**COVID UPDATE: THE SUMMER SCHOOL WILL BE HELD VIRTUALLY FOR 2021

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:

  • attend state-of-the-art courses delivered by world leading academics and industry partners from around the globe

  • immerse yourself in the topics of data science, and

  • 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 iadssum@essex.ac.uk 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. 

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 one focus for each week they attend. To exemplify, for week one you can choose one of the four options presented under week one, and for the second week you can choose a new focus area from the topics presented under week two. This will be asked on our registration page. The 2021 schedule will resemble the following course outline*:

Week One 26th July - 30th July

All Focuses Day 1

On the first day of the programme every delegate will attend the same course to introduce them to the Summer School

  • Basics in Python using Colab

Focus 1: Introduction to Deep Learning

  • Deep Learning for Images and Texts Parts 1 & 2

  • Machine learning for causal inference from observational data

  • Interpreting Classifiers

Focus 2: Data Science Management

  • Data Protection, Security, Ethics, and Liability in the Age of Big Data

  • Best Practice Analytics

  • Data Science Management in Business

  • Infrastructure Management Specialisation Topic

Focus 3: Introduction to R

  • An overview of the R programme

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

Focus 4: Introduction to Machine Learning

  • Intro into Machine Learning

  • Tree-Based Models for Machine Learning in Data Analytics

  • Machine learning for causal inference from observational data

  • Learning with Small Data Sets

Week Two 2nd August-6th August

Focus 1: Continued Deep Learning Topics

  • Introduction to Tensorflow and Deep Learning

  • Learning Under Different Training and Testing Distributions

  • Transformers

  • Recurrent Neural Networks with Kera

  • Transfer Learning with Transformers in NLP

Focus 2: Natural Language Processing

  • Introduction to Natural Language Processing

  • Practical Text Analtyics and Sentiment Analysis from Social Media

  • Traditional and Deep Learning Methods

  • Transfer Learning with Transformers in NLP

Focus 3: Advanced R Topics

  • Introduction to Data Visualisation Using R

  • GIS analysis in R

  • Bayesian Analysis in R

  • Advanced R Programming

Focus 4: Optimisation Topics

  • Bandits, Learning, and Search

  • The Synergy of Optimisation and Machine Learning Parts 1 & 2

  • Network Science

Final Day Friday 6th August

Industry projects will be presented by leading businesses (TBA) in which delegates will provide solutions to real-world data science scenarios and present them at the end of the day for a virtual presentation over Zoom!

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.* 

 
Providers for 2021
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
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**Due to the virtual format we will not be hosting any delegates this year on campus

Travel & Stay
How To
Get Here
university of essex, essex business school, summer school, data science

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
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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.

The 2021 Virtual Summer School is competitively priced to include: 

  • 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.

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.

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.

 
 
How To Apply

Registration for the 2021 Summer School is now open!

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

Email: iadssum@essex.ac.uk

Phone: UK 01206 87 34 96

Main IADS website: https://www.essex.ac.uk/research/institutes-and-centres/institute-for-analytics-and-data-science 

 
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The Institute for Analytics and

Data Science

26 July - 6 August 2021

    University of Essex, UK