menu icon
Coronavirus (COVID-19) Latest news
MSc Social Data Science

Different course options

Study mode

Full time

Duration

1 year

Start date

OCT

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Informatics Social Data Analysis

Course type

Taught

Course Summary

Based in the Department of Government, The MSc Social Data Science supports the development of the knowledge, skills and understanding required to be an effective social data scientist. With modules taught in both the Department of Government and School of Computer Science and Electronic Engineering, it equips future social scientists with a range of skills in advanced data science and artificial intelligence that will enable them to undertake social sciences research, making use of increasingly large and complex data sets.

The close partnership with Essex County Council, Essex Police and other public sector organisations ensures the development of necessary skills to apply data science for public good within a strong academic framework.

This degree provides an introduction and solid foundation in data science for students with a social science undergraduate degree. The emphasis in the course is on big data, new forms of data, and computational methods to work with such data – all within a strong framework of social science applications and research design principles.

Modules

Data for Social Data Science
Research Design
MA Dissertation
Data Science and Decision Making

Tuition fees

UK fees
Course fees for UK / EU students

For this course (per year)

£8,340

Average for all Postgrad courses (per year)

£5,202

International fees
Course fees for non-UK / EU students

For this course (per year)

£18,460

Average for all Postgrad courses (per year)

£12,227

Entry requirements

You will need a degree with a 2.2 in Political Science, International Relations, American Studies, United States Politics, Business - ( finance related), Economics or Statistics. Applications from students with a degree below a 2:2 or equivalent will be considered dependent on any relevant professional or voluntary experience, previous modules studied and/or personal statement.