*Please note this course is subject to review.
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This module is concerned with the development of advanced clinical knowledge and practical skills required for specialist clinical practice. It also aims to further develop the practitioner’s clinical decision-making and critical analytical skills.
This module equips students with the advanced knowledge of echocardiography required for current clinical practice.
This module aims to develop skills in the planning and execution of an analytical study and in the critical evaluation of real research results, drawing on knowledge acquired from other modules. In addition, the module will develop student’s communication skills to enable them to communicate their findings both in written and oral form.
The purpose of this module is to provide students with an understanding of, and the tools to apply current theories and approaches to leadership and management in order to enable them to effect positive change in a team or organisation that they lead or manage.
The purpose of this module is to provide insight into a range of ethical and legal issues that relate to professional practice, research with human and animal subjects and to human reproduction — particularly various forms of reproductive technology. It will equip students with a broad overview of the relevant current UK ethical and legal regulations for research using human tissues. The ethical issues present in the rapidly developing area of genetic technology, including genetic testing and selection, genetic engineering, and the concept of genetic disease, will also be explored. By applying theoretical considerations to practice, the module will then explore ways in which, ethical and legal issues can be critically analysed and addressed.
This module aims to provide students with the tools required to design effective and efficient experiments and to test scientific hypotheses. The module will also equip students with the tools necessary for statistical analysis in a hypothesis testing context.
This module aims to provide students with a specialised body of current knowledge in the field of medical diagnostics and the differing forms of imaging used in modern cardiology.
The student will gain confidence in the interpretation of diagnostic information and become familiar with specialised and advanced modalities, from simple angiography to cardiac magnetic resonance imaging (MRI). The module will lead students towards a greater understanding of both old and new methods for diagnosing cardiac disease.
See the course specification for more information:
Optional modules are usually available at levels 5 and 6, although optional modules are not offered on every course. Where optional modules are available, you will be asked to make your choice during the previous academic year. If we have insufficient numbers of students interested in an optional module, or there are staffing changes which affect the teaching, it may not be offered. If an optional module will not run, we will advise you after the module selection period when numbers are confirmed, or at the earliest time that the programme team make the decision not to run the module, and help you choose an alternative module.
We are regularly reviewing and updating our programmes to ensure you have the best learning experience. We are taking what we've learnt during the pandemic and enhancing our teaching methods with new and innovative ways of learning. Please regularly check this section of the course page for updates.
This programme will be delivered in a blended learning format using live interactive teaching sessions via a number of learning platforms such as Kaltura, newrow, Adobe Connect or Zoom. These sessions will be recorded so that you can return to this learning in your own time and study at your own place. Learning may be supplemented by pre-recorded lectures, demonstration of laboratory techniques or data analysis activity where you can access the information at any point. Practical sessions will either be virtual or via tool kits delivered to your home. This wide range of teaching and learning approaches are used to build up your skills and knowledge
Where the situation permits, there may be scheduled face to face activities where you may come to campus or another venue for your sessions. This will clearly be communicated to you beforehand. We are committed to equipping and accommodating learners fully online where they cannot reach campus, and where a second lockdown is in place. In such event, the fully online scenario will be in place to provide and support your learning.
We have developed new approaches to teaching and learning for the 2021/22 academic year, and have resumed the majority of our teaching on campus.
We are currently reviewing our approach to teaching and learning for 2022 entry and beyond. We've learned a lot about how to give you a quality education - we aim to combine the best of our pre-pandemic teaching and learning with access to online learning and digital resources which put you more in charge of when and how you study. We will keep you updated on this throughout the application process.
Your timetable will be built around on campus sessions using our professional facilities, with online sessions for some activities where we know being virtual will add value. We’ll use technology to enhance all of your learning and give you access to online resources to use in your own time.
The table below gives you an idea of what learning looks like across a typical week. Some weeks are different due to how we schedule classes and arrange on campus sessions.
This information is likely to change slightly for 2022 entry as our plans evolve. You'll receive full information on your teaching before you start your course.
Learning structure: typical hourly breakdown in 2021/22
Live in-person on campus learning
Contact hours per week, per level:
Live online learning
Average hours per week, per level:
Tutor set learning activities
Average hours per week, per level:
Outside of these hours, you’ll be expected to do independent study where you read, listen and reflect on other learning activities. This can include preparation for future classes. In a year, you’ll typically be expected to commit 1200 hours to your course across all styles of learning. If you are taking a placement, you might have some additional hours.
Definitions of terms
You have a strong support network available to you to make sure you develop all the necessary academic skills you need to do well on your course.
Our support services will be delivered online and on campus and you have access to a range of different resources so you can get the help you need, whether you’re studying at home or have the opportunity to come to campus.
You have access to one to one and group sessions for personal learning and academic support from our library and IT teams, and our network of learning experts. Our teams will also be here to offer financial advice, and personal wellbeing, mental health and disability support.
Professor Bayford has many years experience of teaching signal and imaging processing to undergraduate and postgraduate levels. His research interests include development of new multimodality instrumentation for Nanoparticles imaging and therapy, Deep Brain Stimulation, and Tele-medical systems.
We’ll carefully manage any future changes to courses, or the support and other services available to you, if these are necessary because of things like changes to government health and safety advice, or any changes to the law.
Any decisions will be taken in line with both external advice and the University’s Regulations which include information on this.
Our priority will always be to maintain academic standards and quality so that your learning outcomes are not affected by any adjustments that we may have to make.
At all times we’ll aim to keep you well informed of how we may need to respond to changing circumstances, and about support that we’ll provide to you.
Start: October 2022
Duration: 1 year full-time, 2 years part-time
Start: October 2022, September 2022 (EU/INT induction)
Duration: 1 year full-time, 2 years part-time