Advanced Quantitative Methods in Social Sciences at University of Bath - UCAS

University of Bath

Degree level: Postgraduate

Advanced Quantitative Methods in Social Sciences (Taught)

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Course summary

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. South West Doctoral Training Partnership This MRes is recognised by the Economic & Social Research Council (ESRC), specifically, as part of the larger South West Doctoral Training Partnership (SWDTP). It can be taken as a course in its own right, or if you hold an SWDTP studentship you can take the 1+3 (MRes + PhD) pathway. If you wish to be considered for a 1+3 SWDTP studentship, then you must apply for your preferred PhD route and not the stand-alone MRes. You should follow our how to apply guidelines. For those holding a 1+3 SWDTP studentship, progression from the MRes to the MPhil or PhD stage is dependent on an acceptable level of achievement. Learn from experts in their field You’ll learn from experts in social science research. Their passion, knowledge and research shape their teaching to enhance your learning experience. Gain important career skills We work to provide you with the tools and support to prepare you for employment and further study. This includes advanced quantitative research skills, and bibliographic skills; and the use of appropriate technology to undertake tasks that use these skills. Graduate prospects 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. This MRes also equips you to go into further study at PhD level.

Assessment method

  • Coursework
  • Dissertation
  • Examinations
- Project output (other than dissertation or report)


Entry requirements

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. If your first language is not English but within the last 2 years, you completed your degree in the UK, you may be exempt from our English language requirements.


English language requirements


Fees and funding

Tuition fees

No fee information has been provided for this course

Additional fee information

Tuition fees can be found on our web pages and are liable to increase annually. UK and Islands fees are regulated by the UK government and are subject to parliamentary approval. For all other fees, you should budget for an increase of up to 5% for every further year of study. For information on tuition fees visit our web pages: http://www.bath.ac.uk/topics/tuition-fees/
Advanced Quantitative Methods in Social Sciences at University of Bath - UCAS