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The University of Edinburgh, a prestigious institution in the United Kingdom, offers a ...
MSc Data, Inequality and Society
Central Campus
INTAKE: September
Program Overview
The MSc Data, Inequality, and Society at the University of Edinburgh offers an interdisciplinary approach to the intersection of data science and social issues. The program focuses on understanding the ways in which data can both reflect and perpetuate social inequalities. By exploring the implications of big data, algorithmic decision-making, and data-driven policies, students learn to critically assess how technology impacts society and explore strategies to address these issues. Students are also provided with the analytical tools necessary to conduct research in areas such as social inequality, digital justice, and the ethics of data use. The program prepares graduates to be leaders who can make a positive impact on society by using data to advocate for social justice, equity, and fairness.
Curriculum: The curriculum of the MSc Data, Inequality, and Society blends core courses in data science with social theory, ethics, and policy. Students begin with foundational courses in data analysis, statistics, and machine learning, equipping them with the technical skills needed to handle and interpret complex datasets. Key modules include topics such as data ethics, the politics of data, inequality and social justice, and the role of algorithms in decision-making. Students also gain practical experience through hands-on projects and case studies, where they apply their learning to real-world problems related to social inequality, poverty, and discrimination. Elective modules allow students to specialize in areas such as digital surveillance, public policy, or the ethics of artificial intelligence, depending on their interests.
Research Focus: The University of Edinburgh is known for its cutting-edge research, and the MSc Data, Inequality, and Society program is no exception. The university’s research initiatives focus on understanding the societal impact of data, with themes ranging from the ethical implications of algorithmic decision-making to the role of data in shaping economic inequality. Students have the opportunity to engage in ongoing research projects, addressing critical questions about how data-driven technologies influence access to resources and opportunities. The program encourages students to explore innovative ways to use data to tackle social issues, such as reducing inequality in education, healthcare, and employment. This research focus ensures that students are equipped with the latest insights and methodologies for addressing the complex intersection of data and society.
Industry Engagement: The MSc Data, Inequality, and Society program at the University of Edinburgh benefits from strong links with both public and private sectors, including government organizations, NGOs, and tech companies. These industry connections provide students with opportunities for internships, placements, and collaborative research projects that focus on addressing social inequality using data. The program also hosts guest speakers and industry experts who provide insights into the latest trends in data science and social policy. Through these interactions, students gain a better understanding of the practical applications of their learning, as well as the ethical and societal challenges associated with data use in both the private and public sectors.
Global Perspective: The program offers a global perspective on the role of data in addressing social inequality. Students examine international case studies to understand how data impacts social justice in different contexts and how data-driven policies can either alleviate or exacerbate inequality across various regions. The program emphasizes the global implications of digital divides, access to technology, and data justice, exploring how data affects marginalized groups and communities worldwide. The University of Edinburgh’s diverse student body further enriches this global perspective, providing opportunities for cross-cultural exchange and collaboration on social justice issues. Students graduate with a deep understanding of the international challenges posed by data inequality and are equipped to contribute to global efforts to use data for social good.
Location
Central Campus
Score
IELTS: 7
Tuition Fee
£ 28800
Postgraduate entry requirements:
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Academic Qualifications: Prospective postgraduate applicants to the University of Edinburgh are typically required to have achieved a minimum academic qualification of approximately 60%, based on their previous academic achievements and qualifications.
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English Language Proficiency:
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IELTS (International English Language Testing System): Minimum overall score of 7.0, with at least 6.0 in each component (Listening, Reading, Speaking, Writing).
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TOEFL (Test of English as a Foreign Language): Minimum score of 100 on the internet-based test (iBT), with at least 20 in each component (Reading, Listening, Speaking, Writing).
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PTE (Pearson Test of English): Minimum overall score of 70, with at least 59 in each component (Listening, Reading, Speaking, Writing).
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Students must provide:
- academic marksheets & transcripts
- letters of recommendation
- a personal statement - SOP
- passport
- other supporting documents as required by the university.
Work experience: Some postgraduate courses may require relevant work experience in the field.
It is important to note that meeting the minimum entry requirements does not guarantee admission, as the university considers factors such as availability of places and competition for the program. Additionally, some courses may have higher entry requirements or additional selection criteria, such as interviews or portfolio submissions.
The University of Edinburgh offers a range of scholarships and funding opportunities specifically designed to support international students pursuing undergraduate, postgraduate, and research programs. These scholarships aim to promote diversity, academic excellence, and global engagement.
Global Scholarships: The University of Edinburgh offers Global Scholarships to outstanding international undergraduate students. These scholarships provide financial assistance towards tuition fees and living expenses, enabling talented students from around the world to access quality education at Edinburgh.
Edinburgh Global Research Scholarships: International postgraduate students pursuing research-based programs (Ph.D., MSc by Research) can apply for Edinburgh Global Research Scholarships. These scholarships provide full or partial funding for tuition fees and living expenses during the research program.
School-specific Scholarships: Some academic schools and departments within the university offer scholarships targeting international students in specific disciplines or programs. These scholarships may be merit-based or need-based and vary in terms of eligibility criteria and funding amounts.
Commonwealth Scholarships: The University of Edinburgh participates in various Commonwealth scholarship schemes, providing opportunities for students from Commonwealth countries to study in the UK. These scholarships are funded by the UK government and other organizations.
External Funding Sources: International students are encouraged to explore external funding sources, such as government scholarships, private organizations, and international foundations, to support their studies at the University of Edinburgh.
It is important to note that scholarship availability, criteria, and application deadlines may change from year to year.
Graduating with an MSc in Data, Inequality and Society from the University of Edinburgh opens doors to impactful career opportunities at the intersection of data science, social justice, and policy analysis. This interdisciplinary program equips graduates with the skills, knowledge, and ethical perspectives necessary to address complex social inequalities using data-driven approaches.
Data Analyst in Social Research: Graduates can pursue roles as data analysts or researchers in social research organizations, think tanks, or academia. They analyze social data to understand and address issues related to income inequality, healthcare disparities, education access, and demographic trends.
Policy Analyst or Researcher: Many graduates specialize as policy analysts or researchers, working for government agencies, non-profit organizations, or international development organizations. They use data-driven evidence to inform policy decisions and advocate for social justice initiatives.
Community Organizer or Advocate: Graduates may work as community organizers or advocates, collaborating with grassroots organizations to address local social inequalities. They use data to empower communities, raise awareness, and mobilize for social change.
Social Impact Consultant: Graduates with expertise in data-driven social analysis can work as consultants, advising organizations on strategies for addressing inequality and measuring social impact. They collaborate with NGOs, foundations, and social enterprises to design and evaluate programs.
Data Journalist: Some graduates pursue careers in data journalism, using data visualization and storytelling techniques to communicate social trends and inequalities to broader audiences. They work for media organizations or independent outlets focused on social issues.
Policy Advisor in Government: Graduates may work as policy advisors in government agencies, contributing to the development and evaluation of policies related to social welfare, education, healthcare, or economic development. They leverage data insights to inform policy formulation and implementation.
Research and Academic Positions: The MSc in Data, Inequality and Society serves as a pathway for further studies (Ph.D.) and academic careers in sociology, public policy, or related fields. Graduates can pursue teaching and research positions in universities or research institutes.
