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Maths, Machine Learning and Data Science International Summer School

Please note, applications for our summer school are now closed. This page has been kept live for information only.

An introduction to maths, machine learning and data science

Develop your skills and hear from experts in the field in preparation for further study in mathematics, statistics and machine learning.

Our international summer school in maths, machine learning and data science offers a unique opportunity to enhance your expertise in mathematical techniques that are fast becoming essential in the graduate workplace.

You will be immersed in classical and cutting-edge methods in mathematics, statistics and machine learning, and explore their applications across various industries, including health and finance.

Our summer school programme will give you an insight into modern mathematical, statistical and machine learning methods that may offer a competitive edge in graduate careers, and will provide a strong foundation for further studies in applied maths, statistics, or data science at top international universities.

Programme details

During your study, you will attend lectures led by our experts and collaborate with like-minded peers on case studies guided by our researchers. Together, you will explore the mathematical foundations and practical implementations of key methodologies with applications in a wide range of industries.

The summer school itinerary will feature lectures, collaborative problem solving and intensive project work in small groups.

The topics you will cover during your studies include:

  • Applied statistics and data science
  • Maths of machine learning
  • Financial mathematics
  • Health analytics
  • Maths in industry

Additional requirements

For this course, you will need to bring a laptop computer running a recent version of Windows, iOS or Linux.

Please note, for this programme, you should have completed at least two years of an undergraduate degree majoring in maths or statistics, and have an interim grade average of at least 55%.

Find out more about academic and English language requirements
Maths students writing equations on a perspex board.

Summer school teaching staff

Dr James Foadi

A lecturer in the Department of Mathematical Sciences, James specialises in mathematical physics and statistical thermodynamics.

Dr Waleed Ali

A lecturer in the Department of Mathematical Sciences, Waleed specialises in numerical analysis, fluid dynamics and hydrodynamic stability theory.

Dr Federico Cornalba

A lecturer in the Department of Mathematical Sciences, Federico specialises in statistical methods and machine learning.

Students in a lecture theatre facing forwards

Contact us

For information about booking your place or any queries you have about our maths, machine learning and data science summer school, please get in touch.