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MRes Sociotechnical Futures and Digital Methods - full-time

  • DeadlineStudy Details:

    MRes 1 year full-time

Course Description

Develop your understanding of the social and political implications of digitalisation, and learn how to effectively research and investigate them.

During this course, you’ll become a fully trained social science researcher with expertise in sociotechnical futures. Key topics that sit within this area include:

  • cybersecurity
  • the political implications of digitalisation
  • the use of AI and algorithms across various domains
  • technology and automation
  • climate change

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 may have an undergraduate degree in any subject.

We may make an offer based on a lower grade if you can provide evidence of your suitability for the degree.

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Fees

For fees and funding options, please visit website to find out more

Student Destinations

There is increasing demand for high-level quantitative and qualitative research 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 research and enquiry in the context of sociotechnical futures.

Module Details

Semester 1

Compulsory units

  • Digital methods and data skills for MRes
  • Dissertation
  • Interdisciplinary research methods in social sciences
  • ​AI as social and political practice: technology, society and politics​

Semester 2

You’ll choose 10 credits of optional units.

Compulsory units

  • Advanced computational social science methods and applications
  • Dissertation Continued
  • Interdisciplinary research methods in social sciences Continued

Optional units

  • Advanced qualitative methods
  • Advanced quantitative methods
  • Independent research essay
  • Knowledge, data and our digital social world

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