Postgraduate Studentships - Search for funding opportunities.
Postgraduate Studentships - Search for funding opportunities.
Study Details: MRes 1 year full-time
Develop in-depth knowledge and research skills in social science. You’ll learn advanced techniques to analyse large data sets and draw effective insights.
By combining a substantial theoretical and quantitative core with comprehensive qualitative training, this course will help you gain the essential skills to become a working social science or educational researcher.
You’ll enhance your understanding of the techniques used in the analysis and presentation of quantitative data in a social science context. This will allow you to apply key research techniques to large scale data sets in public and commercial life, and draw actionable conclusions.
A key element of your studies will be to identify and investigate your own original research question using advanced quantitative methods.
This course is designed to enable you to carry out high-quality doctoral research or pursue other professional research activities in private or public sector settings.
You should have a bachelor’s honours degree or international equivalent, typically a 2:1 or above.
To apply for this course you should have an undergraduate degree with substantive quantitative elements, such as economics, psychology, social policy, sociology, geography, politics, management or a Q-Step programme.
We may make an offer based on a lower grade if you can provide evidence of your suitability for the degree.
For fees and funding options, please visit website to find out more
There is increasing demand for high-level quantitative skills from a wide range of private and public sector recruiters. Many firms and government departments are now committed to data-driven decision-making, making use of the increased availability of big data.
This course will equip you with a hybrid skill set that combines quantitative, computing and analytical skills with an understanding of social science research and enquiry.
Semester 1
Compulsory Units
Semester 2
Compulsory Units
Optional Units
You’ll choose one optional unit.
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Tue 14 Jan 2025