Cardiovascular diseases remain a major cause of death and ill health worldwide. This established MSc programme, taught by scientists and clinicians who are leaders in their field, offers students the opportunity to learn about topical areas in cardiovascular science, preparing them for further research or a career in industry.
Students will develop a detailed knowledge of molecular and cellular cardiovascular science, animal models of cardiovascular disease, microvascular biology and mechanisms by which the heart and vasculature function in health and disease, as well as laboratory and statistical methods. They will gain valuable research skills and an awareness of the ethical, legal and social aspects of developments in cardiovascular disease.
Students undertake modules to the value of 180 credits.
The programme consists of five core modules (90 credits), two optional modules (30 credits) and the research project (60 credits).
30 credits of optional modules drawn from the following:
Clinical Cardiology is an academic MSc module rather than a standard clinical placement. The emphasis is on appreciating the impact of advances in cardiovascular science upon clinical practice.
All MSc students undertake an independent research project which culminates in a dissertation of 10,000-12,000 words and an oral presentation (60 credits).
Teaching and learning
The programme is delivered through a combination of lectures, seminars, presentations, tutorials, journal clubs, a quiz, statistical and laboratory practicals and anatomical examination of human congenital heart disease specimens. Assessment is through written and oral examinations, coursework essays, case reports, journal club and other oral presentations and the dissertation.
Further information on modules and degree structure is available on the department website: Cardiovascular Science MSc
All graduates of this programme will be well placed for a PhD in this field and a career in research, and will have a sound basis for entry into the pharmaceutical industry.
Basic scientists may use the MSc as a stepping-stone to MBBS studies. The programme also provides an excellent training for related fields such as scientific journalism and in areas requiring critical appraisal of complex data.
Recent career destinations for this degree
In addition to the academic insight into cardiovascular science, this programme supports the development of a wide range of skills which students will use at work.
Oral and written communication skills are enhanced. Writing essays and the research project dissertation involves searching the literature, selection and interpretation of publications, and organisation of complex ideas into the final report.
Learning activities in the statistics module develop quantitative analytical skills.
Students undertake group and independent projects. They gain insight into research planning and time management. They are supported by a personal tutor and informed by careers events and UCL Careers.
Careers data is taken from the ‘Destinations of Leavers from Higher Education’ survey undertaken by HESA looking at the destinations of UK and EU students in the 2013–2015 graduating cohorts six months after graduation.
The UCL Institute of Cardiovascular Science brings together world-leading scientists and clinicians working in cardiovascular research to conduct innovative research for the prevention and treatment of diseases of the heart and circulation, and provide world-class teaching and training, and forward-thinking policy development.
UCL has one of the largest, most dynamic cardiovascular research bases in the UK. This interdisciplinary programme is taught in collaboration with UCLH, the Institute of Ophthalmology, the Institute of Child Health, Great Ormond Street Hospital and Barts Heart Centre, offering students access to a world-leading community at the forefront of cardiovascular research.
The Research Excellence Framework, or REF, is the system for assessing the quality of research in UK higher education institutions. The 2014 REF was carried out by the UK's higher education funding bodies, and the results used to allocate research funding from 2015/16.
The following REF score was awarded to the department: Institute of Cardiovascular Science
80% rated 4* (‘world-leading’) or 3* (‘internationally excellent’)
Learn more about the scope of UCL's research, and browse case studies, on our Research Impact website.
Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study Computer Modelling in Engineering at Swansea University - 'Welsh University of the Year 2017' (Times and Sunday Times Good University Guide 2017).
This MRes in Computer Modelling in Engineering programme consists of two streams: students may choose to specialise in either structures or fluids. The taught modules provide a good grounding in computer modelling and in the finite element method, in particular.
Computer simulation is now an established discipline that has an important role to play in engineering, science and in newly emerging areas of interdisciplinary research.
Using mathematical modelling as the basis, computational methods provide procedures which, with the aid of the computer, allow complex problems to be solved. The techniques play an ever-increasing role in industry and there is further emphasis to apply the methodology to other important areas such as medicine and the life sciences.
The Zienkiewicz Centre for Computational Engineering, within which this course is run, has excellent computing facilities, including a state-of-the-art multi-processor super computer with virtual reality facilities and high-speed networking.
This Computer Modelling in Engineering course is suitable for those who are interested in gaining a solid understanding of computer modelling, specialising in either structures or fluids, and taking the skills gained through this course to develop their career in industry or research.
If you would like to qualify as a Chartered Engineer, this course is accredited with providing the additional educational components for the further learning needed to qualify as a Chartered Engineer, as set out by UK and European engineering professional institutions.
Modules on the Computer Modelling in Engineering programme typically include:
• Finite Element and Computational Analysis
• Numerical Methods for Partial Differential Equations
• Solid Mechanics
• Advanced Fluid Mechanics
• Dynamics and Transient Analysis
• Communication Skills for Research Engineers
• MRes Research Project
The MRes Computer Modelling in Engineering course is accredited by the Joint Board of Moderators (JBM).
The Joint Board of Moderators (JBM) is composed of the Institution of Civil Engineers (ICE), the Institution of Structural Engineers (IStructE), the Chartered Institution of Highways and Transportation (CIHT), and the Institute of Highway Engineers (IHE).
The MRes Computer Modelling in Engineering degree is accredited as meeting the requirements for Further Learning for a Chartered Engineer (CEng) for candidates who have already acquired an Accredited CEng (Partial) BEng(Hons) or an Accredited IEng (Full) BEng/BSc (Hons) undergraduate first degree.
The MRes Computer Modelling in Engineering degree has been accredited by the JBM under licence from the UK regulator, the Engineering Council.
Accreditation is a mark of assurance that the degree meets the standards set by the Engineering Council in the UK Standard for Professional Engineering Competence (UK-SPEC). An accredited degree will provide you with some or all of the underpinning knowledge, understanding and skills for eventual registration as an Incorporated (IEng) or Chartered Engineer (CEng). Some employers recruit preferentially from accredited degrees, and an accredited degree is likely to be recognised by other countries that are signatories to international accords.
The Civil and Computational Engineering Centre has an extensive track record of industrial collaboration and contributes to many exciting projects, including the aerodynamics for the current World Land Speed Record car, Thrust SSC, and the future BLOODHOUND SSC, and the design of the double-decker super-jet Airbus A380.
Examples of recent collaborators and sponsoring agencies include: ABB, Audi, BAE Systems, British Gas, Cinpress, DERA, Dti, EADS, EPSRC, European Union, HEFCW, HSE, Hyder, Mobil, NASA, Quinshield, Rolls-Royce, South West Water, Sumitomo Shell, Unilever, US Army, WDA.
“I was attracted to the MRes course at Swansea as the subject matter was just what I was looking for.
I previously worked as a Cardiovascular Research Assistant at the Murdoch Children’s Research Institute in Melbourne. My employer, the Head of the Cardiology Department, encouraged me to develop skills in modelling as this has a lot of potential to help answer some current questions and controversies in the field. I was looking for a Master’s level course that could provide me with computational modelling skills that I could apply to blood flow problems, particularly those arising from congenital heart disease.
The College of Engineering at Swansea is certainly a good choice. In the computational modelling area, it is one of the leading centres in the world (they wrote the textbook, literally). A lot of people I knew in Swansea initially came to study for a couple of years, but then ended up never leaving. I can see how that could happen.”
Jonathan Mynard, MRes Computer Modelling in Engineering, then PhD at the University of Melbourne, currently post-doctoral fellow at the Biomedical Simulation Laboratory, University of Toronto, Canada
Employment in a wide range of industries, which require the skills developed during the Computer Modelling in Engineering course, from aerospace to the medical sector. Computational modelling techniques have developed in importance to provide solutions to complex problems and as a graduate of this course, you will be able to utilise your highly sought-after skills in industry or research.
The Research Excellence Framework (REF) 2014 ranks Engineering at Swansea as 10th in the UK for the combined score in research quality across the Engineering disciplines.
The REF shows that 94% of research produced by our academic staff is of World-Leading (4*) or Internationally Excellent (3*) quality. This has increased from 73% in the 2008 RAE.
Research pioneered at the College of Engineering harnesses the expertise of academic staff within the department. This ground-breaking multidisciplinary research informs our world-class teaching with several of our staff leaders in their fields.
Highlights of the Engineering results according to the General Engineering Unit of Assessment:
Research Environment at Swansea ranked 2nd in the UK
Research Impact ranked 10th in the UK
Research Power (3*/4* Equivalent staff) ranked 10th in the UK
The science of epidemiology underpins public health policy, dental science and health services research, and employs a large number of researchers around the world.
Biostatistics is the science of collecting, analysing, presenting and drawing inferences from data for research in medicine and health. Understanding of context is vitally important as methods developed in one area of statistics can be misleading when unthinkingly applied elsewhere.
The MSc in Epidemiology and Biostatistics has been developed to meet the growing need for the research community to possess excellence in biostatistical analysis, especially for the analysis of observational data.
You’ll learn a wide range of contemporary statistical methods and, most importantly, when and where they should be applied.
Graduates of this course have a wide range of career options, and are in demand in universities, government, national health services, non-government organisations and industry.
You'll be part of a world-renowned School and will be taught by internationally recognised scholars.
You can also study this programme part time over 24 months.
You’ll study modules totalling 180 credits. If you study this programme part time you will study fewer modules in each year.
You’ll take common core (compulsory) modules, including our innovative Professional Spine module, designed to give you the skills and experience to work effectively in research, public health or health services research. It includes, for example, ethics, academic writing for publication, consultancy, management and leadership skills.
You focus on one of these specialist themes, selecting up to three modules within it:
Statistical Epidemiology – you specialise in the advanced statistical methods that play a crucial part in modern epidemiological research. This includes latent variable methods (allowing models to vary across different subgroups of the patient population and multilevel techniques) taking into account the complex hierarchy of patients treated by clinical teams within hospitals.
Non-communicable Disease Epidemiology – you specialise in the epidemiology of diseases such as coronary heart disease, diabetes, cancer and congenital anomalies that are a leading cause of death worldwide. As well as understanding the biology, causes and trends of these diseases, you will also explore exposures (such as diet, chemicals, radiation, toxicology and lifestyle factors) including measurement, validation and study design.
The programme culminates in your research project, supervised by leading researchers in their field. In collaboration with the teaching team, you’ll choose, design, conduct and write your research project, tailored to your chosen specialism. You, can design a project yourself or can choose from a range designed by the supervisors.
The final outcome will be to write up a paper, suitable for journal publication. We’ll encourage you to submit the article, using our experience and reputation to help you.
We blend face-to-face teaching with technology to enhance your learning experience. Self-directed online learning lets you study at a pace that suits you, whilst face-to-face support allows you to explore individual areas of difficulty and extend your understanding.
You’re likely to experience:
We understand the importance of assessment and feedback in your learning. We provide assessment in as many modules as possible so that you can gauge your understanding of the key concepts.
You’ll get feedback in a variety of ways: through informal discussion with tutors, written feedback from formative assessments, marks obtained in both formative and summative assessments and peer-review from presenting projects and data.
Each module contains a summative assessment component (a more formal evaluation). Some of these will be done via continuous in-course assessment, and some as end-of-module assessment.
Our assessment and feedback will use a number of methods: