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M.Sc. On Campus

Applied Social Data Science

London School of Economics and Political Science

12 months
Duration
30960 GBP/year
30360 GBP/year
Unknown
Tuition fee
Anytime
Unknown
Apply date
Unknown
Start date

About

This interdisciplinary Applied Social Data Science programme from London School of Economics and Political Science will provide you with training in fundamental aspects of applied data science, computation and programming, and quantitative methods.

Overview

With the rise of new and big forms of data, and computation and analytics forming ever-increasingly important elements of a wide range of professions, this programme with prepare you for a variety of careers in the private, non-profit and public sectors.

With a background in social sciences, you will be trained to use data to answer interesting social science questions. You will take a series of project-based programming courses specifically designed for students without a formal computing or statistical background. A typical student will also have taken a prior course in quantitative methods or applied statistics at a basic level, although this is not a formal requirement. 

You will become fluent in a variety of programming languages and applications, particularly R and Python, and will learn to create and manipulate large databases and think creatively about how to deploy these skills in the context of specific projects.

You will also have the opportunity to choose substantive electives, allowing you to tailor the Applied Social Data Science programme from London School of Economics and Political Science to your particular interests. The programme will culminate in a capstone project where you will creatively apply the technical skills you have learned to a project of your own design.

Careers

This programme will prepare you for a variety of careers in the private, non-profit and public sectors.

Programme Structure

Courses include:

  • Computer Programming
  • Fundamentals of Social Science Research Design
  • Data for Data Scientists
  • Managing and Visualising Data
  • Applied Regression Analysis
  • Applied Machine Learning for Social Science
  • Machine Learning and Data Mining
  • Capstone Project

Key information

Duration

  • Full-time
    • 12 months
  • Part-time
    • 24 months

Start dates & application deadlines

Credits

180 alternative credits

Delivered

On Campus

Academic requirements

GPA admission requirements GPA
Upper Second Class

Other requirements

General requirements

  • 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.

Tuition Fee

To alway see correct tuition fees
  • International

    30960 GBP/year
    Tuition Fee
    Based on the tuition of 30960 GBP for the full programme during 12 months.
  • EU/EEA

    30360 GBP/year
    Tuition Fee
    Based on the tuition of 30360 GBP for the full programme during 12 months.

Living costs for London

1137 - 2157 GBP /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Fresh content

Updated in the last 9 months

Check the official programme website for potential updates.

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Applied Social Data Science
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London School of Economics and Political Science

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