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MSc - Master of Science
The King's Buildings Campus
Full Time
SEP
1 Year
Select a course option
MSc - Master of Science
The King's Buildings Campus
Full Time
SEP-26
1 Year
MSc - Master of Science
The University of Edinburgh
Full Time
SEP-25
1 year
MSc - Master of Science
The King's Buildings Campus
Full Time
SEP-25
1 Year
MSc - Master of Science
The King's Buildings Campus
Full Time
SEP
1 Year
MSc - Master of Science
The University of Edinburgh
Part Time
SEP-25
2 years
Select a an exam type
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.
AccreditationThis MSc is accredited by the Royal Statistical Society (RSS). Thus, this programme is 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.
Career opportunitiesTrained statisticians are in high demand both in public and private institutions. This programme will provide graduates with the necessary statistical skills, able to handle and analyse different forms of data, interpret the results and effectively communicate the conclusions obtained.
Graduates will have a deep knowledge of the underlying statistical principles coupled with practical experience of implementing the statistical techniques using standard software across a range of application areas, ensuring they are ideally placed for a range of different job opportunities.
The degree is also excellent preparation for further study in statistics or data science.
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. Your degree must have included substantial mathematics content, including calculus (including calculus of several variables), linear algebra, probability, statistics and statistical theory. You can increase your chances of a successful application by exceeding the minimum programme requirements.
Students living in
Rest of World
£29,900 per year
Students from International
Standard single room - 9950 per year
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