Postgraduate Certificate

Postgraduate Diploma

Master of Science

Postgraduate Certificate, Postgraduate Diploma, Master of Science

PSBEDA

MSc Biomedical Engineering with Data Analytics with placement 

Students to take the following 8 Core modules

Core

Taught Modules

Core-Elective

Students who secure an approved internship will be transferred to EPM467 and will be required to pass the 15-credit INM469 Professional Internship and Career Development module.
You are normally required to complete all the taught modules successfully before progressing to the dissertation. 
Students will be able to undertake either EPM967, a 120 credit Placement module or the Internship modules (EPM467 and INM469). You are unable to take both options.  

Dissertation Modules

Programme Structure

The MSc in Biomedical Engineering with Data Analytics (BioDAT) will prepare you for a successful career as a professional Biomedical Engineer. Biomedical Engineering, one of the leading and most exciting sectors of engineering, is a multidisciplinary topic that combines biology and engineering, applying engineering principles and materials to interfacing with humans for improving medicine and healthcare. Its significant growth over the last couple of decades has been driven by the medical challenges brought by aging populations, the need for new treatments for chronic and often untreatable conditions such as cancer, diabetes or cardiovascular disease and the need for in-situ, rapid diagnoses and interventions to address new disease challenges as they arise. Further to medical devices, biomedical engineering also directly relates to technology or interfacing with humans through wearable devices for fitness, wellbeing, and sports. 
The programme covers the study and integration of advanced methods and techniques with emphasis on biomedical electronics for the design and development of medical devices. More specifically insights will be offered on biological functions and structures generating physical responses that can be detected by specific sensors. Such sensors will be extensively studied with special mention on wearable and implantable versions. Medical instrumentation in terms of understanding and designing advanced analogue and digital electronic circuits and systems for bio-interfacing will be the core of the programme. This will be coupled with programming for interfacing with devices with specific emphasis on smart device interfacing and developing apps. A significant part of the programme will focus on data analytics for processing, analysing and securely storing medical data, with elements of ethics and big data management. The knowledge offered is uniquely interdisciplinary and MSc BioDAT adopts a wholistic approach in providing you with specialisation that combines electronics, biology and data processing and analytics with elements of programming, ethics and security.  
The programme is designed for new graduates and professionals with an engineering background who want to significantly advance their understanding of the field or are interested in either developing a medical device or handling biomedical data or both. The programme is offered full time for entry at the beginning of the academic year. The full-time programme follows a normal 12- month pattern with two terms of taught modules followed by a 3-month individual design project/dissertation. The curriculum consists of 8 core modules and a dissertation (or a 45-credit project on the internship track with an additional compulsory 15-credit module). 
Students on the MSc programme with Placement will undergo an additional 120-credits, achieved through successful completion of a 12-month placement, and are unable complete the internship track.  
The MSc BioDAT programme will include hands-on, lab-based tutorials and coursework and the use of tools and technologies which will equip you to pursue a practical project in the biomedical engineering area of your choice. Our laboratory facilities, both for taught courses and the specialised ones belonging to the Research Centre for Biomedical Engineering will allow you to work on designing, fabricating and testing devices, sensors and stimulators; simulating muliphysics and biophysical interfaces and functions; developing mathematical and computational models; work on advanced data processing and analytics algorithms; and develop apps for interfacing with smart devices. Some of the projects will be done within the research facilities and some projects will be in the form of placement in collaboration with biomed-tech companies that we collaborate with, often in the form of placements.

Use technologies to communicate topics in Biomedical Engineering effectively to technical and non-technical audiences (AHEP4 M17). 

Skills

Rationally exploit both traditional and novel technological approaches (AHEP4 M1, M2, M7, M13). 

Values and attitudes

Analyse, develop and select biomedical instrumentation circuits and tools that can interface with biological tissue and biosignals sources (AHEP4 M2, M3, M5, M13, M15). 

Analyse and solve problems and develop innovative solutions, processing real disease diagnostic data generated by cutting-edge bio-interfaces through specialised, data processing and data analytics algorithms, designing, implementing and testing biomedical data processing and secure storage methods and tools (AHEP4 M2, M3, M12). 

Knowledge

Gain skills about professional ethics and privacy in the context of Biomedical Engineering (AHEP4 M8, M17). 

Synthesise the acquired knowledge to demonstrate the ability to use Biomedical Engineering and Data Analytics methods and techniques (e.g. in biomedical sensors, medical electronics and instrumentation, diagnostic devices, biomedical data analytics, ethics and security) (AHEP4 M1-5, M12, M13). 

Embrace technical challenges as an opportunity for personal development (AHEP4 M13, M17). 

Rigorously assess alternative approaches and novel designs (AHEP4 M2, M5). 

Specify, design, build and evaluate biomedical data analytics programs, algorithms and associated Biomedical Engineering systems (AHEP4 M2, M3, M5, M13, M15). 

Critically evaluate professional, legal, social, cultural and ethical issues related to biomedical engineering, both in terms of medical device and bio-interfacing ethics as well as ethics of handling medical data (AHEP4 M7, M8, M10, M11). 

Review and critically evaluate the literature and current developments and challenges in biomedical engineering such as sensor biocompatibility, implantable and wearable devices, and early diagnostic technologies (AHEP4 M1, M2, M3). 

Identify and manage scientific and technical risks associated with Biomedical Engineering and its technological applications (AHEP4 M2, M9). 

Use cutting-edge hardware and software methods to create biomedical interfacing systems and to apply them to medical diagnostics, implantable and wearable devices, biomedical data analytics and therapeutic technologies (AHEP4 M2, M3, M5, M13, M15). 

PSBEDA - Biomedical Engineering with Data Analytics

The teaching and learning methods used are such that the levels specialisation of content increase as you progress through each module and the programme, with the modules each contributing to different elements of specialisation  covering all the range from the biology to the technology and finally to the data and its management. This progression will be guided by active researchers in Biomedical Engineering, from the Research Centre for Biomedical Engineering (RCBE), Institute of Sensors and Instrumentation in the Department of Engineering, culminating with an individual project containing an original piece of research conducted largely independently with appropriate academic supervision and, where appropriate, in collaboration with industrial partners.  
The standard format is that taught modules are delivered through a series of lectures and tutorials/laboratory sessions –the exact number of which will depend on the nature of the module, for instance, practical modules involving intensive programming will consist mainly of laboratory sessions, whereas modules which focus on theory will be delivered mostly through lectures.   
Lectures are normally used to: (a) present and exemplify the concepts underpinning a particular subject; (b) highlight the most significant aspects of the syllabus; and (c) indicate additional topics and resources for private study.  
Tutorials are used to help you develop skills in applying the concepts covered in the lectures, normally in practical problem-solving contexts.  
Laboratory sessions serve a similar purpose as the tutorials, but their purpose is to demonstrate application of concepts and techniques through the use of state-of-the-art laboratory instruments, software development tools and environments.  
Your learning will be supported by an online learning environment Moodle which will provide resources for independent learning, such as further reading, links to wider sources of information and resources for self-assessment. 
You are expected to undertake independent study and do substantial coursework assignments for each module, amounting approximately to 120 hours per module.  The research project/dissertation aims to provide you with the opportunity to deal with 
problems in areas where new perspectives and insightful ways of combining focal areas of specialised knowledge is required. This involves literature search, assessment of the relevance of previous work, the development of the research task, self- directed research, and the presentation of research results. Online and self-directed learning will be supported with appropriate resources, including documentation, experiments and exercises. Considerable time should be dedicated to develop software and hardware solutions that will lead to prototypes. 
In addition to lecture, laboratory and tutorial support, you will be assigned a personal tutor, and the programme is supported by City St George's Moodle learning environment, which will contain resources for each of the modules. This includes materials such as lecture notes and lab sheets, as well as interactive components, such as a discussion forum.

Curriculum Catalogue

Biomedical Engineering with Data Analytics - MSc

PSBEDA