12 months
Duration
20400 GBP/year
4600 GBP/year
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

Develop in-depth knowledge and skills of research methods. The Advanced Quantitative Methods in Social Sciences degree from University of Bath will prepare you for an academic or professional career with a focus on the social sciences.

Visit the official programme website for more information

Overview

The Advanced Quantitative Methods in Social Sciences  course from University of Bath  has been designed to include a substantial theoretical and quantitative core. Combined with complementary qualitative training, the course provides the essential skills for any working researcher.

You will be trained in techniques used in the analysis of social science quantitative data. This will enable you to think through how you can use your knowledge and advanced quantitative skills in different contexts, applying them to a variety of problems and specifically in the area of social, educational or political enquiry that most interests you.

The vibrant environment for training in quantitative social science methods will equip you with the skills to become a transdisciplinary future leader in innovative social science research.

This course is designed to enable you to carry out high-quality doctoral research or pursue other professional research activities. By the end of your studies you will be able to identify and investigate your own original research questions using advanced quantitative methods.

Learning and teaching

The collaboratively delivered unit days will involve lectures, but also lab training and working with software to implement advanced quantitative methods. Some pre-course material will be made available before the intensive full-day delivery of these units.

Other units will be taught by combinations of lectures, seminars and computer lab sessions.

Careers

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.

Programme Structure

Courses include:

  • Research apprenticeship project (MRes)
  • Qualitative methods 
  • Research design and methods for AQM (collaboratively delivered unit)
  • AQM1 experimental and quasi-experimental quantitative methods for social science

Key information

Duration

  • Full-time
    • 12 months

Start dates & application deadlines

Credits

180 alternative credits

Delivered

On Campus

Academic requirements

GPA admission requirements GPA
Upper Second Class

Other requirements

General 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.

Tuition Fee

To alway see correct tuition fees
  • International

    20400 GBP/year
    Tuition Fee
    Based on the tuition of 20400 GBP per year during 12 months.
  • National

    4600 GBP/year
    Tuition Fee
    Based on the tuition of 4600 GBP per year during 12 months.

Living costs for Bath

808 - 1228 GBP /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Our partners

Advanced Quantitative Methods in Social Sciences
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University of Bath

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