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, intermediate and advanced 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, intermediate, and advanced 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 once registration opens in December. 

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Our school provides you with invaluable practical industry experience.

Our second-week and two-week 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 conference on Friday 9 August 2019. 

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All of our courses are taught in our award-winning EBS building and CSEE computer labs.

There are four parallel sessions running each day, mainly six hours in length, and delegates are able to create a tailored programme of study by selecting from the following focuses:

WEEK 1

1. Introduction To Deep Learning

 - An overview of deep learning practice

 - Includes practical demonstrations and guidance of Tensorflow

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2. Big Data

- Data protection, security, and ethics

- Best practice analytics

- Practical application of the Vertica Analytic Database

- Overview of the Mongo Database

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3. Introduction to Machine Learning

- An overview of machine learning methods

- Decision trees, random forests, and gradient boosting

- Instance based learning

- Learning with small data sets

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4. Introduction to R

 - An overview of the R programme

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

WEEK 2

1. Deep Learning Topics

 - A more detailed insight into deep learning

and neural networks

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2. Natural Language Processing (NLP)

- NLP in social media

- Sentiment analysis

- Information retrieval 

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3. Machine Learning Topics

- Bandits, learning, and search

- Interpreting classifiers

- Learning under different training and testing distributions

- Visual recognition and tracking

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4. R Topics and Optimisation 

 - Machine Learning in R

- Classifier Evaluation

 - Optimisation meets data science 

Our full programme and detailed course list is available to download here (pdf.)

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. 

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This year's Summer School fees are competitively priced and include: 

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1. Access to one or two weeks' worth of courses, depending on your selection

2. Programme choices and access to preparatory and bonus materials from our providers

3. Participation in our industry experience exercise and conference day, providing you with an opportunity to apply your newly-learnt skills in real-life business situations (For second-week and two-week delegates only)

4. Exclusive access to multiple keynote events over three weeks

5. Access to over five organised social activities design to create long-lasting connections with fellow delegates and providers, including tours, games night, and our novel Summer School Speed Networking session

6. One ticket to the opening Evening Reception on Monday 29 July 2019

7. One ticket to a field-trip excursion to a popular British tourist destination on Saturday 3 August 2019

8. One ticket to the IADS Formal Dinner on Wednesday 7 August 2019

9. Complimentary car parking permit for the duration of your stay 

10. Support from the IADS team before you arrive, and throughout your stay

11. A delegate pack full of resources, information, and memorabillia from your time with us

12. Hardcopy certification upon course completion, endorsed by the University of Essex and the Institute for Analytics and Data Science

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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. 

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Details on how to apply for the course will be released when registration opens in December 2018.

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Current displayed fees may be subject to change.

Please note: limited fee-only scholarship funding is available to student applicants from developing countries. Our scholarship competition for the 2019 Summer School is now closed and strictly no more funding is available. Those interested in scholarship attendance only can apply for the 2020 Summer School next year. Scholarships for 2020 will re-open in October 2019. The IADS cancellation policy is governed by University Summer School regulation. Cancellations up to and including Friday 12 July 2019 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 2019 Summer School will open on

18 December 2018 at 5pm. 

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To book your place, you will need to:

1.  Click 'Register Now' and fill out our online application form. 

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2.  You'll receive an email with instructions on how to confirm your place and process payment. You can refer to our Payment Guidance pdf. here for step-by-step instructions. 

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3. Upon payment confirmation, we'll send you our Enrolment Guidance Pack with instructions on how to finalise your place, book our optional discounted accommodation, and access our preparatory materials. 

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Final registration will close on 19 July 2019 at 5pm. 

Contact Us

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

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Email:

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Phone: UK 01206 87 34 96

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Main IADS website: