MEng (Hons) Biomedical Engineering Integrated Master's degree at Imperial College London

Gain a fundamental understanding of the chemistry and materials science principles related to bioengineering, including how material properties are governed by their structure at different length scales. You'll also explore the foundations of classical thermodynamics and its applications in biomedical engineering and molecular sciences.

Uncover how to select the most appropriate mathematical technique for problem-solving and develop a platform of mathematical knowledge.

Learn the fundamentals of digital logic design and computer programming as you examine how digital computers communicate with the real world.

Explore the principles of mechanics and electronics and the mathematical connections between the two. Gain practical experience working in electronics and mechanics labs and uncover how these concepts can be used to study bioengineering problems.

Develop a foundational understanding of the chemistry and materials science principles related to bioengineering. You'll also cultivate wet lab skills in preparing a range of biomaterials and practising key classification techniques.

Discover the principles of engineering design and broaden your practical skills as you utilise appropriate tools and software to solve a variety of design problems.

Build upon your previous mathematical studies and equip yourself with the essential skills and knowledge you'll utilise for the remainder of your Biomedical Engineering programme.

Uncover the foundations of signal processing and linear control systems and their applications across the fields of bioengineering, biomedicine and medical engineering.

Examine the basic concepts of structural mechanics and their relevance in design and risk analysis, in addition to developing analytical skills in stress analysis. You'll also explore key equations in the study of fluid mechanics and apply these concepts to fluids problems within a biomedical context.

Understand the fundamental concepts and physical laws for electrostatics and magnetostatics and examine their application to basic physical and engineering problems. Gain experience working with simple electronics circuits and DC ORCAD/SPICE simulation of simple transistor topologies.

Harness the principles of engineering design and professional practice while collaborating on a Design, Make and Test group project. Work in a team to tackle a real design problem, broadening your engineering design skills and applying learning from other modules to a practical challenge.

Advance your programming skills using the Python language. Engage in labs and assignments to develop coding fluency. Cover more complex programming skills, including data structures, object-oriented programming, and algorithm design.

Broaden your understanding of the principles of thermodynamics and heat and mass transport in the context of biomedical engineering. Learn how to analyse transport-related processes using advanced mathematics and dimensional analysis, and how to formulate, manipulate and solve equations governing heat and mass transport.

Explore a range of physiological concepts and systems, including the nervous system, musculoskeletal system, endocrine system, gastrointestinal system, reproductive system and renal system. Learn about control processes in these systems, with an emphasis on the role of control, operational and design constraints within the nervous system.

Examine probability theory and the mathematical concepts that underlie statistical models. Learn how to apply statistical models to real-world data and equip yourself with the statistical skills and knowledge required for the advanced years of your Bioengineering programme.

Gain experience and refine your skills in project management, time management, collaboration, reporting and general communication as you work in teams on a research project of your choice.

Uncover the mathematical and computational modelling techniques used in biology and physiology. Explore nonlinear dynamics, networks in biology and the basics of stochastic processes in biology and medicine, and apply theory to practice as you develop your own models using MATLAB.

Choose from a range of subjects hosted outside of the department and learn alongside students from other areas of study.

Develop your understanding of electronics components and systems architecture and their applications in different types of biomedical instrumentation.

Explore the key concepts in biomechanics, such as kinematics and kinetics of human locomotion and macro- and micro-circulatory mechanics in various organs. Learn methods for analysing gait and practical approaches to quantifying and controlling biofluid flows.

Examine the major classes of biomedical implant materials (including metals, ceramics and polymers), focusing on their clinical use as replacements for body parts or tissue and the various reasons for failure.

Gain an understanding of advanced concepts in fluid mechanics and numerical methods for computational fluid dynamics, and examine their applications within physiology.

Examine advanced topics in mechanical drawing, stress analysis and finite element simulation in the context of biomedical applications. Learn how to design for the manufacture of biomedical devices, and obtain the skills required to become a stress analysis engineer in the biomedical/mechanical engineering industry.

Examine digital image processing and image analysis methods, and develop an appreciation of the computation involved in interpreting or 'parsing' images. Learn about the biomedical, clinical and research applications of image processing and computer vision.

Uncover the fundamental principles and techniques for representing, transforming and processing discrete-time signals. Deepen your knowledge through the practical implementation of theoretical concepts in biomedical applications.

Leverage your existing programming skills and gain experience working in a development team on a significant bioengineering software project. Learn software engineering tools, including those required for project lifecycle management, requirements capture, design, modelling, testing and effective teamwork.

Study the principles of genetic engineering, synthetic biology and the design of biological machines. Learn how to design CRISPR-based genome edits and metabolic biosynthesis pathways and apply this knowledge in a series of experimental lab practicals where you edit the genome of yeast and introduce new enzymes into these cells to get them to produce coloured pigments for art.

Learn how to design intuitive and efficient rehabilitation systems and assistive devices, integrating mechatronics, human factors and computer games. Understand how to assess current and emergent systems against the principles of human-centred design.

Discover the new interdisciplinary field of biomimetics, which explores how functional principles found in nature can inspire scientists and engineers to solve outstanding technological problems.

Learn how to critically evaluate and carefully design imaging experiments in order to analyse dynamic processes in complex biological systems.

Analyse and discuss the scientific literature relating to core aspects of biological and clinical measurement. Broaden your understanding of data handling and fitness for purpose, chemical measurement in cells and in vivo, challenges of non-invasive chemical monitoring of human tissue and approaches to invasive monitoring of tissue.