#IADSSummerSchool
IADS|
Institute for Analytics and Data Science
24 July - 28 July 2023
University of Essex, UK
About Our Summer Training
The Institute for Analytics and Data Science is presenting its annual Summer School bringing you 5 days 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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attend Keynotes from experts in the field
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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 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 practical applications in their coursework using a combined theoretical and practical approach. This provides you with a unique opportunity to apply your data analytics skills in a tangible manner to gain the most understanding from your studies.
There typically 4 parallel sessions running each day, mainly six hours in length.
The 2023 schedule will resembled the following course outline*:
24th July - 28th July
Focus 1: Machine Learning
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Introduction to Machine Learning
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Tree-based Models for Machine Learning in Data Analytics
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Machine learning for causal inference from observational data
Focus 2: Advanced R Topics
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Introduction to Data Visualisation Using R
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GIS analysis in R
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Bayesian Analysis in R
Focus 3: Optimisation topics
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Synergy of Optimisation and Machine Learning
Focus 4: Brain Computer Interfaces
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A hands-on introduction to non-invasive neural interfaces
Cross themes
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Best Practice Analytics
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Empowerment
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Ethics, Data Protection, Security, and Liability in the Age of Big Data
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Federated Learning
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Introduction to Network Science
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Introduction to Python
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Introduction to R
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.*
SOCIAL EVENTS | KEYNOTES | NETWORKING
24 July | Welcome Evening Reception
25 July| Keynote Speaker
27 July | Formal Dinner Evening Wivenhoe House Hotel
Providers for 2023
Bringing Together Great Minds in Data Science.
Training. Networking. Career Building.
7
7 YEARS OF RUNNING
SUCCESSFUL SUMMER TRAINING
30
OVER 30 PROVIDERS AND KEYNOTES FROM AROUND THE WORLD
20
OVER 20 ESSENTIAL TRAINING SESSIONS TO CHOOSE FROM
600
OVER 600 SATISFIED DELEGATES IN THE PAST SEVEN 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.
The 2023 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.
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Expert Providers and a Business Industry Leaders to provide you with high level content, hands-on experience, and professional insight.
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Keynotes from experts in the field.
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Evening social activities and networking events.
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Daily lunches and snacks from our on campus caterer.
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A certification upon completing your course, endorsed by the University of Essex and the Institute for Analytics and Data Science.
Tuition fee discounts are available for students at partner universities - please get in touch for details.
Fees for the 2023 Summer School will be added here shortly.
*Please note that summer school tuition does NOT include accommodation. Please see above for the discount on campus accommodation that can be booked from March (contact the Executive Officer for more details). Meals provided include hot/cold lunches each week day (Monday-Friday) and snacks mid-morning/mid-afternoon. Aside from the Formal Dinner and the Welcome Reception delegates will be responsible for their own meals outside of these provided lunches; we recommend taking this into account when you budget for attendance. There is a Tesco located within walking/bus distance (.5 miles) from the University to purchase food and many outlets on campus for food choices.
Terms & Conditions
The IADS cancellation policy is governed by University Summer School regulation.
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Cancellations made prior to 8th July 2023: an administrative charge of £50.00 or a full refund less your £50.00 non-refundable deposit payment. Cancellations made between 8th July and 22nd July 2023: A fifty percent charge or refund of fifty percent.
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Cancellations made after 22nd July 2023: No refund to be made.
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Registered participants with unsuccessful visa attempts will be entitled to claim a full refund.
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Extenuating circumstances will also be considered at the organiser’s discretion.
Please refer to the complete terms and conditions policy outlined on the event registration or outlined here.
How To Apply
Registration for the 2022 Summer School closed on 15th July 2022.
If you would like to attend:
Please email iadssummerschool@essex.ac.uk to check whether there are any spaces remaining.
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