Big Data and Analytics Summer School

This year's summer school runs from Monday 24 July to Friday 4 August 2017.
Registration is now open – please see below for full details.


Our summer school is for 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.

  • Hear keynote talks by leading experts.
  • Attend state-of-the-art courses delivered by academics from Essex and other leading institutions and our industrial partners.
  • 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.



Courses cover a wide range of topics from multiple perspectives, are available at different levels and mainly six hours in length. Please note that some courses may have prerequisites. The courses are delivered in parallel sessions and participants are able to choose the courses, depending on availability, to create a bespoke programme of study.

Please note that participants may only enrol for one course per day, some courses are for more than one day in length. Participants must ensure they have the required prerequisite knowledge before enrolling on courses.

  • A-Z of confirmed courses

    • Agent-based modelling of social systems
      Dr Peter Barbrook-Johnson/Dr Kavin Narasimhan of the University of Westminster
    • An Introduction to Geographical Information Systems
      Professor Andrew Lovett of the University of East Anglia
    • Best practice analytics
      Detlef Nauck of BT
    • Best practice in licensing and governance for research data
      Louise Corti/UK Data Service of the University of Essex
    • Big Data and Financial Analytics
      Dr Nikos Vlastakis of the University of Essex
    • Big data management systems for fun and profit
      Dr Nikos Ntarmos of the University of Glasgow
    • Data Protection, Security, Ethics and Liability in the age of big data
      Dr Audrey Guinchard/Professor Anthony Vickers of the University of Essex
    • Data science for public policy
      Professor Slava Mikhaylov of the University of Essex
    • Data science meets optimisation
      Dr Andrew Parkes of the University of Nottingham
    • Designing Research for your Data
      Tarek al Baghal of the University of Essex
    • Doing Data Science
      Harry Powell of Barclays PLC
    • Encounters with big data: An introduction to using big data in the social sciences
      Louise Corti/Nathan Cunningham of the University of Essex
    • From Data Science to Decision Making
      Dr Spyros Samothrakis of the University of Essex
    • Hadoop fundamentals for the cloud
      Dr Martin Fleury of the University of Essex
    • Hands-on Apache Spark: - “multifaceted” data processing and machine learning
      Dr Ivan Palomares Carrascosa of Queens University Belfast
    • How can Autonomous Cars see and understand their environment?
      Dr Aura Hernandez from Universitat Autonoma de Barcelona
    • Human rights in the era of big data and analytics
      Dr Daragh Murray/Catherine Kent of the University of Essex
    • Introduction to Artificial Neural Networks and Deep Learning with TensorFlow
      Dr Michael Fairbank of the University of Essex
    • Introduction and Data Modelling with Cassandra
      Ragini Gokhale of the University of Essex
    • Introduction to data science
      Dr Jochen Leidner of Thomson Reuters
    • Introduction to Data Visualisation Using R
      Dr Aris Perperoglou of the University of Essex
    • Introduction to Machine Learning and Kernel Machines
      Dr Luca Citi of the University of Essex
    • Introduction to Natural Language Processing (NLP)
      Dr Diana Maynard of the University of Sheffield
    • Introduction to R
      Professor Leo Schalkwyk/Dr Nicolae Zabet of the University of Essex
    • IoT Application on Environment and Health Monitoring
      Dr Sefki Kolozali/Nazli Farajidavar of the University of Surrey
    • Machine learning with Mahout
      Richard Skeggs of the University of Essex
    • Modelling and analysis of complex systems
      Dr Chris Antonopoulos of the University of Essex
    • Network analysis: from models to community detection
      Dr Giovanni Stracquadanio of the University of Essex
    • Pictures – the power and the glory for great analytics
      Dr Pete Barnsley of BT
    • Practical methods for discrete optimisation
      Dr Daniel Karapetyan of the University of Essex
    • Practical text analytics and sentiment analysis from social media
      Dr Diana Maynard of the University of Sheffield
    • Principles of big data storage and processing systems
      Dr Nikos Ntarmos of the University of Glasgow
    • Science and data
      Dr Andrew Harrison of the University of Essex
    • Techniques for securing IoT devices in a cloud environment
      Dr Gareth Howells of the University of Kent
    • Visual object recognition and tracking
      Professor Ales Leonardis of the University of Birmingham

Keynote speakers

Each year we invite leading experts from business to give keynote talks to our participants. These are open to University staff.

Social and networking events

There will be plenty of opportunities throughout to network with your peers and presenters. Each week there will be a social event on campus with food and drink for the evening included in the registration fee.

  • Monday 24 July– buffet and drinks reception
  • Tuesday 1 August – formal dinner at Wivenhoe House Hotel


This year's Essex Big Data Summer School will be held at Essex Business School on our Colchester Campus.


Whether you're visiting us from home or abroad getting to our campus couldn't be easier.

Overseas students

If you plan on attending this year's summer school please make sure you read our immigration pages for short-term students.


Accommodation is available on campus during the summer school in designated self-catering, en-suite rooms. Prices are £40.00 per night.

Book a room and use the promo code 'BigData17' to ensure you receive the discounted rate.

Fees and registration

The registration fee includes all tuition, refreshments during the teaching day (mid-morning refreshments, lunch and mid-afternoon-refreshments) plus one social event per week which includes food and drink for the evening.

Once you've registered, the Summer School Administrator, Emma McClelland, will send you an email and enrol you onto your chosen courses.

Early registration:
before 28 June
Late registration:
28 June - 16 July
1 week 2 weeks 1 week 2 weeks
University of Essex students or students from partner institutions 500 950 600 1050
University of Essex staff or alumni 550 1000 650 1100
Non-University of Essex students 550 1000 650 1100
Non-University of Essex academics 600 1050 700 1150
All other participants including commercial 700 1200 800 1300

Contact us

For any enquiries contact Emma McClelland, Summer School administrator by email or phone 01206 873496.

Previous Summer Schools

  • Our 2016 Summer School

    Video of our 2016 Summer School

    In these videos, delegates explain why they wanted to come to the Essex Big Data and Analytics Summer School 2016.

    Feedback from our 2016 Summer School

    "An interesting and wide range of topics, a great event for networking, organisation and accommodation were excellent."
    "The summer school was well organised, the courses I attended were very informative and the keynotes were excellent."
    "I came with high expectations and leave very happy with all I have learnt."
  • Our 2015 Summer School

    Video of our 2015 Summer School

    Feedback from our 2015 Summer School

    "The organisation, networking and content of the Summer School were excellent."
    "I came because I googled data mining and analytics events, this seemed too perfect. I'm glad I came, all relevant information and documentation was sent in advance, great organisation, it brought together researchers, academics and industry professionals to give good overview of data technologies."
    "Thank you for organising such an interesting Summer School."