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1 Year On Campus Masters Program
City University of LondonThe MSc Biomedical Engineering with Data Analytics at City, University of London, offered in collaboration with St George’s, University of London, is a highly interdisciplinary and industry-focused programme. Designed for graduates with an engineering or related background, this course combines biomedical engineering principles with advanced data analytics, empowering students to work at the forefront of healthcare innovation. The curriculum integrates experimental and computational knowledge and supports students in developing solutions for real-world healthcare problems, from wearable tech to bio-data security.
Students benefit from direct exposure to industry, practical lab sessions, and guidance from internationally recognised academics and professionals. The programme draws on strong clinical, research, and commercial partnerships, enhancing employability and research readiness.
Course Overview
Core Modules:
Biomedical Signals
Wearable and Implantable Devices
Biomedical Sensors and Systems
Healthcare App Design
Machine Learning
Data Analytics in Biomedical Engineering
Biodata Management: Ethics and Security
Entrepreneurship in Practice
Teaching & Assessment:
Delivery: Lectures, seminars, lab work, technical visits, and assignments
Assessment: Combination of coursework, class tests, exams, and dissertation
Industry-driven projects with hands-on application
Technical visits and workshops led by visiting experts
Access to advanced labs (wet/dry biomedical engineering, CAD/FEM, electronics)
Research-intensive dissertation with the option of industry collaboration
Entrepreneurship training embedded into the programme
Ideal preparation for careers in biomedical engineering, digital health, and research
Strong foundation for PhD study or work in academic/clinical tech innovation
Developed in consultation with healthcare industry and data analytics experts
Industry links improve employability outcomes
Taught by world-class faculty and clinicians from two leading universities
Applicants should hold at least a lower second-class honours (2:2) degree in biomedical engineering, electronic engineering, medical physics or a relevant subject, or the equivalent from an international institution.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.Application will be judged on individual meritScholarships availableLocation: Clerkenwell campusBiomedical Data AnalystDigital Health TechnologistMedical Device DeveloperClinical Data EngineerBioinformatics SpecialistMachine Learning Engineer (Healthcare)ResearcherPhD Candidate
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