12 months
Duration
25300 GBP/year
17100 GBP/year
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

What makes societies inclusive? How do data practices describe, amplify or confront problems of marginalisation and inequality? This new Data, Inequality and Society programme from The University of Edinburgh brings advanced, cross-disciplinary knowledge together with sectors and experts who are committed to building inclusive and equitable global societies.

Visit the official programme website for more information

Overview

Inequality and exclusion lie at the heart of the ‘wicked problems’ that societies face today. You will learn to identify and address them through a collaborative approach that offers a critical and empirical exploration of the causes and consequences of inequalities in societies around the world. The programme offers you flexibility and choice in the way you study, supporting you to develop advanced knowledge of the ways in which data practices can exacerbate inequalities but also support projects and policies of inclusion.

You will develop your own understanding and ability to lead in building future inclusive societies by working with leading-edge knowledge, applying insights to a project you care about, and developing essential creative and practical skills to support your work. You will have access to sector experts and leading researchers addressing how we build and sustain more equitable societies. By supporting you to engage critically, this programme will help you develop your ability to lead positive change.

Postgraduate Study at the Edinburgh Futures Institute

This Data, Inequality and Society  programme from The University of Edinburgh  is part of an interconnected portfolio of postgraduate study in the Edinburgh Futures Institute (EFI). EFI supports interdisciplinary teaching, learning and research that is focussed on complex global and social challenges. Our programmes are all taught by academic experts from many different subject areas, and as an EFI student you will develop creative, critical and data-informed thinking that cuts across traditional disciplinary boundaries. You will have the space to think deeply about questions linked to your own passions and professional goals, and will develop a project based on an issue that you care about.

As well as knowledge specific to your area of study, studying at EFI will give you the skills and understanding you need to become a creative, confident and critical citizen in a fast-changing world. These will include core data skills, data ethics, the ability to interrogate issues of global scope, and the creative and analytic approaches to knowledge that are vital for building better futures. You can join us regardless of whether you already have skills in the use and application of digital data.

Career opportunities

All students will develop a solid understanding of data-driven decision-making in international and local development; they will possess the analytic, research, and creative skills to approach challenges in new, robust, and data-informed ways. Recent graduates will be well placed to enter the job market as ‘translators’ between data scientists and people operating at strategic or operational levels – likely roles include private, public, and third sector project, programme, and policy advisers, analysts, and coordinators.

For students with prior professional experience, the programme will support career development (and transition) as leaders in new or existing projects with a strong data and/or inclusion aspect.

The core elements of the programme address the data and higher-order skills we know are important for the future of work, confident and critical citizenship, and a thriving, just society.

Programme Structure

You will take the following 10 credit core courses for your programme:

  • Exclusion and Inequality. The course engages with interdisciplinary social science theories to explore how exclusions and inequalities are created and sustained and what effects they have on diverse societies.
  • Inclusive Society. The course explores, through the analysis of different types of data, concrete examples of inclusive projects initiated by government, private sector, and civil society.

You will also take the following 10 credit shared core courses, which are compulsory for EFI students on all programmes:

  • Interdisciplinary Futures
  • Insights Through Data or Text Remix (choose one)
  • Ethical Data Futures
  • Representing Data or Building Near Futures (choose one)

These shared core courses place you in cross-disciplinary teams with students from other programme areas. 

Key information

Duration

  • Full-time
    • 12 months
  • Part-time
    • 24 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

  • A UK 2:1 honours degree, or its international equivalent, in any discipline.
  • We will also consider your application if you have other professional qualifications or experience; please contact us to check before you apply. In particular, we welcome applications from professionals with experience (e.g. working in companies, government, or third sector organisations) designing or implementing projects, programmes, or policies that aim to diminish inequalities.

Tuition Fee

To alway see correct tuition fees
  • International

    25300 GBP/year
    Tuition Fee
    Based on the tuition of 25300 GBP per year during 12 months.
  • National

    17100 GBP/year
    Tuition Fee
    Based on the tuition of 17100 GBP per year during 12 months.

MSc part-time

  • International/EU: £12,650

Living costs for Edinburgh

725 - 1167 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

Data, Inequality and Society
-
The University of Edinburgh

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