Entry requirements

A 2:1 degree or equivalent in social science, data science, statistics or a quantitative field. Work experience is advantageous but not required.

Months of entry

September

Course content

This interdisciplinary programme will provide you with training in fundamental aspects of applied data science, computation and programming, and quantitative methods.

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 programme 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.

Qualification and course duration

MSc

part time
24 months
full time
12 months

Course contact details

Name
Student Recruitment Office
Email
stu.rec@lse.ac.uk
Phone
+44 (0)20 7955 6613