MEng Biomedical Engineering
Entry requirements
A*AA -- to include: A* in Mathematics; A in Physics; A in a third subject (A-levels), 39 points -- to include: 6 in Mathematics at higher level; 6 in Physics at higher level; 6 in a third subject at higher level (International Baccalaureate)
About this course
MEng in Biomedical Engineering, a biomedical engineering degree centred on the application of engineering principles and technology to human health. Core topics include Programming, Systems Design, Circuit Design, Signal Processing, Microelectronics, Control Systems, Data Analysis, Statistics, Laboratory Techniques, Research Methods, Project Management, Engineering Design, Critical & Analytical Thinking, Ethics & Professional Practice, Entrepreneurship, Artificial Intelligence & Machine Learning. Students complete a year-long individual research project in the final year. The first year establishes fundamental scientific and mathematical knowledge through Bioengineering Science 1, Mathematics 1, Computer Fundamentals and Programming 1, Mechanics and Electronics 1, Medical and Biological Science 1, and Design and Professional Practice 1. The second year expands technical capabilities with Mathematics 2, Signals and Control 2, Fluid and Solid Mechanics 2, Electronics and Electromagnetics 2, Design and Professional Practice 2, Programming 2, Bioengineering Science 2, and Medical Science 2. The third year incorporates Probability, Statistics and Data Analysis, Bioengineering Group Project, Modelling in Biology, I-Explore, Biomedical Instrumentation, and Biomechanics, alongside options such as Foundations of Synthetic Biology, Human Centred Design of Assistive and Rehabilitation Devices, Biomimetics, and Tissue Engineering and Regenerative Medicine. The fourth year centres on an Individual Project alongside specialised options including Computational Neuroscience, Brain Machine Interfaces, Molecular, Cell and Tissue Biomechanics, Orthopaedic Biomechanics, Animal Locomotion and Bioinspired Robotics, Application Specific Integrated Circuits (ASICs) for Bioengineering, Medical Device Entrepreneurship, Neuroscience, and Nanotechnologies for Cancer Diagnosis and Cancer Therapy.
Modules
- Bioengineering Science 1
- Mathematics 1
- Computer Fundamentals and Programming 1
- Mechanics and Electronics 1
- Medical and Biological Science 1
- Design and Professional Practice 1
- Mathematics 2
- Signals and Control 2
- Fluid and Solid Mechanics 2
- Electronics and Electromagnetics 2
- Design and Professional Practice 2
- Programming 2
- Bioengineering Science 2
- Medical Science 2
- Probability, Statistics and Data Analysis
- Bioengineering Group Project
- Modelling in Biology
- I-Explore
- Biomedical Instrumentation
- Biomechanics
- Biomaterials for Bioengineers
- Physiological Fluid Mechanics
- Biomedical Advanced and Computational Stress Analysis
- Image Processing
- Digital Biosignal Processing
- Software Engineering for Bioengineers
- Foundations of Synthetic Biology
- Human Centred Design of Assistive and Rehabilitation Devices
- Biomimetics*
- Advanced Imaging Technologies for Systems Biology and Biomedical Research
- Advanced Physiological Monitoring and Data Analysis*
- Cellular and Molecular Mechanotransduction*
- Communicating Biomedical Science and Engineering*
- Tissue Engineering and Regenerative Medicine
- Individual Project*
- Computational Neuroscience*
- Brain Machine Interfaces*
- Advanced Physiological Monitoring and Data Analysis*
- Molecular, Cell and Tissue Biomechanics*
- Cellular and Molecular Mechanotransduction*
- Human Neuromechanical Control and Learning*
- Orthopaedic Biomechanics*
- Biomimetics*
- Animal Locomotion and Bioinspired Robotics*
- Application Specific Integrated Circuits (ASICs) for Bioengineering*
- Medical Device Entrepreneurship*
- Neuroscience*
- Nanotechnologies for Cancer Diagnosis and Cancer Therapy*
- Advanced Biomaterials for Bioengineers*
- Industrial Applications of Cellular Engineering*
- Communicating Biomedical Science and Engineering*
- Principles of Biomedical Imaging*
- Reinforcement Learning for Bioengineers*
- Artificial Intelligence for Drug Discovery*
- Non-ionising Functional and Tissue Imaging*
- Physiological Fluid Mechanics*
- Business for Professional Engineers and Scientists
- Medical Device Certification*