Course Title: Postgraduate Certificate in Applied Statistics
The Postgraduate Certificate in Applied Statistics is a one-year part-time course, delivered by the School of Mathematics & Statistics. Classes are held in the evenings so that study can be balanced with work and personal life. This course studies a range of modern topics in statistics at Postgraduate Certificate level. The course is suitable for participants who wish to learn statistics for the first time or to build on their existing knowledge and skills set.
The course will be a blend of underlying theory and practice with an emphasis on the use of modern software packages, such as R. Participants will build on the skills required to understand the value and practical usage of statistical models, interpret and challenge results and have the ability to formulate and communicate the objectives of a statistical data analysis. Researchers who use statistical analysis and modelling techniques are also suitable for this course.
Students wishing to enrol should normally possess at least the equivalent of: EITHER a qualification in Mathematics at level 7 on the National Framework of Qualifications and at least one year of relevant subsequent experience in a statistical role or two years of subsequent experience in an applicable area; OR a qualification at level 8 on the National Framework of Qualifications in any area with sufficient experience of a numerate discipline.
The Recognition of Prior Learning (RPL) procedures of the university will be used in assessing applicants who have qualifications not placed on the National Framework of Qualifications.
The demand for statistical expertise has never been greater, brought about, in part, by the increase in the amount of data collected and analysed by organisations and also by the expectation on both the public and private sector for excellence in the area of metrics and intelligence-based decision making. Graduates of this course will be ready to take up data analysis and data scientist roles in sectors such as finance, manufacturing and engineering, internet technology, healthcare, government and non-profit organisations.
Each module is delivered over one semester. Online lectures and tutorials are held:
Monday (Online)
18:30 - 21:30
Wednesday (Online)
18:30 - 21.30
Applications for this course are now open.
For further information on the application process, please visit How To Apply.
Important Information for Non-EU Applicants
If you are a Non-EU applicant interested in applying for part-time courses, please find the detailed guidance on current visa restrictions, exceptions, and available opportunities on our How to Apply page.