This new three-year, part-time, online postgraduate programme leads to the degree of Masters of Science in Clinical Microbiology and Infectious Diseases (CMID).
Aimed at junior doctors currently undergoing, or about to undertake, specialty training in an infection discipline, this programme is open to trainees in the UK and worldwide.
This degree will also be attractive to those who have completed their training but wish to fulfill continuing medical education requirements or those who wish obtain a formal qualification in Clinical Microbiology and Infectious Diseases.
The programme is aligned with JRCPTB and RCPath training in infection disciplines: Combined Infection Training and Higher Specialty Training in Infectious Diseases, Medical Microbiology and Medical Virology.
This programme is designed to support trainees/specialists in preparation for FRCPath Part 1/Diploma in Infection, Infection Specialty end of training assessments and hospital-based practice.
Programme participants will have access to key texts and research bases and will have direct contact with leading clinicians and clinical scientists, providing a repository of information on infection disciplines that can be accessed at any time.
Our online learning technology is fully interactive, award-winning and enables you to communicate with our highly qualified teaching staff from the comfort of your own home or workplace.
Our online students not only have access to the University of Edinburgh’s excellent resources, but also become part of a supportive online community, bringing together students and tutors from around the world.
This programme is taught entirely online. The structure of the degree is designed to meet the needs of trainees and specialist practitioners from all over the world.
Courses are offered as five week courses, each worth 10 credits. Courses in Year 1 are compulsory. Year 2 is a mix of compulsory and optional modules.
Postgraduate Professional Development (PPD)
Postgraduate Professional Development (PPD) is aimed at working professionals who want to advance their knowledge through a postgraduate-level course(s), without the time or financial commitment of a full Masters, Postgraduate Diploma or Postgraduate Certificate.
You may take a maximum of 50 credits worth of courses over two years through our PPD scheme. These lead to a University of Edinburgh postgraduate award of academic credit. Alternatively, after one year of taking courses you can choose to transfer your credits and continue on to studying towards a higher award on a Masters, Postgraduate Diploma or Postgraduate Certificate programme. Although PPD courses have various start dates throughout a year you may only start a Masters, Postgraduate Diploma or Postgraduate Certificate programme in the month of September. Any time spent studying PPD will be deducted from the amount of time you will have left to complete a Masters, Postgraduate Diploma or Postgraduate Certificate programme.
Please contact the programme team for more information about available courses and course start dates.
The programme also offers the opportunity to take a Postgraduate Certificate (60 credits), either part-time over 9 months or on an intermittent basis over 2 years; or a Postgraduate Diploma (120 credits), either part-time over 21 months or on an intermittent basis over 4 years.
Please contact us before submitting an application if you are interested in applying to the Certificate or Diploma programme.
This unique programme will offer the student the knowledge and skills required to enhance their career progression in clinical or academic medicine. The programme will offer an alternative to traditional classroom based research training for those candidates who do not wish to take time away from their professional commitments.
The practice of medicine, especially in the disciplines of Pathology and Genetics is increasingly reliant on Genomic technology. The aim of this programme is to increase the knowledge and capability of scientific and clinical staff using genetic data in their daily work allowing them to engage confidently with the scientific concepts of Molecular Pathology and Genomic Medicine, and to use their skills to improve patient care. The programme could also provide a foundation for those students interested in developing a clinical academic career.
The University of Edinburgh is at the forefront of Genomic Technology. To adequately realise the potential of these technologies in a diagnostic setting this programme will cover the scientific underpinning and clinical application of genomic technology to enable clinicians and scientists to provide maximum benefit to patients.
The programme will provide a structured environment for students wishing to develop cutting edge knowledge and practical skills in Clinical Genomics and Molecular Pathology. The programme structure is designed around three central themes: scientific foundation, diagnostics, and patient management and treatment.
The PG Cert is comprised of four compulsory courses, totalling 60 credits.
Students will learn via a mixture of guided online activities, in-person tutorials, and in course four, an extended project. In addition to structured learning, students are expected to conduct independent study and read around the subject area.
Students will develop their critical analysis skills through evaluation of primary research articles and reviews. Students will learn how to perform variant analysis and next generation sequencing data analysis using relevant bioinformatics tools. Students can also expect to develop the communication skills required for interacting with the major stakeholders of genomic information: clinical scientists, doctors and patients.
Teaching is performed by a variety of staff who are leaders in their field, as well as experienced educators. The core teaching team is comprised of staff from the NHS Lothian Clinical Genetics Service and Pathology departments. Additional teaching is performed by clinical and scientific staff from across Edinburgh University and the UK. In addition, the programme has a dedicated teaching teaching fellow, who will provide academic and pastoral support throughout all courses.
Postgraduate Professional Development (PPD)
Aimed at working professionals who want to advance their knowledge through a postgraduate-level course(s), without the time or financial commitment of a full Postgraduate Certificate.
You may take a maximum of 50 credits worth of courses over two years through our PPD scheme. These lead to a University of Edinburgh postgraduate award of academic credit. Alternatively, after one year of taking courses you can choose to transfer your credits and continue on to studying towards a higher award on the Postgraduate Certificate programme. Any time spent studying PPD will be deducted from the amount of time you will have left to complete a Postgraduate Certificate programme.
The programme will adopt a blended learning format, with teaching delivered via online as a eLectures and interviews, in-person tutorials, and online interactive content.
Programme materials and resources will all be available in the virtual learning environment, Learn. Learn provides an interactive forum for students to engage with other learners and the programme teaching staff. Multiple feedback opportunities will be integrated within each course and will comprise of weekly interactive online quizzes, discussion boards and office hours. In-person tutorials will also represent an important feedback opportunity for students. Assessment will vary slightly with each course, common assessment modalities include structured written assignments, presentations and data analysis reports.
The programme is aimed primarily at NHS laboratory and clinical staff. It is designed for anyone wishing to expand their understanding of molecular pathology and how it applies to clinical diagnostics. The PG Cert will be of use to a wide range of individuals as it can be used to support FRC Path, Clinical Scientist Development and Genetic Technologist Registration. It can be used as a component of STP and could potentially contribute the first 60 credits of MSc. It will also provide the scientific underpinning for Genetic Counselling.
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.