Data, Inequality and Society (Online Learning) MSc, PgDip (ICL), PgCert
Awards: MSc, PgDip (ICL), PgCert
Study modes: Part-time Intermittent Study, Full-time, Part-time
Programme website: Data, Inequality and Society (Online Learning)
An interdisciplinary degree with the Edinburgh Futures Institute
What makes societies inclusive? How do data practices describe, amplify or confront problems of marginalisation and inequality?
This new 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 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. 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
- 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.
The EFI model (which we call ‘fusion’ teaching) allows students to study on a fully online basis, or to combine online with on-campus study.
Since online and on-campus students study together, and we want to provide flexibility to move from on-campus to online study, we charge the same tuition fee levels for online study as for on-campus study.
For more information, see section on Studying with the Edinburgh Futures Institute.
Students on the programme study the following:
- A portfolio of EFI ‘shared core’ courses (40 credits) which teach the essential critical and hands-on data skills, enquiry methods, ethical and creative capacities needed to underpin your programme-based studies.
- Core courses (20 credits) specific to your programme.
- A project (taking the form of a 20-credit ‘integration and project planning’ course, and a 40-credit final project).
- A wide choice of short 10 credit optional courses (60 credits), at least two of which must be on topics related to your programme, with scope to study across the entire EFI portfolio.
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. They will teach you to collect, manage and analyse computational datasets, and to use emerging methodologies for mapping and designing the future. They will also teach the fundamentals of data ethics, while supporting you to use your creative skills in the analysis and representation of data-informed and qualitative inquiry.
EFI offers a wide portfolio of about 40-50 optional courses taught by academic staff from across many discipline areas including approximately six to eight courses on topics associated with your programme.
The exact courses will vary from year to year. In 2023-24, the courses associated with your programme may include:
- Data Science for Society
- Power, Data and Inequality in Value Chains
- Work Futures
- Indigenous Futures
- The Coloniality of Data
- Data and Design for a Post-Covid City
- Migration and Forced Displacement in a Digital Age
Optional courses from across the wider portfolio will cover a range of themes and topics, such as:
- critical perspectives on how new technologies are changing society
- data, programming and research skills that advance the skills taught in the EFI shared core
- how new and rapidly changing technologies and data sources are transforming the future of democracy
- what the future of education might look like
- how narratives drive the way we understand the world
- bringing service design and service management together to build change in a data-driven society
- current challenges and futures for the creative industries
In your final project, you will be able to apply your learning in depth to a domain, issue or concern which drives you. It could be:
- based on your own personal or professional interests
- defined by your employer
- sponsored by one of our EFI industry, government or community partners
- aligned to one of the EFI research programmes
You can submit your final project report as a written piece of work, or combine text with other forms as appropriate – video, visualisation, a digital artefact, performance, code.
You will provisionally identify your project topic relatively early on in the programme, and work on it in parallel with the taught courses. We expect projects to take an interdisciplinary approach which connects with the creative, data and future-oriented nature of the EFI core.
Part-time and full-time options
Full-time students on the programme take these courses in one year.
Part-time students take the same courses as full-time students, over either two or three years:
- For the two-year version, students take 80 credits of courses in year one and 100 credits (including the project) in year two.
- For the three-year versions, students take 120 credits of courses over years one and two (with up to 80 credits per year in each year), and then take the project (60 credits) in year three.
Students can also study towards a Postgraduate Certificate or Postgraduate Diploma:
- Students have two years to undertake the Postgraduate Diploma, taking the same taught courses as students on the MSc, but not the project. They will take a total of 120 credits of courses - between 40 and 80 in each year.
- Students have one year to undertake the Postgraduate Certificate, taking 60 credits of courses, including between 10 and 40 credits of the EFI ‘shared core’ courses, between 20 and 50 credits of programme-specific courses (either the programme core courses or optional courses), and up to 30 credits from the broader suite of EFI optional courses.
Find out more about compulsory and optional courses
We link to the latest information available. Please note that this may be for a previous academic year and should be considered indicative.
|MSc||Data, Inequality and Society||Up to 3 Years||Part-time Intermittent Study||Programme structure 2022/23|
|MSc||Data, Inequality and Society||1 Year||Full-time||Programme structure 2022/23|
|MSc||Data, Inequality and Society||2 Years||Part-time||Programme structure 2022/23|
|PgDip (ICL)||Data, Inequality and Society||Up to 2 Years||Part-time Intermittent Study||Programme structure 2022/23|
|PgCert||Data, Inequality and Society||9 Months||Part-time||Programme structure 2022/23|
On successful completion of this programme, you will be able to:
- characterise and analyse the extent and dimensions of social inclusion in any given institutional and human situation
- design creative solutions for improving the inclusiveness of programmes, projects and policies, across sectors
- draw on and combine different disciplines/viewpoints when analysing the inclusiveness of societies and designing solutions
- work efficiently on complex projects of inclusion, together with teams that are diverse and values-driven
- draw fully on data in all above endeavours, maintaining a critical stance on data production and usage
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.
What does interdisciplinary study mean?
Interdisciplinary study is at the heart of the EFI programmes. It means the ability to synthesise and apply knowledge and skills from across different disciplines, and is crucial to addressing many current complex challenges and planetary-scale issues.
We support you to develop interdisciplinary perspectives in different ways. For example, the EFI shared core courses draw on diverse disciplines to support you to work creatively and ethically with all kinds of data. Each programme develops interdisciplinary perspectives in the ways most appropriate to their specific domain and focus. And finally – because you will have such wide choice in the optional courses you choose to take in EFI – you will have the flexibility to design your own disciplinary pathway through your studies, integrating your insights and reflecting on their interdisciplinary power through your project-related work.
Flexible study choices
You will have a lot of flexibility in how you choose to study in EFI.
All the core and optional courses offered for this programme, and almost all the broader portfolio of optional courses, are taught in ‘fusion’ mode: a distinctive approach which allows you to combine on-campus with online study, and teaches on-campus and online students together as a single cohort.
As a full-time, on-campus student you may choose to study most of your courses on-campus, but you will have some freedom to choose to study online. Please note however that full-time students on study visas have particular attendance and engagement requirements and need to be based entirely on-campus.
If you are considering full-time online study, please note that all courses require significant synchronous engagement in the classroom. Get in touch with us with questions before applying.
You can choose to study on a full-time basis over one year, or part-time over two or three years. You can register for a full MSc, or for a Postgraduate Diploma or Postgraduate Certificate. Part-time students can choose to study either entirely on-campus, online or via a combination of the two.
How you will learn in EFI
The EFI approach to teaching places student experience and choice at its heart and connects global cohorts in new ways.
Students study in teaching spaces and digital learning environments designed to enable on-site/online sharing of teaching and learning activity. Your classes and contributions will be recorded and livestreamed so that they can be shared – and learning communities built – across modes and time-zones.
Students studying online will have a presence in on-site classrooms (via video, audio and text in different forms), and students studying on-campus will be able to work with diverse teams located across the globe. All courses require significant synchronous engagement in the classroom. While there may be opportunities to engage in some activities asynchronously from different time zones applicants should be aware of the requirement to join live classes at particular times. Please get in touch with us to discuss your particular circumstances before applying.
All students will have a presence in the digital spaces where teaching happens – video-based classes, real-time collaboration spaces, live chats, asynchronous forums, shared exhibition and blogging spaces and more.
Teaching methods will include:
- group work
- expert lectures both live and livestreamed
- data skills and programming workshops online and on-campus
- on-site and virtual drop-ins
- hybrid seminars
- interactive journal clubs
- external stakeholder challenges and code-alongs
- data visualisation exercises
Apart from the shared core, most EFI courses are delivered in intensive two-day blocks of teaching and learning activity, combined with pre- and post-intensive wraparound activity that will include a range of scheduled and self-directed activities (for example, group project activities, reading, assessment).
These entry requirements are for the 2023/24 academic year and requirements for future academic years may differ. Entry requirements for the 2024/25 academic year will be published on 2 October 2023.
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.
Check whether your international qualifications meet our general entry requirements:
English language requirements
You must demonstrate a level of English language competency at a level that will enable you to succeed in your studies, regardless of your nationality or country of residence.
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.
- 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 70 with at least 62 in each component.
Your English language qualification must be no more than three and a half years old from the start date of the programme you are applying to study, unless you are using IELTS, TOEFL, Trinity ISE or PTE, in which case it must be no more than two years old.
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:
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).
If you are not a national of a majority English speaking country, then your degree must be no more than three and a half years old at the beginning of your programme of study.
Find out more about our language requirements:
Information on tuition fees and studying costs:
Tuition fees for postgraduate Edinburgh Futures Institute 2023-24 programmes can be viewed here when published.
|MSc||Data, Inequality and Society||Up to 3 Years||Part-time Intermittent Study||Tuition fees|
|MSc||Data, Inequality and Society||1 Year||Full-time||Tuition fees|
|MSc||Data, Inequality and Society||2 Years||Part-time||Tuition fees|
|PgDip (ICL)||Data, Inequality and Society||Up to 2 Years||Part-time Intermittent Study||Tuition fees|
|PgCert||Data, Inequality and Society||9 Months||Part-time||Tuition fees|
- College of Arts, Humanities and Social Sciences PG Admissions Office
- 57 George Square
- EH8 9JU
Select your programme and preferred start date to begin your application.
MSc Data, Inequality and Society (Fusion Online) (ICL) - 3 Years (Part-time Intermittent Study)
MSc Data, Inequality and Society (Fusion Online) - 1 Year (Full-time)
MSc Data, Inequality and Society (Fusion Online) - 2 Years (Part-time)
PG Dip Data, Inequality and Society (Fusion Online) (ICL) - 2 Years (Part-time Intermittent Study)
PG Cert Data, Inequality and Society (Fusion Online) - 9 Months (Part-time)
|Programme start date||Application deadline|
|11 September 2023||15 June 2023|
We operate a number of selection deadlines. We may make a small number of offers on an ongoing basis, but we will hold the majority of applications until the next published selection deadline before deciding which applicants to make offers to. If we have not made you an offer by a specific selection deadline this means one of two things:
- your application has been unsuccessful, in which case we will contact you to let you know, or
- your application is still being considered and will be carried forward for consideration in the next selection deadline and we’ll be in touch once a decision is made.
If you are applying for funding or will require a visa then we strongly recommend you apply as early as possible.
Deadlines for applicants applying for study in 2023-24 are:
|Round||Application Deadline||Decisions by|
|1||01 December 2022||26 January 2023|
|2||09 February 2023||30 March 2023|
|3||17 April 2023||08 June 2023|
|4||25 July 2023||10 August 2023|
You must submit one reference with your application.
You must submit one reference with your application.
We will decide which applications to offer places to on the basis of:
- Educational achievement
- Professional experience (where relevant)
- Quality of personal statement
Your personal statement should include why you are interested in studying on this particular programme and – if relevant – how it will support your career development. The Edinburgh Futures Institute provides a space where students can pursue projects on issues they care about, so it would also be helpful (though not essential) if you could indicate the area on which you would most like to focus during your time in EFI.
Find out more about the general application process for postgraduate programmes:
- College of Arts, Humanities and Social Sciences PG Admissions Office
- 57 George Square
- EH8 9JU