Analytics, Data Science and Decision Making

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 4 parallel sessions running each day, mainly six hours in length, and delegates are able to create a tailored programme of study by selecting from a range of different focuses, with the option of attending for 1 week or 2 weeks. 

Course topics

Below are a list of typical course sessions that can be chosen. Course themes tend to remain consistent year to year with slight variations depending on availability. Some themes include:

• Big Data and Deep Learning
• Data Science Management
• Introduction into R and Advanced R Topics
• Introduction into Machine Learning
• Natural Language Processing
• Optimisation

*Please note that we are in the process of configuring the 2021 programme and specifics are subject to change.

Real practical industry experience

Our delegates are also given real scenarios from our partner businesses, and tasked with solving these in groups. This provides you with a unique opportunity to apply your data analytics skills within real-life situations, while developing your communication and presentation skills.
 
Proposals will be formed in groups and presented to businesses on the final day of the conference.
 
In the past our course providers have come from a range of leading industry partners and academic institutions worldwide including BT, Fraunhofer, Microsoft, MSXInternational, Celtra, Micro Focus and Micro Focus Vertica.

How to apply

Registration for our 2021 Summer School will open in early 2021.
To register your interest, please contact iadssum@essex.ac.uk

Self funding

If you are self-funding your trip to the Summer School, please book and pay for your place. 

Paying by Proficio

If you are paying for your course fee using University of Essex Proficio funds, you will need to use the University of Essex Proficio platform.

• Full details on the process of paying via Proficio (.pdf)

Paying by invoice

If your institution requires an invoice to process payment, please email us stating how much the invoice should be for, and the name and postal address of the person making the payment, to iadssum@essex.ac.uk 

After payment

Once you've paid, we will send you our enrolment guidance pack with instructions on how to finalise your place, book optional discounted accommodation, and access our preparatory materials to prepare for your training with us.