Overview
Data driven policymaking is central to ensuring a stable future. At Essex, research in data science and artificial intelligence is part of our DNA.
In 1967, Tony Brooker became the founding Chair of Computer Science at Essex, having followed in Alan Turing’s footsteps at the Computing Machine Laboratory in Manchester, in the 50s.
In 2016, the first UNESCO Chair in Analytics and Data Science was conferred on Essex academic Professor Maria Fasli with the key objective of highlighting the critical role that data plays in promoting equality, sustainable development and how it can enhance people’s lives.
Now, whether you're interested in the curation and management of big data, advanced techniques and methods including artificial intelligence and statistical methods, or applications of big data in fields ranging from business and finance to bioinformatics, you'll find a set of relevant courses for you.
Teaching programme
Whether you’re exploring data science, or have advanced practice, we have a range of introductory and academic courses to suit your needs.
Some courses may have prerequisites, or preparation may be required before attending. All this information is detailed in the course outline, which you will be able to download from spring 2021.
There are 5 to 6 parallel sessions running each day, mainly six hours in length, and delegates are able to create a tailored programme of study by selecting from the below focuses.
* Please note, this programme may change for 2021.
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