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  Advanced Quantitative Methods (AQM) In Social Sciences MRes


University of Exeter    Social and Political Sciences, Philosophy and Anthropology

Full time & Part time September MRes 1 year full-time; 2 years part-time
Anthropology (2) Geography (17) Mathematics (25) Philosophy (28) Psychology (31)

FindAMasters summary

Are you interested in becoming a skilled social science researcher? Look no further than our Advanced Quantitative Methods (AQM) in Social Sciences MRes programme. This unique joint initiative between the Universities of Bath, Bristol, and Exeter offers comprehensive training in research techniques and methodologies. With a strong emphasis on both theoretical and quantitative core subjects, you will gain a solid foundation for your future career in academia or as a political researcher. Our collaborative teaching approach allows you to benefit from the expertise of academics from all three universities. Don't miss the opportunity to develop valuable skills and embark on an exciting research journey.

About the course

Overview

  • We’ll develop you into a fully trained and competent social science researcher who is able to understand and use a range of research techniques
  • There is a substantial theoretical and quantitative core alongside complementary qualitative training
  • Forms part of the ESRC South West Doctoral Training Partnership and funding may be available for UK/EU students embarking on the programme and wishing to work towards a PhD
  • A joint initiative between the Universities of Bath, Bristol and Exeter with collaborative teaching – each semester one core unit is taught intensively, with time spent at each location

Course content

This distinctive MRes aims to develop a systematic understanding and critical appreciation of alternative approaches, methodologies and paradigms of social science research. It will develop fully trained and competent social science researchers, who are able to understand and use research techniques appropriate to their subject area as well as being conversant with approaches used by other social scientists.

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Entry Requirements

Normally a 1st or 2:1 Honours degree (or international equivalent) in an appropriate subject from a recognised university.

Students will be required to demonstrate that their undergraduate course contained a substantial quantitative element (nominally 60 credit points, 30 European Credit Transfers) and that their dissertation included the use of quantitative methods.

Please note, if we receive an application which we deem more suitable for one of our other data science programmes we may make an offer for that alternative programme.




Fees

For current programme fees please see our website.

 Course Content

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We’ve provided the information on our website to help you get started on finding funding opportunities that are available to you: https://www.exeter.ac.uk/study/funding/

Eligibility

We recommend you start looking as early as possible for funding, especially if you will need financial assistance to undertake a postgraduate course.
There are a number of ways to fund postgraduate study including: scholarships, studentships, wages, bursaries, savings, inheritance, and, increasingly, alternative methods such as crowdfunding and philanthropy. The options available may depend on your fee status or other criteria.

Application Procedure

See our website for details of funding available and how to apply :https://www.exeter.ac.uk/study/funding/


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