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The MSc Big Data and Business Intelligence at the University of Greenwich is a one-year full-time or two-year part-time program that equips students with the technical and analytical skills required for roles in data science, business intelligence, and software development.
Located in London, the program offers access to modern labs and expert faculty with real-world industry experience. It integrates big data technologies, machine learning, analytics, cloud systems, and business applications to prepare students for careers in data-intensive environments.
Teaching Methods: Lectures, tutorials, lab-based sessions, team projects, guest speakers
Assessment Methods: Coursework, group work, lab exercises, individual project/dissertation, presentations
Course overview
Core Topics:
Big Data
Applied Machine Learning
Advanced Database Technologies
Applied Machine Learning
Programming Fundamentals for Data Science
Graph and Modern Databases
Data Warehousing and Business Intelligence
Essential Professional and Academic Skills for Masters Students
Software Tools and Techniques
User Centred Web Engineering
Clouds, Grids and Virtualisation
Systems Modelling
Data Visualisation
Practical Skills Focus: Intensive lab work using real data and industry-standard tools; emphasis on software development lifecycle and data system design
Project-Based Learning: Individual dissertation solving real-world or research challenges using big data and BI technologies
Group Work: Collaborative exercises and presentations to simulate professional teamwork and communication
Industry Exposure: Taught by academic and practitioner experts with direct experience; frequent engagement with current industry trends
Career-Ready Graduates: Equipped for roles across data engineering, analytics, and cloud-based development
Further Study: Strong preparation for doctoral programs or specialist certifications in AI, data science, or business intelligence
Industry-Relevant Skills: Combines big data technologies with business-focused problem-solving and decision support
Career Services: Dedicated Employability and Careers Service, with CV support, mock interviews, and placement assistance
Global Outlook: Suitable for international, professional, and mature learners aiming for careers in global markets
Received 'Gold' in the Teaching Excellence Framework (TEF) 2023Part time studies available; 2 yearsEntry requirement: You should have an honours degree 2:2 or above in computing-related subject or in a suitable numerate subject (e.g. mathematics, physics, engineering, information systems or multimedia) that includes software development experience. OR substantial commercial/industrial experience including software development using modern programming languages and design.IELTS: 6.5 overall with minimum 5.5 in each skillTOEFL iBT- In Person only: 82 overall with no less than R18, L17, S20 and W17Scholarships availableYour 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.Big Data EngineerData AnalystBusiness Intelligence DeveloperData ScientistMachine Learning EngineerAnalytics ConsultantSoftware DeveloperCloud Solutions ArchitectData Warehousing SpecialistResearcher
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University of Greenwich
