**COVID UPDATE: Although every effort is being made to run this summer school as an on campus event, if this is not possible due to circumstances beyond our control, we will endeavour to convert this summer school to an online format.
About Our Summer Training
The Institute for Analytics and Data Science is presenting its annual Summer School bringing you two weeks of cutting-edge courses across the fields of data science, analytics and decision making.
Our Summer School provides a unique opportunity to:
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attend state-of-the-art courses delivered by world leading academics and industry partners from around the globe
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immerse yourself in the topics of data science, and
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network with your peers in an invaluable forum for knowledge exchange.
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.
Eligibility
There are no specific eligibility requirements to book a place on the Summer School.
We welcome graduates, students, researchers and professionals in the emerging fields of big data, data science and analytics who would like to find out more or be updated on the current trends and developments in this exciting and fast-developing field.
We accept applicants from all levels and experience from around the world and offer a range of introductory and academic courses to suit your needs.
Whilst we do not restrict access to courses, when selecting the courses that make up your programme please pay attention to our recommended prerequisites. These prerequisites are stipulated to ensure that all attendees make the best out of their time with us.
If you are unsure whether a certain published course is right for you, please do not hesitate to contact us at and a member of the IADS team will be happy to advise you on whether a course is suitable for your requirements and skillsets.
Teaching Programme
Our courses cover a wide range of topics from multiple perspectives.
Whether you’re exploring data science, or have advanced practice, we have a range of introductory and academic courses to suit your needs.
Please note that some courses may have pre-requisites, or preparation may be required before attending. All this information is detailed in the course outline which you will be able to download from the spring.
Our school provides you with invaluable practical industry experience.
Our delegates are 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, and develop your communication and presentation skills.
Proposals will be formed in groups and presented to businesses on the final day of the conference.
All of our courses are taught in our award-winning EBS building and CSEE computer labs.
There typically 4 parallel sessions running each day, each week, mainly six hours in length, and delegates are able to create a tailored programme of study by selecting from available themes. Typical foci available include these examples from previous years*:
1. Natural Language Processing (NLP)
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Introduction to Natural Language Processing
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NLP in social media
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Sentiment analysis
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Information retrieval
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Deep learning for NLP
2. Big Data and Deep Learning
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Best practice analytics
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Introduction to the Vertica Analytic Database
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Introduction to tensorflow
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An introduction to deep learning and neural networks
3. Introduction to R
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An overview of the R programme
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How R is used and applied in a variety of practical situations
4. Introduction to Machine Learning
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An overview of machine learning methods
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Decision trees, random forests, and gradient boosting
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Interpreting classifiers
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Learning under different training and testing distributions
5. Optimisation Topics
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Bandits, Learning, and Search
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Optimisation Meets Data Science
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Network Science
Our full programme and detailed course list will be available to download in Spring 2021.
*Please note this programme may be subject to final confirmation.*
Speakers from 2019
Bringing Together Great Minds in Data Science.
Training. Networking. Career Building.
5
5 YEARS OF RUNNING
SUCCESSFUL SUMMER TRAINING
60
OVER 60 PROVIDERS AND KEYNOTES FROM AROUND THE WORLD
32
OVER 32 ESSENTIAL TRAINING SESSIONS TO CHOOSE FROM
490
OVER 490 SATISFIED DELEGATES IN THE PAST FIVE YEARS
In the past we have had representation from many leading organisations, including
Travel & Stay
How To
Get Here
The University of Essex's Colchester Campus is just one hour from London and Stansted Airport, and set in over 200 acres of beautiful parkland, homes over 20 academic departments and schools.
You can find our more about travelling to the Colchester Campus here.
Discount Accommodation
Delegates will be able to book accommodation on site of the Summer School at very affordable rates.
The accommodation offers your own room with exclusive en-suite facilities, linens, and shared access to a kitchen, utensils, and crockery, so you can socialise with other delegates too.
Nearby Attractions
Our Colchester campus is situated very close to the historic centre of Colchester, England's oldest recorded town where there is plenty to see.
London attractions are also only a one hour train ride away, including one of the largest shopping centres in Europe. Also an hour away is the beautiful city of Norwich.
Programme Fees
Programme fees differ depending on whether you are a University student, University staff member, or a commercial delegate.
Further discounts are available for early-bird registration, and alumni from the University of Essex.
Tuition fee discounts are also available for students at partner universities - please get in touch for details.
Each year's Summer School fees are competitively priced and include:
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A tailored programme of courses and access to preparatory and bonus materials from our providers using a secure drive.
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A programme of extra curricular activities designed to create long-lasting connections with fellow delegates and providers. Previous years have included: a formal dinner, a local tour, games night, and our novel Summer School Speed Networking session.
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Complimentary car parking permit for the duration of your stay.
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Support from the IADS team before your arrival and throughout your stay.
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A delegate pack full of resources, information, and memorabilia from your time with us.
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Hardcopy certification upon completing your course, endorsed by the University of Essex and the Institute for Analytics and Data Science.
Please note that this fee does not include accommodation, which you will be able to book with our discount code after applying for your Summer School place.
Applications for our 2021 Summer Schools will open in early 2021.
Tuition fee discounts are available for students at partner universities - please get in touch for details.
Fees for the 2021 Summer School are:
Details on how to apply for the course will be released when registration opens in spring 2021.
The IADS cancellation policy is governed by University Summer School regulation. Cancellations up to and including Friday 9 July 2021 with reasonable justification, as decided by the IADS Director, will be refunded in full. There is a £50 administrative charge to action this, which is waived in full for unsuccessful visa attempts only. No refunds will be issued for cancellations made after this date.
*Fees are still subject to approval*
How To Apply
Registration for the 2021 Summer School will open in early 2021.
To register your interest, please contact iadssum@essex.ac.uk.
Contact Us
If you have any queries or concerns, please contact the IADS Executive Officer
Email:
Phone: UK 01206 87 34 96
Main IADS website:
