Gain a grounding in core neuroscience concepts and understand the ‘state of the art’ with regard to research methodology.

Discover the basics of python programming and statistical methods and understand the underlying concepts of statistics.

Explore a broad range of topics related to neural engineering and relevant to your specific research project.

Become familiar with the breadth and variety of research in neurotechnology, and develop presentation, writing and critical analysis skills.

Begin the background research and planning for your project.

Examine advanced imaging technologies and critically evaluate and design imaging experiments to analyse dynamic processes in complex biological systems.

Explore the core aspects of biological and clinical measurement such as data handling, sampling and measurement.

Understand the fundamental biological and biophysical processes involved in cancer and the application of bioengineering to better understand and manage the disease.

Cover the scope of biomimetics and investigate the principles that help engineers solve technical problems using inspiration from nature.

Discover technology used in clinical settings for interfacing of the human brain to electronic circuitry.

Study biomechanics on a cellular scale and investigate methods of sensing and cell manipulation.

Appreciate the role of computational and theoretical approaches to understanding the nervous system.

Understand the basic physics of ionising radiation as safely implemented in radiotherapy, and review the range of applications used in the treatment of patients.

Learn about the neurobiology of hearing and the characteristics of speech and the principles of its processing.

Assess the control of human movement from the perspective of both adaptation of the neural control system and adaptation of properties of the mechanical plant.

Examine digital image processing relevant to image analysis and appreciate aspects of computation involved in interpreting images.

Appreciate the basic physics of nuclear medicine and discover the range of applications used in the diagnosis and treatment of patients.

Analyse a range of appropriate mathematical models to model biological systems and analyse complex biological data.

Deepen your understanding of the key skills needed by professional engineers in the development of medical systems and devices, specifically in the preparation of regulatory approval.

Explore various aspects of medical device entrepreneurship, looking at case studies from start-ups, industry and investment firms to gain a sense of the process and challenges in developing your own business idea.

Analyse engineering principles and approaches towards the study of biomechanical behaviour from a cellular to tissue scale.

Become familiar with the latest advanced features of medical imaging (CT, X-ray, MR and US) and their use in modern hospital practice.

Examine how images of the body can be obtained using different forms of penetrating radiation and how different forms of imaging work.

Understand reinforcement learning and its mathematical foundations.

Learn how to describe organ systems and their functions, covering everything from the cardiovascular system to brain function and the musculoskeletal and respiratory systems.

Examine fundamental concepts in normal tissue development and discuss their imitation within a lab setting.