2020 applicants
Summer Schools

Social Science Data Analysis

Essex Summer School in Social Science Data Analysis

The 53rd Essex Summer School will take place between 13 July and 21 August 2020. In 2020, the Summer School will be running in a live, interactive online format.


The Essex Summer School in Social Science Data Analysis provides world-leading social science methods training to postgraduate research students by offering instruction from an internationally renowned faculty, drawn from the world’s top research institutions. The core Summer School consists of three two-week sessions.

Applications for our 2020 summer school are now open!

 
Essex Summer School in Social Science Data Analysis on social media:

Overview

While the Essex Summer School cannot run in its traditional format this year, there has been substantial demand from our participants in continuing with our courses in 2020. In response to this, we are able to offer many ESS courses online in a live, interactive format. We hope this will provide many of you with the opportunity to continue your training into social science research methods over this coming summer.

Courses cover various types of quantitative and qualitative research methods, research design, techniques for data collection and measurement as well as mathematics.

"The Essex Summer School in Social Science Data Analysis is a gathering of people that are all focused on how methodology of quantitative methods in the social sciences is developing and want to help guide the next generation of researchers in that journey."
Matthew Moore PhD Researcher, University of Stirling, Social Science Data Analysis Summer School Delegate 2018

Teaching programme

Courses are 35 hours over 2 weeks unless otherwise stated. Please note all courses will be offered only via online delivery. Only courses obtaining sufficient enrolment will be able to be offered.

For information on specific courses please refer to the 2020 course list overview.

ECTS Course credit will still be available for courses when taking the Single Course Exam

Eligibility

We will conduct sessions via the video conferencing software Zoom. Participants must have access to appropriate computing facilities as well as a reliable internet connection to enable full participation in the online sessions. In addition, many of our courses will be able to offer recordings that will be available to those enrolled.

We will ensure that each participant has access to the necessary software to participate in their course, along with other materials, as part of your course fees. 

The language of instruction of this summer school is English.

For best learning success, participants should have the background knowledge necessary to follow a course. The Instructors’ specifications of the prior knowledge expected of participants appear at the end of the course descriptions for each session. This will also include any specialised requirements, such as computing knowledge, although basic knowledge of computing is essential. Participants can refresh and enhance their mathematics knowledge in an intensive course, Mathematics for Social Scientists, which is provided free of charge for participants of the Summer School. 

Instructors will assume that everyone doing their course has the required background knowledge and reserve the right to exclude a participant who does not have the required background.

Anyone who is uncertain about whether a course is appropriate for their needs or their background should contact the Summer School office for advice.


Fees and how to apply

Applications for our online 2020 Summer School are now open!

There are different fee payments for Summer School participants: the fee for participants from non-academic institutions, and the discounted fee for participants from academic institutions. For a more detailed breakdown please view our course fees.

Applicants wishing to apply should complete the online application form. The application deadline has been extended to 25 May 2020. As we will only be able to continue courses with sufficient demand, it is important to make your application as soon as possible. Only those on this list of ESS courses are currently available for enrolment. 

On receipt of the application, the Summer School office will send applicants an invoice for the amount due. At this point a non refundable £50 deposit needs to be paid to secure your place. There are two options for payment: online payment or bank transfer.

Essex PG students need to apply via Proficio. Please contact the summer school office with all queries by emailing essexsummerschoolssda@essex.ac.uk

For more information on the application process, including how to make payment and our cancellation policy, please visit our external Essex Summer School in Social Science Data Analysis website.


Accommodation

Please note as this summer school will be delivered online in 2020 – accommodation will not be available at this time.

All of the accommodation booked through the Summer School office are the universities current student rooms and can be booked on the online application form at the same time as applying to attend a course.

All Essex campus accommodation is situated just a few minutes away from the academic and administrative buildings, so residents can, for example, easily use their rooms between lectures to prepare a meal or take a coffee break. All residences are equipped for self-catering and are provided with bed linen but only hand towels. There is a linen change once weekly but participants are responsible for their own cleaning of the flat, particularly the shared kitchen facilities. Computer network facilities are available in all accommodation. To find out more about the residences, including prices and check in times please see the accommodation pages.

Alternatively, you may wish to book accommodation independently off campus – please note that the Summer School office will not be able to assist with this however you may find these websites helpful:

Get in touch
Get in touch
Essex Summer School in Social Science Data Analysis Team
Telephone: +44 (0)1206 872502