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The Master of Data Science (MDS) at Durham University is designed by experts to develop your specialist skills in efficiently managing and analyzing diverse data types. This program is ideal for graduates seeking advanced understanding of complex data and a competitive edge in the dynamic field of data science.
Ranking:
Durham University is consistently ranked among the top UK universities for graduate employability (Complete University Guide 2025).
Course overview:
Core Modules:
The Data Science Research Project
Critical Perspectives in Data Science
Programming for Data Science
Ethics and Bias in Data Analytics
Machine Learning
Strategic Leadership
You can choose to take the general route or take a specialized pathway:
Digital Humanities
Health
Social Analytics
Heritage
Teaching methods: Teaching is delivered in a blended mode, combining in-person and online elements. Learning takes place through lectures, seminars, lab sessions, group projects, and independent research, with additional teaching practices including simulations and research-led activities.
Assessments: Assessment methods include coursework, written examinations, lab reports, project presentations, and a major research dissertation. Some modules require a minimum pass mark of 50%.
Computer laboratories: Students have access to advanced software and computing resources for hands-on learning.
Group and individual research projects: Collaborative and independent projects develop research and analytical skills.
Research training: Research-led teaching is embedded in all modules to build strong investigative capabilities.
Simulations and practical exercises: Simulated data environments and applied exercises enhance real-world readiness.
Support from research-active staff: Students benefit from expert academic guidance throughout the program.
Library and digital resources: Full access to Durham’s comprehensive academic and digital collections.
Interdisciplinary collaboration: Opportunities to work across disciplines on complex data challenges.
Seminars and workshops: Participation in events that connect students with industry and academic leaders.
Networking opportunities: Direct engagement with industry professionals and leading researchers.
Research dissemination guidance: Support in preparing research for presentations, publications, and wider dissemination.
Graduate employment: Graduates are well-prepared for roles in IT, business, government, and research, with high demand for data science expertise across sectors.
Industry links: Durham’s reputation and professional connections provide excellent job prospects and long-term career value.
Further study: Students can pursue a PhD in Data Science, Computing, or related fields.
Advanced MSc programs: Options include Artificial Intelligence, Health Informatics, or Computational Social Science, building on the interdisciplinary skills gained in the MDS program.
IELTS: Minimum requirement is 6.5 overall, with no component under 6.0TOEFL: Minimum requirement is 92 overall, with no component under 23International students who do not meet direct entry requirements for this degree might have the option to complete an International Foundation Year.Scholarships availableAcademic transcripts, Evidence of English language proficiency (if applicable), Personal statement and References required for applicationEntry requirements: A UK first or upper second class honours degree or equivalent in ANY degree that doesn’t include a strong data science component including those in social sciences, the arts and humanities, business, and sciences.BusinessmanCommunications officerComputer services AssociateTeacherForeign service AssociateGovernment StaffJournalistLawyerLibrarianMuseum curatorshipPolitician
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Durham University
