Royal Statistical Society (RSS) Accreditation
The Royal Statistical SocietyLink opens in a new window(RSS) is one of the premier statistical societies in the world, with a high international reputation. RSS accreditation provides external recognition for our courses’ depth, breadth, quality and statistical content. The opportunity to gain Graduate Statistician (GradStat) status adds further value to your degree qualification and the chance to access further professional development opportunities.
The RSS accredits the Department of Statistics' courses listed below for the 2023/24 intake up to 2028/29 intake:
- Mathematics, Operational Research, Statistics and Economics (BSc)Link opens in a new window
- Master of Mathematics, Operational Research, Statistics and Economics (MMORSE)Link opens in a new window
- Mathematics and Statistics (BSc)Link opens in a new window
- Master of Mathematics and Statistics (MMathStat)Link opens in a new window
- Data Science (BSc)Link opens in a new window
- Master of Data Science (MSci)Link opens in a new window
- Statistics (MSc)
For students entering from 2022/23, all programmes are accredited on an unconditional basis; that is, accreditation does not depend on your choice of optional modules.
For students entering in 2021/22 or earlier, the programmes below are accredited on a conditional basis. Graduates from these programmes who wish to apply for Graduate Statistician status with the Society must submit a transcript (their HEAR document) to show that a satisfactory combination of modules has been taken and passed.
The table below sets out the accreditation conditions.
Programmes accredited with conditions (for entrants from 2017/18 - 2021/22 inclusive) | Modules needing to have been sat and passed |
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Students will be required to have passed at least one module from those listed in both A) and B) below: A) Design of Experiments
B) Bayesian methodology |