Bioinformaticians are distinguished by their ability to formulate biologically relevant questions, design and implement the appropriate solution by managing and analysing high-throughput molecular biological and sequence data, and interpret the obtained results.
This interdisciplinary two-year programme focuses on acquiring
The 120-credit programme consists of a reorientation package (one semester), a common package (two semesters) and a thesis.
The Master of Bioinformatics is embedded in a strong bioinformatics research community in KU Leuven, who monthly meet at the Bioinformatics Interest Group. Bioinformatics research groups are spread over the Arenberg and Gasthuisberg campus and are located in the research departments of Microbial and Molecular Systems (M2S), Electrical Engineering (ESAT), Human Genetics, Microbiology and Immunology (REGA), Cellular and Molecular Medicine, Chemistry and Biology. Several of these bioinformatics research groups are also associated with the Flemish Institute for Biotechnology (VIB).
Are you a biochemist or molecular biologist with a keen interest in mathematics and programming? Are you a mathematician or statistician and want to apply your knowledge to complex biological questions? Do you want to develop new methods that can be used by doctors, biologists and biotechnology engineers? Then this is the right program for you!
Bioinformaticians find careers in the life sciences domain in the broadest sense: industry, the academic world, health care, etc. The expanding need for bioinformatics in biological and medical research ensures a large variety of job opportunities in fundamental and applied research. 60% of our graduates start a PhD after graduation.
Our Microbiome in Health & Disease MSc provides students with a unique background in all aspects of both analysis of microbiome and determining the role of microbiome in pathology with experience in both computational and experimental techniques.
Designed and delivered by the newly established Centre for Host-Microbiome Interactions (CHMI) at King’s, the course brings together teaching on a varied course incorporating systems biology and bioinformatics with molecular biology, microbiology, immunology and physiology.
In the post-human genome project world, our health is dependent on more than our genes. High throughput sequencing reveals the amazing complexity and extent of the microbial communities that reside within or upon us. We are also beginning to understand just how dynamic the interactions between the host and members of communities are. Interactions are diverse, and variations observed between individuals depend on a multitude of microbial and host factors, including diet and inflammatory status. More importantly, it is becoming clear that different disease states are linked to significant changes in the make-up of these communities. Scientists who understand the computational analysis of the huge data sets for microbial communities, and who are also able to interpret findings in the context of human and microbial health, will be in demand across this emerging field in academia and in industry.
The MSc Microbiome in Health & Disease will provide you with a deep understanding of microbial communities and their diversity, and the impact of these communities on host health and disease. You will be exposed to the concepts and techniques involved in profiling and analysing large omics data sets associated with characterising and investigating microbial communities.
You will learn to analyse omics data sets, such as genome, transcriptome, metabolome and metagenome data, and how to integrate these data to develop a holistic understanding of the interactions between host and microbial communities in both health and disease states.
You will also learn how these skills apply in industry and have the opportunity to undertake research in collaboration with industrial partners. You will study the intersection between microbiome and engineering and learn how to identify and develop innovative products in different microbiome fields, applying learning from computational, multiomics analysis and basic biology, through advanced synthetic biology tools, and integrative analysis and modelling, to design new engineered therapeutic microbial communities and optimize their effectiveness in clinical, agricultural and environmental challenges.
You will also undertake a 10,000 word supervised dissertation on a subject within the field of microbiome in health and disease.
The course aims to develop students' knowledge of the microbial communities that reside within or upon us, and how they impact our health and disease processes.
It is designed for students who wish to improve their background knowledge and skills prior to applying for a PhD studentship, and also for students who wish to enhance their knowledge and skill set for analysing and interpreting the large, multiple omics data sets that are involved in microbiome research.
The MSc Microbiome in Health & Disease consists of 4 taught modules (two covering microbiology, microbial diversity and host-microbiome interactions, and two covering computational analysis of microbiome, and systems and synthetic biology), followed by a lab-based research project. The taught component will run from September until January, with the research component running from February until August.
Teaching comprises conventional lectures, tutorials and computational workshops, supported by example sessions, project work and independent learning via reading material and online courses. During the computational modules, you will be provided with data sets to analyse for written and oral projects.
After completing the taught component, you will undertake a lab-based research project for which you will provide a proposal and subsequent dissertation and presentation under the guidance of a supervisor.
The typical hours you will spend as you progress through your studies are as follows:
Lectures, seminars & feedback: 214 hours
Self-study: 1586 hours
Contact time is based on 24 academic weeks and self-study time is based on 31 academic weeks.
Typically, one credit equates to 10 hours of work.
You may typically expect assessment by a combination of coursework (76%) and examinations (24%).
The study time and assessment methods detailed above are typical and give you a good indication of what to expect. However, they may change if the course modules change.
Research in the Division of Genetics and Genomics aims to advance understanding of complex animal systems and the development of improved predictive models through the application of numerical and computational approaches in the analysis, interpretation, modelling and prediction of complex animal systems from the level of the DNA and other molecules, through cellular and gene networks, tissues and organs to whole organisms and interacting populations of organisms.
The biology and traits of interest include: growth and development, body composition, feed efficiency, reproductive performance, responses to infectious disease and inherited diseases.
Research encompasses basic research in bioscience and mathematical biology and strategic research to address grand challenges, e.g. food security.
Research is focussed on, but not restricted to, target species of agricultural importance including cattle, pigs, poultry, sheep; farmed fish such as salmon; and companion animals. The availability of genome sequences and the associated genomics toolkits enable genetics research in these species.
Expertise includes genetics (molecular, quantitative), physiology (neuroendocrinology, immunology), ‘omics (genomics, functional genomics) with particular strengths in mathematical biology (quantitative genetics, epidemiology, bioinformatics, modelling).
The Division has 18 Group Leaders and 4 career track fellows who supervise over 30 postgraduate students.
Studentships are of 3 or 4 years duration and students will be expected to complete a novel piece of research which will advance our understanding of the field. To help them in this goal, students will be assigned a principal and assistant supervisor, both of whom will be active scientists at the Institute. Student progress is monitored in accordance with School Postgraduate (PG) regulations by a PhD thesis committee (which includes an independent external assessor and chair). There is also dedicated secretarial support to assist these committees and the students with regard to University and Institute matters.
All student matters are overseen by the Schools PG studies committee. The Roslin Institute also has a local PG committee and will provide advice and support to students when requested. An active staff:student liaison committee and a social committee, which is headed by our postgraduate liaison officer, provide additional support.
Students are expected to attend a number of generic training courses offered by the Transkills Programme of the University and to participate in regular seminars and laboratory progress meetings. All students will also be expected to present their data at national and international meetings throughout their period of study.
In 2011 The Roslin Institute moved to a new state-of-the-art building on the University of Edinburgh's veterinary campus at Easter Bush. Our facilities include: rodent, bird and livestock animal units and associated lab areas; comprehensive bioinformatic and genomic capability; a range of bioimaging facilities; extensive molecular biology and cell biology labs; café and auditorium where we regularly host workshops and invited speakers.
The University's genomics facility Edinburgh Genomics is closely associated with the Division of Genetics and Genomics and provides access to the latest genomics technologies, including next-generation sequencing, SNP genotyping and microarray platforms (genomics.ed.ac.uk).
In addition to the Edinburgh Compute and Data Facility’s high performance computing resources, The Roslin Institute has two compute farms, including one with 256 GB of RAM, which enable the analysis of complex ‘omics data sets.
Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study Applied Analytical Science (LCMS) at Swansea University - 'Welsh University of the Year 2017' (Times and Sunday Times Good University Guide 2017).
World demand for mass spectrometry and chromatography has grown at an unprecedented rate, with qualified graduates in short supply and highly sought after. Swansea is the only UK institution to offer a range of schemes solely dedicated to these topics, drawing upon expertise in the Institute of Mass Spectrometry (IMS), based at a long established UK centre of excellence. The MSc in Applied Analytical Science (LCMS) includes fundamentals of MS and chromatography with key industrial topics covering ‘-omics’, pharmaceutical, environmental and forensic analysis, data handling, professional management and good laboratory practice (GLP). The unique combination of industry participation and content on the Applied Analytical Science (LCMS) programme provides a vocationally-relevant qualification with invaluable training and experience sought in the UK and worldwide.
We are pleased to announce that the Royal Society of Chemistry (RSC) has accredited the “MSc in Applied Analytical Science (LCMS)” for satisfying the academic requirements of the award of CHARTERED CHEMIST (CChem) from 2015 and awarded to qualifying students. Accreditation of Postgraduate schemes have only recently been undertaken by the RSC and our scheme is one of the first to achieve accreditation.
Course content for the Applied Analytical Science (LCMS) programme is designed for the needs of industry: Essential topics such as fundamentals of mass spectrometry and separation science, professional management of laboratory practice, data analysis and method development plus industrially-current applications areas.
Extensive training in a research-led Institute: To improve their analytical science skills to professional levels required for the workplace.
Highly practical course and extensive in-house equipment: MSc students can experience more in-depth and ‘hands-on’ learning than most current analytical MSc programmes. Additional sessions including experiment design, health and safety, and laboratory skills are held in preparation of the research project, to ensure students are adequately equipped for project work.
Many taught modules encourage problem solving skills, involving relevant simulated (pre-existing) scenarios: To develop analytical thinking, professional and academic skills through advanced practical and theoretical studies and the submission of a scientifically defensible dissertation.
Participation of expert industrial guest lecturers: Unique opportunities to network with potential employers and enhanced employability prospects in highly skilled and relevant areas such as pharmaceuticals, agriculture, food and nutrition, homeland security, clinical diagnostics, veterinary and forensic science, environmental analysis, plus marketing and sales, to name a few.
Assessment that encourage transferrable skills essential for employment: Including case studies, presentations, problem sheets, data processing and informatics exercises in addition to the traditional examinations and essay based assignments.
Modules on the Applied Analytical Science (LCMS) programme typically include:
• Mass spectrometry – basics and fundamentals
• Separation science and sample handling
• Data analysis and method development
• Professional management and laboratory practice
• Environmental and forensic analysis
• Medical and life sciences
• Metabolomics, lipidomics and bioactive lipids
• Data analysis and method development
• Dissertation: MS experimental project