Study MSc Applied Social Data Science at London School of Economics and Political Science, University of London in the UK, Accounting
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What will I learn?

The rapid rise of AI and big data are reshaping our world. This programme will equip you with cutting edge data science skills that are in demand across a variety of careers in the private, public, and non-profit sectors.You’ll acquire technical skills in applied data science, computation, programming, and quantitative methods, and learn how to use data to answer interesting and important social science questions.The programme has a strong practical focus. You’ll take project-based programming courses specifically designed for students without a formal computing or statistical background. Nevertheless, a typical student will have taken at least two prior courses in quantitative methods or applied statistics at a basic or intermediate level.You’ll master highly demanded programming languages including R and Python, learn how to construct and manipulate large databases, and creatively deploy newly acquired analytical skills on project-based tasks.You can tailor the programme to suit your specific interests through a wide range of optional choices. A Capstone project gives you the chance to apply your new skills to an original social science problem of your choosing.Graduate destinations:This programme will prepare you for a variety of careers in the private, non-profit and public sectors.

Which department am I in?

Accounting

Study options

Full Time (12 Months)

Tuition fees
£3,325.00 (US$ 4,294) Month
This is a fixed fee
Start date

September 2026

Venue

London School of Economics and Political Science, University of London

Houghton Street,

London,

Greater London,

WC2A 2AE, Southern England, United Kingdom

Full Time (1 Year)

Tuition fees
£41,900.00 (US$ 54,111) per year
This is a fixed fee
Start date

September 2027

Venue

London School of Economics and Political Science, University of London

Houghton Street,

London,

Greater London,

WC2A 2AE, Southern England, United Kingdom

Entry requirements

For international students

Upper second class honours (2:1) degree or equivalent in social science, data science, statistics or a quantitative field. Work experience is advantageous but not required.

*There may be different IELTS requirements depending on your chosen course.

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