Enter OTP
This MSc program at GCU London equips students with practical skills in big data, AI, and data analytics. Designed for STEM graduates, it focuses on developing solutions for real-world challenges using advanced technologies like cloud computing, machine learning, and IoT, while emphasising ethical data use for societal benefit.
Course Overview
Core:
Big Data Landscape
Software Development for Data Science
Artificial Intelligence and Machine Learning
Data Ethics and Research Methods
Cloud Computing and Web Services
Software Engineering and DevOps (AWS)
Big Data Platforms
Data Visualisation
Research Project - Dissertation
Practical Skills Development:
Analyse and visualise large, varied data sets
Immediate application of tools in professional environments
Research-Led and Career-Focused:
Informed by current industry demands and societal challenges
Focus on creating data-driven solutions for areas like health, smart cities, sustainability, and security
Undertake a dissertation in your specialism.
Your work will be supported
Graduate Outcomes:
High employability across sectors such as engineering, healthcare, pharmaceuticals, retail, finance, and smart environments
Graduates support innovation and sustainable development by leveraging big data insights
Professional Skills: Training in cloud platforms, machine learning techniques, database technologies, and data communication
Further Study: Solid foundation for PhD-level research or specialised certifications
Career Support: Support for internships, networking, and placement through GCU London’s careers team
Entry Requirements: UK honours degree 2:2 (or equivalent) in computing with software development, for example, computing, computer science, software engineering, web technologies and computer engineering. Applicants with Industry qualifications/experience within the GCU Recognition of Prior Learning (RPL) Policy are also welcome to applyAcademic IELTS: 6.0 with no element below 5.5.Accredited by BCS, The Chartered Institute for ITScholarships 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 ArchitectBusiness Intelligence AnalystDatabase DeveloperData ScientistData AnalystDatabase Manager
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Glasgow Caledonian University
