Data, Inequality and Society MSc, PgDip (ICL), PgCert

An interdisciplinary degree with Edinburgh Futures Institute

What makes societies inclusive? How do data practices describe, amplify or confront problems of marginalisation and inequality?

This MSc programme from the Edinburgh Futures Institute brings advanced, cross-disciplinary knowledge together with sectors and experts who are committed to building inclusive and equitable global societies.

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
• 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 programme is part of an interconnected portfolio of postgraduate study opportunities at Edinburgh Futures Institute (EFI).

The Futures Institute supports interdisciplinary teaching, learning and research that is focused on complex global and social challenges. Our programmes are taught by academic experts from many different subject areas.

As a Futures Institute student, you should be proactive and motivated. You will be supported to 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 Edinburgh Futures Institute will give you the skills and understanding you need to become a creative, confident, and critical citizen in a fast-changing world.

These skills include:

• core data skills
• data ethics
• the ability to interrogate issues of global scope using perspectives from across disciplines
• creative and analytic approaches to knowledge

You can join us regardless of whether you already have experience or practical skills in the use and application of digital data.

These entry requirements are for the 2025/26 academic year and requirements for future academic years may differ. Entry requirements for the 2026/27 academic year will be published on 1 Oct 2025.

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.

Students from China

This degree is Band C.

• Postgraduate entry requirements for students from China

International qualifications

Check whether your international qualifications meet our general entry requirements:

• Entry requirements by country

English language requirements

Regardless of your nationality or country of residence, you must demonstrate a level of English language competency which will enable you to succeed in your studies.

English language tests

We accept the following English language qualifications at the grades specified:

• IELTS Academic: total 7.0 with at least 6.5 in each component. We do not accept IELTS One Skill Retake to meet our English language requirements.
• TOEFL-iBT (including Home Edition): total 100 with at least 23 in each component. We do not accept TOEFL MyBest Score to meet our English language requirements.
• C1 Advanced (CAE) / C2 Proficiency (CPE): total 185 with at least 176 in each component.
• Trinity ISE: ISE III with passes in all four components.
• PTE Academic: total 73 with at least 65 in each component. We do not accept PTE Academic Online.
• Oxford ELLT: 8 overall with at least 7 in each component.

Unless you are a national of a majority English speaking country, your English language qualification must be no more than three and a half years old from the start of the month in which the programme you are applying to study begins. If you are using an IELTS, PTE Academic, TOEFL, Trinity ISE, or Oxford ELLT test, it must be no more than two years old on the first of the month in which the programme begins, regardless of your nationality. (Revised 14 January 2025 to include Oxford ELLT.)

Degrees taught and assessed in English

We also accept an undergraduate or postgraduate degree that has been taught and assessed in English in a majority English speaking country, as defined by UK Visas and Immigration:

• UKVI list of majority English speaking countries

We also accept a degree that has been taught and assessed in English from a university on our list of approved universities in non-majority English speaking countries (non-MESC).

• Approved universities in non-MESC

If you are not a national of a majority English speaking country, then your degree must be no more than five years old at the beginning of your programme of study.

Find out more about our language requirements:

• English language requirements

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.