Announcing the 2020 Essex Summer School!

The 53rd Essex Summer School in Social Science Data Analysis will run between 13th July and 21st August 2020, offering over 40 modules of training in a wide range of Social Science research methods across three two-week sessions. Course listing available now!

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Computational Methods for Social Data Science: Exploring Society through Visualization and Modelling

In modern data analysis, advanced graphics and computational statistics are increasingly necessary to explore and identify complex patterns and communicate your research. This course will equip you with the critical analysis, design and technical skills to analyse and communicate with social science datasets.

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Introduction to Quantitative Methods in R

The course provides an introduction to R statistical computing environment and is suitable for researchers at the beginning of their quantitative training as well as researchers with advanced background in quantitative social science. Participants will learn to incorporate data analysis, document creation and reproducible data analysis.

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Introduction to Statistics for Social Science Research with SPSS

This course taught by Roxana D. Baltaru, will provide students with a gentle introduction to quantitative analysis for social science research and to the statistical software SPSS.

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Methods for Fieldwork in Social Science

This course taught by Dr Alexandra Hartman & Dr Florian G. Kern, introduces participants to the various aspects of field research in the social sciences and prepares participants to subsequently conduct their own fieldwork. The course particularly focuses on the practical issues related to fieldwork using various methodologies

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Introduction to Big Data for the social sciences

This course, offered by the UK Data Service, introduces key concepts and discussions around using big data in the social sciences, including open source tools for exploring and analysing new and novel forms of data. The course covers aspects of data evaluation (ethical, legal and practical), extraction, exploration, basic analysis and visualisation of data from the web, using Spark R and various R Packages. Participants spend a full day on group projects applying what they have learned.

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Fast facts about ESS

  • Students
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  • Through the years...
  • Essex Campus
600

Avg. Students per year

78

Different Countries Since 2012

14

Different disciplines

1,500

Credits earned in 2019

8

Disciplines

47

Different courses taught

20

Different countries

40

Different institutions

17,000+

Participants since 1967

1,450

Courses Taught

78

Different Countries Sending Participants

30

Master's Degrees granted since 2013

200

Acres of beautiful parkland

60 mins

From London and Stansted Airport

2 miles

From Colchester's centre – England's oldest recorded town

24 hours

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