Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study Life Science and Healthcare Enterprise at Swansea University - 'Welsh University of the Year 2017' (Times and Sunday Times Good University Guide 2017).
The Masters of Research in Life Science and Healthcare Enterprise is a taught research programme portfolio designed to give Health Professionals, Life Scientists, Biomedical Scientists, Medics and Academics the opportunity to conduct masters-level research in a supported environment, with relevant training and application to Life Science-related expert witnesses from Industry and Academia through the provision of a series of master-classes.
We combine a multidisciplinary approach of industrial collaboration and integrated and innovative teaching that promises to bring significant advances in the development of leaders of research and innovation in the Life Science sector:
- The opportunity to specialise in to five different areas of Medical Manufacturing, Medical Technology and Pharmaceutical and -Regenerative Medicine with supervision by experienced academics, leading researchers in the field and experts at the forefront of the life sciences industry
- Develop research skills by working with an interdisciplinary research team
- Comprehend, design and implement business models across life science enterprise and innovation
- Engage with clinicians through new and established links with local hospitals and NHS Health Boards.
Each programme within the Life Science and Healthcare Enterprise portfolio consists of two Phases:
• Phase 1 (October – January): 3 taught modules (compulsory modules) totaling 60 credits, which can lead to the award of a Postgraduate Certificate in Life Science and Healthcare Enterprise
• Phase 2 (February – September): an 8 month research project. At the end of this phase, you will submit a 40,000-words thesis worth 120 credits leading to the award of the MRes in Life Science Healthcare Enterprise
The Life Science and Healthcare Enterprise programme ethos is eclectic, innovative and novel in respect to developing you to be ready for the world of business within the Life Science sector. You will be immersed in and exposed to a learning environment with an open, innovative, global multidisciplinary culture.
By the end of the Life Science and Healthcare Enterprise programme, you will be prepared to be entrepreneurs or a senior employee within large and small business, and capable of leading change to a more entrepreneurial and innovative culture.
During the taught element of this Master's programme in Life Science and Healthcare Enterprise, students are required to attend for 1 week (5 consecutive days) teaching block, followed by 1 week of independent study (i.e. no formal teaching sessions) for the generation of a white paper and ending in the Presentation, Defence and Assessment period in Week 3 for each module.
Attendance during Part Two is negotiated with the supervisor. You are also encouraged to attend the Postgraduate Taught Induction Event during the induction week and any programme associated seminars.
The cell is the building block of life, the smallest unit with the molecular characteristics of living systems. Increased knowledge of the mechanisms of the biomolecular and biochemical processes in the cell can lead to better medicines, new methods for combating diseases.
The basis of the two-year master’s programme in Life Science and Technology is formed by research carried out in the life sciences and chemistry groups of the Leiden Institute of Chemistry (LIC). Researchers take a science-based approach in finding tailored solutions for complex societal problems as encountered in personalized medicine, systems biology and sustainable use of biological sources. Starting from day one, and during the whole master programme you are a member of a research team in the LIC. Guided by a personal mentor, the student assembles a tailor-made educational programme for optimal training to become a life sciences professional.
Read more about our Life Science and Technology programme.
Find more reasons to study Life Science and Technology at Leiden University.
If you are interested in Life Science and you are looking for a programme with ample of opportunities to assemble your own study path, our Life Science and Technology programme is the right choice. The programme addresses societal problems on a molecular and cellular level. You can also choose a specialisation where you combine one year of Life Science and Technology research with one year of training in business, communication or education.
Read more about the entry requirements for Life Science and Technology.
Life Sciences is one of the strategic research fields at the University of Helsinki. The multidisciplinary Master’s Programme in Life Science Informatics (LSI) integrates research excellence and research infrastructures in the Helsinki Institute of Life Sciences (HiLIFE).
The Master's Programme is offered by the Faculty of Science. Teaching is offered in co-operation with the Faculty of Medicine and the Faculty of Biological and Environmental Sciences. As a student, you will gain access to active research communities on three campuses: Kumpula, Viikki, and Meilahti. The unique combination of study opportunities tailored from the offering of the three campuses provides an attractive educational profile. The LSI programme is designed for students with a background in mathematics, computer science and statistics, as well as for students with these disciplines as a minor in their bachelor’s degree, with their major being, for example, ecology, evolutionary biology or genetics. As a graduate of the LSI programme you will:
Further information about the studies on the Master's programme website.
The Life Science Informatics Master’s Programme has six specialisation areas, each anchored in its own research group or groups.
Algorithmic bioinformatics with the Genome-scale algorithmics, Combinatorial Pattern Matching, and Practical Algorithms and Data Structures on Strings research groups. This specialisation area educates you to be an algorithm expert who can turn biological questions into appropriate challenges for computational data analysis. In addition to the tailored algorithm studies for analysing molecular biology measurement data, the curriculum includes general algorithm and machine learning studies offered by the Master's Programmes in Computer Science and Data Science.
Applied bioinformatics, jointly with The Institute of Biotechnology and genetics.Bioinformatics has become an integral part of biological research, where innovative computational approaches are often required to achieve high-impact findings in an increasingly data-dense environment. Studies in applied bioinformatics prepare you for a post as a bioinformatics expert in a genomics research lab, working with processing, analysing and interpreting Next-Generation Sequencing (NGS) data, and working with integrated analysis of genomic and other biological data, and population genetics.
Biomathematics with the Biomathematics research group, focusing on mathematical modelling and analysis of biological phenomena and processes. The research covers a wide spectrum of topics ranging from problems at the molecular level to the structure of populations. To tackle these problems, the research group uses a variety of modelling approaches, most importantly ordinary and partial differential equations, integral equations and stochastic processes. A successful analysis of the models requires the study of pure research in, for instance, the theory of infinite dimensional dynamical systems; such research is also carried out by the group.
Biostatistics and bioinformatics is offered jointly by the statistics curriculum, the Master´s Programme in Mathematics and Statistics and the research groups Statistical and Translational Genetics, Computational Genomics and Computational Systems Medicine in FIMM. Topics and themes include statistical, especially Bayesian methodologies for the life sciences, with research focusing on modelling and analysis of biological phenomena and processes. The research covers a wide spectrum of collaborative topics in various biomedical disciplines. In particular, research and teaching address questions of population genetics, phylogenetic inference, genome-wide association studies and epidemiology of complex diseases.
Eco-evolutionary Informatics with ecology and evolutionary biology, in which several researchers and teachers have a background in mathematics, statistics and computer science. Ecology studies the distribution and abundance of species, and their interactions with other species and the environment. Evolutionary biology studies processes supporting biodiversity on different levels from genes to populations and ecosystems. These sciences have a key role in responding to global environmental challenges. Mathematical and statistical modelling, computer science and bioinformatics have an important role in research and teaching.
Systems biology and medicine with the Genome-scale Biology Research Program in Biomedicum. The focus is to understand and find effective means to overcome drug resistance in cancers. The approach is to use systems biology, i.e., integration of large and complex molecular and clinical data (big data) from cancer patients with computational methods and wet lab experiments, to identify efficient patient-specific therapeutic targets. Particular interest is focused on developing and applying machine learning based methods that enable integration of various types of molecular data (DNA, RNA, proteomics, etc.) to clinical information.
Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study Medicine and Life Sciences at Swansea University - 'Welsh University of the Year 2017' (Times and Sunday Times Good University Guide 2017).
The MRes in Medicine and Life Sciences is a one year full time programme, which provides an ideal opportunity and environment in which to gain practical training in Research Methods and to join a thriving research team within Swansea University College of Medicine. The Medicine and Life Sciences course has been developed with an emphasis on providing students with a research-oriented approach to their learning. Students are able to tailor their studies towards a career in one of the College’s internationally recognised research themes:
– Biomarkers and Genes,
– Microbes and Immunity,
– Patient & Population Health and Informatics.
The Medicine and Life Sciences programme is committed to supporting the development of evidence within the areas of Health, Medicine and Life Science through the training of researchers whose findings will directly inform their own understanding and that of others. The ethos of this programme is to produce graduates with the research skill and knowledge to become effective researchers, who will contribute to the body of knowledge within their chosen area of interest that will have an impact upon the health and well-being of all.
- The advantage of a MRes over other formats is that it provides a structured yet in-depth approach, taking the taught component of FHEQ Level 7 teaching as a framework for conducting research on the candidates own practice.
- Innovative and integrated curriculum that reflects the various aspects of the research process.
- Multidisciplinary teaching team with vast experience and expertise in conducting high quality research.
- Research informed teaching.
- Teaching is supported by online learning and support.
-Flexibility for you to gain specialist knowledge.
- A one year full-time taught masters programme designed to develop the essential skills and knowledge required for a successful research career.
- This course is also available for two years part-time study.
- The opportunity to conduct an individual research project with an interdisciplinary team within a supportive environment.
- Students will be assigned a research-active supervisory team
The aim of the MRes in Medicine and Life Sciences is to provide students with a broad research training to prepare them for a research career in Medical and Life Science research with emphasis on: Biomarkers & Genes, Devices, Microbes & Immunity, and Patient & Population Health and Informatics. The course has been developed to enable graduates to pursue a variety of research careers in Medical and Life Sciences. The programme comprises both taught and research elements.
By the end of the Medicine and Life Sciences programme students will have:
Developed necessary skills to critically interpret and evaluate research evidence; Gained experience the in analysis and interpretation of research data; Advanced knowledge at the forefront of Medical and Life Science research, with the ability to integrate the theoretical and practical elements of research training; Developed the ability to conceptualise, design and implement a research project for the generation of new evidence that informs Health, Medicine and Life Science; Developed practical research skills by working with an interdisciplinary research team; The ability to confidently communicate research ideas and conclusions clearly and effectively to specialist and non-specialist audiences; Acquired transferable skills which enhance your employability and future research career.
Modules on the Medicine and Life Sciences course may include:
PMRM01 Critical Appraisal and Evaluation
PMRM02 Data Analysis for Health and Medical Sciences
PMRM03 Research Leadership and Project Management OR any topic specific FHEQ Level 7 module from the College of Medicine ’s portfolio
Mode of delivery:
The 60 credits of the taught element will be delivered face-to-face, combining formal lecturing, seminars, and group work in addition to tutor-led practical classes. The remaining 120 credits for the research element will be available as distance learning either off or on-site. Irrespective of the location for conducting the research project, students will supported through monthly online (Skype)/or face-to-face supervisory meetings.
Students must complete 3 modules of 20 credits each and produce a 120 credits thesis on a research project aligned to one the College’s research theme. Each taught module of the programme requires a short period of attendance that is augmented by preparatory and reflective material supplied via the course website before and after attendance.
The Medicine and Life Sciences programme is designed in two phases:
Phase 1 – Training and Application (October – January; 60 credits)
Taught modules in Research Methods and their application to Medicine and Life Science. Personalised education and training relevant to student’s research interests. Identification of research questions and how they might be addressed.Focused on students existing knowledge and research skills.
Phase 2 – Research Project (February – September; 120 credits)
The project is selected by the student in combination with an academic supervisory team. Focussed on one of the College’s four main research themes: Biomarkers and Genes, Devices, Microbes and Immunity, and Patient & Population Health and Informatics. At the end of Part 2 students submit a 40,000 word thesis worth 120 credits leading to the award of Master of Research in Medicine and Life Science.
Students are required to attend the University for 1 week (5 consecutive days) for each module in Phase One. Attendance during Phase Two is negotiated with the supervisor.
You are also encouraged to attend the Postgraduate Taught Induction Event during the induction week and any programme associated seminars, together with Postgraduate research events.
This two-year master’s programme Computer Science offers stimulating, significant and innovative research at an internationally renowned institute and combines theoretical, experimental and applied approaches.
The two-year master’s programme in Computer Science offers six specialisations which combine excellent theoretical teaching with possibilities for applied work with industrial relevance. This is achieved by intensive collaboration with companies at the Leiden Centre of Data Science. Course themes include topics such as Evolutionary Algorithms, Neural Networks, Databases and Data Mining, Swarm-Based Computation, Bayesian Networks, Multimedia Systems, Embedded Systems and Software, Advanced Compilers and Architectures, Bio-Modeling and Petri Nets.
Read more about our Computer Science programme.
Find more reasons to choose Computer Science at Leiden University.
The programme is open for students with an internationally recognized bachelor’s degree in computer science or equivalent. You will be trained as an independent researcher, equipped with the necessary skills to advance your career as a computer scientist.
Read more about the entry requirements for Computer Science.
Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study Medical and Health Care Studies at Swansea University - 'Welsh University of the Year 2017' (Times and Sunday Times Good University Guide 2017).
The research and innovation arm of Swansea University’s Medical School is the Institute of Life Science (ILS). The vision for ILS is to advance medical science through interdisciplinary research and innovation to improve the health wealth and well-being of the people of Wales and beyond.
The Institute of Life Science
- is a unique example of successful collaboration between the NHS, academia and industry in the life science and health sector.
- enjoys close links with the Colleges of Engineering and Science especially through the Centre for NanoHealth.
- is Wales’ premier purpose-built medical research facility.
- is a collaboration between Swansea University and the Welsh Government, together with Abertawe Bro Morgannwg University Health Board, and industry and business partners.
Our research within Medical and Healthcare Studies focuses around four themes:
Biomarkers and Genes
Devices, Microbes and Immunity
Patient and Population Health
Thanks to the interdisciplinary ethos of the Institute of Life Science, researchers dedicated to four theme areas work together seamlessly on complex medical problems that have both biological and social impacts. Candidates for the Medical and Health Care Studies programme are asked to nominate their preferred research area.
The two-year master’s programme Statistical Science for the Life and Behavioural Sciences provides you with a thorough introduction to the general philosophy and methodology of statistical modelling, data analysis and data science.
The two-year master’s programme in Statistical Science provides you with a thorough introduction to the general philosophy and methodology of statistical modelling and data analysis. The programme consists of a core programme shared by all students, and specialisation specific courses, electives, an internship or research project and master’s thesis. You can specialise in either life and behavioural sciences, where the emphasis is on the application in multidisciplinary environments, or in data sciences where you focus more on data mining, pattern recognition and deep learning.
Read more about the Statistical Science for the Life and Behavioural Sciences programme.
Find more reasons to choose Statistical Science for the Life and Behavioural Sciencese at Leiden University.
The field of statistics, like other areas of applied mathematics, often attracts students who are interested in the analysis of patterns in data: developing, understanding, abstracting, and packaging analytical methods for general use in other subject areas. Statistics is also, by definition, an information science. Imaginative use of both computing power and new computing environments drives much current research - so an interest in computation and/or computer science can also be a start for a statistician. With the growing importance of data within our society, you’ll be highly in demand with a degree in Statistical Sciences.
Read more about the entry requirements for the Statistical Science programme.
Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study Computer Science at Swansea University - 'Welsh University of the Year 2017' (Times and Sunday Times Good University Guide 2017).
The MSc in Computer Science course is for you if you are a graduate from one of a wide range of disciplines and are looking to change direction or because of the needs of your chosen career, require a solid foundation in Computer Science.
As the use of computers and computer based systems continues to grow in all aspects of life, at home and at work, it is apparent that there will be for years to come a need for many people who can combine a knowledge of Computer Science, the discipline that underlies Information Technology, and degree level knowledge in a wide variety of other disciplines.
Over the duration of the MSc Computer Science course you will study a variety of modules taught by academic staff that are part of internationally renowned research groups. The course is also regularly updated to ensure that it keeps pace with the rapid developments in Computer Science.
• We are top in the UK for career prospects*
• We are 3rd in the UK for teaching quality**
• 5th in the UK overall*
• 7th in the UK for student satisfaction with 98% [National Student Survey 2016]
• 7th in the UK overall and Top in Wales*
• High employability prospects - we are 8th in the UK for graduate prospects*
• 92% in graduate employment or further study six months after leaving University [HESA data 2014/15]
• UK TOP 20 for Research Excellence [Research Excellence Framework 2014]
• Our Project Fair allows students to present their work to local industry
• Strong links with industry
• £31m Computational Foundry for computer and mathematical sciences will provide the most up-to-date and high quality teaching facilities featuring world-leading experimental set-ups, devices and prototypes to accelerate innovation and ensure students will be ready for exciting and successful careers. (From September 2018)
*Guardian University Guide 2017
**Times & Sunday Times University Guide 2016
Modules for the MSc in Computer Science include Computer Science Project Research Methods but please visit our course page for more information.
The Department of Computer Science is well equipped for teaching, and is continually upgrading its laboratories to ensure equipment is up-to-date – equipment is never more than three years old, and rarely more than two. Currently, our Computer Science students use three fully networked laboratories: one, running Windows; another running Linux; and a project laboratory, containing specialised equipment. These laboratories support a wide range of software, including the programming languages Java, C# and the .net framework, C, C++, Haskell and Prolog among many; integrated programme development environments such as Visual Studio and Netbeans; the widely-used Microsoft Office package; web access tools; and many special purpose software tools including graphical rendering and image manipulation tools; expert system production tools; concurrent system modelling tools; World Wide Web authoring tools; and databases.
As part of the expansion of the Department of Computer Science, we are building the Computational Foundry on our Bay Campus for computer science and mathematical science.
All Computer Science courses will provide you the transferable skills and knowledge to help you take advantage of the excellent employment and career development prospects in an ever growing and changing computing and ICT industry.
94% of our Postgraduate Taught Graduates of Computer Science were in professional level work or study [DLHE 14/15].
“I chose the MSc Computer Science as a conversion from my previous War and Society degree, primarily employment opportunities. The course was by no means easy for me coming from an arts background, and the first few weeks I felt a little over my head, but thanks to the truly stimulating content from the syllabus and the high quality of the teaching within the department I soon caught up and began to thrive on the course. My project revolved around a comparative study of the Haskell Web-Framework Yesod and ASP.NET. During the completion of this I picked up many of the skills that I now use on an everyday basis in my role at Kinspeed (A Sheffield based Software House). Since starting work I have been able to apply many of the skills I obtained during my time at Swansea and have no doubt that choosing to study the MSc Computer Science at Swansea was one of the better decisions of my life.”
The results of the Research Excellence Framework (REF) 2014 show that Swansea Computer Science ranked 11th in the UK for percentage of world-leading research, and 1st in Wales for research excellence. 40% of our submitted research assessed as world-leading quality (4*).