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.

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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.

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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.

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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.

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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. 

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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

• NLP in social media

• Sentiment analysis

• Information retrieval

• Deep learning for NLP

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2. Big Data and Deep Learning 

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• Best practice analytics

• Introduction to the Vertica Analytic Database

• Introduction to tensorflow

• An introduction to deep learning and neural networks

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3. Introduction to R

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• An overview of the R programme

• How R is used and applied in a variety of practical situations

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4. Introduction to Machine Learning 

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• An overview of machine learning methods

• Decision trees, random forests, and gradient boosting

• Interpreting classifiers

• Learning under different training and testing distributions

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5. Optimisation Topics 

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• Bandits, Learning, and Search

• Optimisation Meets Data Science

• Network Science

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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.* 

**Due to the virtual format we will not be hosting any delegates this year on campus

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.

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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. 

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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. 

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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. 

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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.

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The 2021 Virtual Summer School is competitively priced to include: 

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• A tailored programme of courses and access to preparatory and bonus materials from our providers using a secure drive.

• Expert Providers and a Business Industry Leaders to provide you with high level content, hands-on experience, and professional insight.

• Support from the IADS team via Slack, Zoom and virtual channels.

• A delegate pack full of resources, information, and memorabilia that will be sent individually to you.

• A certification upon completing your course, endorsed by the University of Essex and the Institute for Analytics and Data Science.

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Applications for our 2021 Summer Schools will open in early 2021. Our fees have been reduced for the 2021 year to accommodate the online learning environment.

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Tuition fee discounts are available for students at partner universities - please get in touch for details.

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Fees for the 2021 Summer School are:

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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.

How To Apply

Registration for the 2021 Summer School is now open!

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To register your interest, please select the Apply Now! button below.

Contact Us

If you have any queries or concerns, please contact the IADS Executive Officer

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Email:

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Phone: UK 01206 87 34 96

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Main IADS website: