The Department of Statistics offers the MSc in Statistical Science, which is suitable for industry collaboration. It is a one-year full-time programme comprising of taught modules for the first 2 terms and culminating in the completion of a 4-month project. For this component, students choose from projects offered by faculty or industry affiliates that subsequently provides the basis for their final written thesis. More details of the course structure for the MSc in Statistical Science can be found here. 

Students are encouraged to think early on about the topic of their final thesis and to explore a wide range of options. The Department is therefore supportive of collaborations with industry where real world datasets and problems can be an interesting and career-defining contribution to students' education. 

We are always open to discussing options for sponsorship, or co-sponsorship, of DPhil projects, either via our DPhil in Statistics programme or the Centre for Doctoral Training in Modern Statistics and Statistical Machine Learning (StatML CDT), which is jointly hosted with Imperial College London. Particularly via the CDT, there is an established history of collaborating with industrial partners so please do get in touch with joanna.stoneham@stats.ox.ac.uk to discuss further. We use the Russell Group contract as a starting point for all studentship contracts.
 

Many DPhil students undertake an internship during their time at the Department, indeed it is particularly encouraged for students on the StatML CDT, which helps them gain more insight into more advanced industry projects and to acquire an understanding of the differences between academia and industry. 

Typically, internships undertaken by DPhil students should be unrelated to their academic studies as the necessity to publish their research is a pre-requisite for obtaining their degree. Therefore, any industrial internship must not require academic related IP to be signed away. 

To discuss potential opportunities further please contact industry@stats.ox.ac.uk. 

Sponsoring a student prize for academic achievement, poster presentation or group design practical is an excellent way to forge academic relations and promote academic excellence within Statistics. It is also an important way of recognising the dedication involved for students attaining high academic standards, and something that the department fully encourages. 

To discuss opportunities to contribute to student prizes please contact industry@stats.ox.ac.uk. 

Gifts and Philanthropic donations are always greatly appreciated by the Department of Statistics and allow us to continue providing world leading teaching and undertake cutting edge research. 

To discuss gifts and donations please contact the MPLS development office. You can also find more information about how to Support Us. 

Oxford University has the expertise and research excellence to enable you to outsource a research problem that you may not have the time or in-house expertise to complete. 

Typically, the process begins by setting up meetings with interested academics to discuss research questions that can be addressed using academic expertise and often resources or data provided by the industry partner. 

Once a research question has been agreed in principal a contract can be drawn up to protect both parties and this usually follows the Lambert agreement structure, naturally, with any required amendments. 

To discuss the potential of research collaborations and to pose research ideas please contact industry@stats.ox.ac.uk. 

We have a Statistical Consultancy service.