Masters Compare - Find your perfect masters course.
Masters Compare - Find your perfect masters course.
Study Details: 1 year
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.
Upper second class honours (2:1) degree or equivalent in social science with evidence of quantitative training. Work experience is advantageous but not required.
Please select your country from the dropdown list below to find out the entry requirements that apply to you.
For fees and funding options please visit website to find out more
The School recognises that the cost of living in London may be higher than in your home town or country, and we provide generous scholarships each year to graduate students from the UK, EU and overseas.
This programme is eligible for needs-based awards from LSE, including the Graduate Support Scheme, Master’s Awards, and Anniversary Scholarships.
This programme will prepare you for a variety of careers in the private, non-profit and public sectors.
Further information on graduate destinations for this programme
Top 5 sectors our students work in:
You'll take core courses which provide training in fundamental aspects of applied data science, computation and programming, and quantitative methods. These courses together provide the foundations for the topics covered in the optional courses.
You'll also have the opportunity to choose substantive electives, from a range of options both within the department and across the School, allowing you to tailor the programme to your particular interests. You can choose from courses on social network analysis, quantitative text analysis, causal inference, distributed computing, deep learning, and many others. The programme will culminate in a capstone project, where you'll creatively apply the technical skills you have learned to a project of your own design.
Fundamentals of Social Science Research Design
One of the following courses:
Managing and Visualising Data
LSE is stimulating, cosmopolitan and very much part of the “real world”. Why LSE? We offer a unique opportunity to study the social sciences in a uni...
