Summer School: Mathematics

Spend part of your summer with our award-winning Mathematical and Physical Sciences department, located within a university ranked as the 22nd most international in the world*.

Mathematics modules

The University of Sussex reserves the right to cancel modules due to staff availability, student demand, minimum enrolment, or updates to our curriculum. We’ll make sure to let our applicants know of such changes to modules at the earliest opportunity.

Session Two 

  • Mathematics of Data Science

    Module code: IS404

    This module is for you if you are currently enrolled on a Mathematics, Physics, Engineering or Chemistry degree or interested in Mathematics and the Foundations of Data Science. You will need some background of calculus and analysis, and preferably some computing and programming experience. This module introduces you to data science in any global industry using large and small data sets.

    During this module you will be introduced to probability theory and will have the opportunity to apply this in laboratory sessions.

    You will gain experience in Monte Carlo Simulations applied to Data Science problems, as well as experience of using R for statistical and data science applications. You will examine data sets within a range of industries; apply goodness of fit methods and gain a basic understanding of statistics in data science and how analysis of problems leads to success.

    Learning outcomes:

    • Explain the role of probability theory in statistics and data science
    • Employ goodness of fit methods to simulated and real data
    • Apply Bayesian inference for the estimate of parameters of a distribution
    • Use R for statistics and data science applications.

    Teaching method: Lectures and workshops
    Assessment: 90% software exercise, 10% observation
    Contact hours: 40 hours

About the School of Mathematical and Physical Sciences

The School of Mathematics and Physical Sciences has a lively research group in Probability and Statistics and hosts the Data Intensive Science Centre at the University of Sussex (DISCUS), a research unit built to address real social and economic challenges by applying data interpretation techniques.

The School also has notable alumni, with professional tennis player, Virginia Wade winning the US Open in 1968 and Wimbledon in 1977.

Sir Anthony Leggett, a former Professor of Physics at the University of Sussex, was awarded the Nobel Prize for Physics for his work on the theory of superfluids.

  • Top 25in the UK for Mathematics**

  • Bronze Awardin the prestigious charter mark Athena SWAN

Register your interest

* The Times Higher Education World University Rankings 2019, ** The Complete University Guide 2020

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