 4883