Sociology and Data Science MSc 12 months Postgraduate Programme By UCL |TopUniversities
Programme Duration

12 monthsProgramme duration

Tuitionfee

36,800 GBPTuition Fee/year

Application Deadline

25 Jun, 2027Application Deadline

Starting Month

SepStarting Month

Programme overview

Main Subject

Sociology

Degree

MSc

Study Level

Master's

Study Mode

On Campus

Sociology and Data Science MSc offers a comprehensive approach to understanding social phenomena, combining sociological frameworks with data science methods. Students take core modules that develop their understanding of social theory and sociological explanation, while exploring contemporary social issues and global perspectives through topics including globalisation, migration, civil rights and social movements.


Students also select from data science options that introduce essential methods for data analysis, including for geo-spatial, big, and longitudinal data, and offer cutting-edge techniques for digital data extraction, online surveys, and experiments, using open-source tools such as R.


Putting the module learning into practice, the dissertation project trains students to become independent researchers by completing a project on a topic of their choosing, demonstrating their application of data science approaches to a contemporary issue. Graduates of this course leave with a distinctive blend of theoretical knowledge and technical skills, well-prepared for careers in research, public policy, and data analysis.


This course is available full-time (one year), part-time (two years) or via flexible/modular study (a maximum of five years). Find out more about each of these ways of studying.


Sociology and Data Science MSc is one of two postgraduate sociology degrees offered by UCL Social Research Institute. The other one is Sociology MSc.

Programme overview

Main Subject

Sociology

Degree

MSc

Study Level

Master's

Study Mode

On Campus

Sociology and Data Science MSc offers a comprehensive approach to understanding social phenomena, combining sociological frameworks with data science methods. Students take core modules that develop their understanding of social theory and sociological explanation, while exploring contemporary social issues and global perspectives through topics including globalisation, migration, civil rights and social movements.


Students also select from data science options that introduce essential methods for data analysis, including for geo-spatial, big, and longitudinal data, and offer cutting-edge techniques for digital data extraction, online surveys, and experiments, using open-source tools such as R.


Putting the module learning into practice, the dissertation project trains students to become independent researchers by completing a project on a topic of their choosing, demonstrating their application of data science approaches to a contemporary issue. Graduates of this course leave with a distinctive blend of theoretical knowledge and technical skills, well-prepared for careers in research, public policy, and data analysis.


This course is available full-time (one year), part-time (two years) or via flexible/modular study (a maximum of five years). Find out more about each of these ways of studying.


Sociology and Data Science MSc is one of two postgraduate sociology degrees offered by UCL Social Research Institute. The other one is Sociology MSc.

Admission Requirements

180+
4.5+
76+
7+
A minimum of an upper second-class Bachelors’ degree from a UK university or an overseas qualification of an equivalent standard in sociology or a related social science subject. If you do not meet these requirements individuals with relevant work experience, or with A level sociology and an undergraduate degree in another subject who show a clear desire to change discipline may be considered.

25 Jun 2027
1 Year
Sep

Tuition fees

Domestic
16,800 GBP
International
36,800 GBP

Scholarships

Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.

To help students navigate this challenging process, we recommend the following articles:

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