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The MSc Data Science at the University of East London is a cross-disciplinary, methodology-driven program focusing on the full analytics pipeline rather than software development, designed to prepare graduates for data-centric and quantitative roles across industries such as health, crime, business, and smart cities.
Course Overview:
Mental Wealth; Professional Life (Data Ecology)
Advanced Decision Making: Predictive Analytics & Machine Learning
Spatial Data Analysis
Data Science Dissertation
Variation for Online Learning Students
Teaching: Delivered through intensive block teaching, blended learning, tutorials, and applied, project-based sessions supported by research-active faculty.
Assessment: Assessed through laboratory portfolios, coursework, and a research dissertation—no formal exams.
Delivered in block and blended learning format to support working professionals.
Industry engagement through applied projects in health, crime, smart cities, and business sectors.
Intensive teaching blocks combined with weekly interactive sessions.
Real-world case studies and project-based learning focused on data science methodologies.
Access to dedicated career coaching, mentoring, and networking opportunities.
Located at UEL’s Docklands Campus with 24/7 library access, modern labs, and on-campus accommodation.
Membership eligibility with the Royal Statistical Society enhances professional recognition.
Graduates are well-prepared for roles in local government, energy, technology, education, and business.
Strong focus on employability with career coaching and enterprise support.
Pathway to further study or research in data science and analytics.
Membership eligibility with the Royal Statistical Society supports further professional development.
Part time studies available ONLY for home studentsEntry Requirements: Bachelor's degree with minimum Second Class (2:2) or equivalent in any subject.IELTS: 6.0 with minimum 6.0 in writing and speaking, and 5.5 in listening and readingTwo intakes: September and January Your personal details, academic qualifications (predicted works too), a personal statement, evidence of your English language skills (with relevant qualifications), a reference and employment history are required for applications.Scholarships availableData AnalystSystem AnalystBusiness ManagerIT TeacherChief Software ArchitectData ConsultantBusiness Intelligence AnalystPolicy AnalystData Visualisation SpecialistResearcher
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University of East London
