Data Science for Politics and Policymaking at University of Strathclyde - UCAS

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Course summary

The MSc in Data Science for Politics & Policymaking is designed to meet the growing demand for graduates with the ability to use big data to solve complex political and social problems. It is perfectly suited to those looking for careers in political campaigns, think tanks, interest groups associated with shaping public policy and the civil service. This Masters level course equips you with the ability to design, commission, and implement projects that capture and analyse large quantities of online data from a diverse set of sources. It combines advanced training in social science research design and policy analysis with classes that allow you to understand the mechanics behind capturing and organising large amounts of data. The course looks to solve the key challenge of the use of big data in the public sphere, the lack of specified research and policy goals, by providing you with the know-how via core classes in Research Design, Public Policy and Qualitative Methods. Alongside these classes, you'll receive training that allows you to understand the mechanics behind capturing and organising large amounts of data.

Modules

The course comprises compulsory and optional classes and a research or client-based project dissertation. It is delivered in collaboration with the Department of Computer and Information Sciences. Compulsory classes: Big Data Technologies, Legal Ethical and Professional Issues for the Information Society, Machine Learning for Data Analytics, Database Fundamentals. Students with no quantitative methods experience: Quantitative Methods 1, Students with quantitative methods experience: Quantitative Methods 2 OR Qualitative Methods. Other advanced methods classes may be chosen if offered and approved by course director. Optional classes: Students also choose two optional classes, either: Perspectives on Social Research AND Welfare Concepts and Ideas OR Principles of Research Design AND Policy Analysis

Assessment method

Methods of assessment include written assignments, blogs, podcasts, practical team projects, presentations, individual projects, and exams. Most classes involve more than one method of assessment to help you realise your potential. Taught classes make up two thirds of the total assessment. Your dissertation, produced over the summer, accounts for the remaining third. Taught classes make up two thirds of the total assessment. Your dissertation, produced over the summer, accounts for the remaining third.


Entry requirements

First or upper second-class Honours degree, or overseas equivalent, in social science.


Fees and funding

Tuition fees

Scotland £7300 Year 1
England £7300 Year 1
Northern Ireland £7300 Year 1
Wales £7300 Year 1
International £16400 Year 1

Additional fee information

No additional fees or cost information has been supplied for this course, please contact the provider directly.

Sponsorship information

There are several scholarship opportunities available for students applying for this course. Please see website for further details.

Data Science for Politics and Policymaking at University of Strathclyde - UCAS