COURSE IN DEPTH
Core Modules
In order to complete this course a student must successfully complete all the following CORE modules (totalling 180 credits):
Principles of Experimental Design and Ethical Practices in Engineering and Technology for Medicine
20 credits
This module is designed to introduce you to the knowledge and skills required to design, execute and disseminate a research project relevant to medical engineering and imaging technology for healthcare. This will prepare you to carry out your research project later in the course. You will discuss fundamentals of experimental design, data acquisition and statistical analysis and have opportunities to analyse, interpret and report realistic experimental data.
Introduction to STEMM* Principles and Practices for Technical Decision Making
40 credits
This module focuses on the application of Science, Technology, Engineering, Mathematics and Medicine (STEMM) principles to medicine and biology. The aim of the module is to introduce you to key principles and practices relating to human anatomy and physiology, mechanics, electronics, electromagnetism, and mathematics used in the technical decision-making process for the design and development of healthcare technologies. This module enables students from varying backgrounds and career paths to transition into the advanced topics covered in the core and specialist modules delivered in the subsequent semesters of the course. In addition to lectures, you will undertake a workshop-based practical group project requiring you to apply the theory you have learned to solve practical problems.
Introduction to Principles and Approaches of Data Science for Healthcare Applications
20 credits
This module will provide you with the knowledge and understanding of data science principles and approaches for healthcare applications to allow you to develop health data science skills and abilities for improving healthcare. It will also introduce you to the concepts and practicalities of programming in R. You will learn to explore, visualise, and analyse health data to understand data science principles, investigate patterns, model outcomes, and make predictions for medical applications.
Fundamental Principles of Physiological Signal Measurement, Synthesis and Processing OR
20 credits
This module covers the key principles of biological sensing within the clinical and research environments allowing you to develop the abilities and skills to apply the principles commonly used in the design and development of medical instrumentation for various clinical and non-clinical purposes.
Applied Digital Signal Processing
20 credits
This module introduces key concepts, techniques, and tools for digital signal processing. Applied Digital Signal Processing is a fundamental tool for any organisation to create realisable digital filters which can be applied in diverse application domains including the healthcare sector. There is a strong practical aspect to the module which culminates in a demonstration and viva of a real-time digital filter design.
Masters Research Project
60 credits
The project is an opportunity for you to complete a piece of individual research work in your chosen topic to demonstrate your understanding of the field via applications in healthcare. You will have guidance and support from both the teaching staff and your allocated project supervisors.
Optional Modules