Postgraduate Studentships - Search for funding opportunities.
Postgraduate Studentships - Search for funding opportunities.
Study Details: MSc 12 months full-time, 24 months part-time
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 will 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.
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.
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.
Please visit website for module details
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...
