Summer Schools
Analytics and Data Science
Essex Analytics and Data Science Summer School
29 July 2019 – 9 August 2019
The Institute for Analytics and Data Science is presenting its fifth annual Summer School, bringing you two weeks of cutting-edge courses across the field of data science and analytics.
Institute of Analytics and Data Science on social media:
Overview
Our Summer School, held at our Colchester Campus, provides a unique opportunity to attend state-of-the-art courses delivered by world leading academics and industry partners from around the globe, attend keynotes from renowned experts, 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.
Teaching programme
With one week and two week places available, you can enrol yourself onto our recommended set of programmes arranged around themes, or tailor your own programme by picking the courses that suit you best.
Whether you’re exploring data science, or have advanced practice, we have a range of introductory, intermediate, and advanced courses to suit your needs.
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 Spring 2019.
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:
Course topics
Week one
- Introduction to Deep Learning:
- An overview of deep learning practice
- Includes practical demonstrations and guidance of Tensorflow
- Big Data:
- Data protection, security, and ethics
- Best practice analytics
- Practical application of the Vertica Analytic Database
- Overview of the Mongo Database
- 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
- Introduction to R:
- An overview of the R programme
- How R is used and applied in a variety of practical situations
Week two
- Deep Learning topics:
- A more detailed insight into deep learning and neural networks
- Natural Language Processing (NLP):
- NLP in social media
- Sentiment analysis
- Information retrieval
- Machine Learning topics:
- Bandits, learning, and search
- Interpreting classifiers
- Learning under different training and testing distributions
- Visual recognition and tracking
- R topics and optimisation:
- Machine Learning in R
- Classifier Evaluation
- Optimisation meets data science using Java
Real 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.
Our course providers come from a range of leading industry partners and academic institutions worldwide, including: Microsoft, BT, Fraunhofer, MSXInternational, Celtra, Micro Focus and Micro Focus Vertica.
![Essex data analytics booklets]()
"The Big Data Summer School was a great experience! It was the most varied timetable I've seen that covers data science topics and I'm really glad I attended."
)
Eligibility
There are no specific eligibility requirements to book a place on the Summer School. We welcome attendees (students, researchers, academics 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.
Whilst we don't 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.
Fees
What is included in the fees?
- Access to one or two weeks’ worth of courses, depending on your selection.
- A tailored programme and access to preparatory and bonus materials from our providers using a secure drive.
- Exclusive access to multiple keynote events provided over both weeks.
- Access to over five organised social activities designed to create long-lasting connections with fellow delegates and providers, including a local tour, games night, and our novel Summer School Speed Networking session.
- One ticket to the opening Evening Reception on Monday 29 July 2019.
- One ticket to a field-trip excursion to a popular British tourist destination on Saturday 3 August 2019.
- One ticket to the IADS Formal Dinner on Wednesday 7 August 2019.
- Complimentary car parking permit for the duration of your stay.
- Support from the IADS team before your arrival and throughout your stay.
- A delegate pack full of resources, information, and memorabilia from your time with us.
- Hardcopy certification upon completing your course, endorsed by the University of Essex and the Institute for Analytics and Data Science.
Please note the fee doesn't include accommodation. You will be able to optionally book this with us at a discounted rate.
Early registration (before 10 June 2019)
| Audience | Cost |
|
University of Essex students |
One week: £450 Two weeks: £850 |
| University of Essex staff or alumni | One week: £500 Two weeks: £900 |
| Non-University of Essex students | One week: £500 Two weeks: £900 |
| Non-University of Essex academics | One week: £550 Two weeks: £950 |
| All other participants, including commercial | One week: £600 Two weeks: £1,000 |
Standard registration (11 June 2019 - 9 July 2019)
| Audience | Cost |
|
University of Essex students |
One week: £500 Two weeks: £900 |
| University of Essex staff or alumni | One week: £550 Two weeks: £950 |
| Non-University of Essex students | One week: £550 Two weeks: £950 |
| Non-University of Essex academics | One week: £600 Two weeks: £1,000 |
| All other participants, including commercial | One week: £650 Two weeks: £1,100 |
Late registration (10 July 2019 - 22 July 2019)
| Audience | Cost |
|
University of Essex students |
One week: £550 Two weeks: £950 |
| University of Essex staff or alumni | One week: £600 Two weeks: £1,000 |
| Non-University of Essex students | One week: £600 Two weeks: £1,000 |
| Non-University of Essex academics | One week: £650 Two weeks: £1,050 |
| All other participants, including commercial: | One week: £700 Two weeks: £1,200 |
Accommodation
You can book accommodation on our Colchester Campus (where the Summer School is taking place) at very affordable rates.
Our accommodation offers your own room with en-suite facilities, linen and shared access to a kitchen, utensils and crockery, so you can socialise with other delegates too.
Once payment for attendance has been accepted, you will be sent instructions as to how to book our optional discounted accommodation.
How to apply
Registration is now open.
Final registration will close on 19 July 2019 at 5pm.
Self funding
If you are self-funding your trip to the Summer School, please book and pay for your place.
Paying by Proficio
If you are paying for your course fee using University of Essex Proficio funds, you will need to use the University of Essex Proficio platform.
Paying by invoice
If your institution requires an invoice to process payment, please email us stating how much the invoice should be for, and the name and postal address of the person making the payment, to iadssum@essex.ac.uk
After payment
Once you've paid, we will send you our enrolment guidance pack with instructions on how to finalise your place, book optional discounted accommodation, and access our preparatory materials to prepare for your training with us.
![Lecturer speaking to a room of students]()
"The Summer School was well organised, the courses I attended were very informative and the keynotes were excellent."
)
Bringing together
great minds
Get in touch
Shaaba Lotun
Institute for Analytics and Data Science Administrator
Telephone:
+44(0)1206 873496
Email:
iadssum@essex.ac.uk
