Modelling of sporting events using artificial intelligence and statistical methods for big data

There are many statistical and mathematical models that can be used to predict results of sporting events such as football or tennis match.

The project aims at systematizing and comparing different models and applying them for predicting outcomes of different sporting events. Many models used for modelling highly volatile events such as tennis match resemble the models used in financial mathematics to analyse stocks. The work on the project involves analysis of very large amounts of real data. New algorithms will be devised.

We are interested in pursuing this project and welcome applications if you are self-funded or have funding from other sources, including government sponsorships or your employer.

Please contact the supervisor when you want to pursue this project, citing the project title in your email, or find out more about our PhD programme in Mathematics.

Supervisors

Photograph of Dr Andre Pepelyshev

Dr Andrey Pepelyshev

Lecturer

Email:
pepelyshevan@cardiff.ac.uk
Telephone:
+44 (0)29 2087 5530
Prof Anatoly Zhigljavsky photograpgh

Professor Anatoly Zhigljavsky

Chair in Statistics

Email:
zhigljavskyaa@cardiff.ac.uk
Telephone:
+44 (0)29 2087 5076

Programme information

For programme structure, entry requirements and how to apply, visit the Mathematics programme.

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Meet us at our Postgraduate Open Day on 22 November 2017.

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