The first of its kind in the UK, this MSc is highly regarded by employers for its real-world relevance and applied content. The course aims to develop advanced theoretical knowledge and computational skills and apply them to help solve real-life biological problems. This MSc is recognised by the BBSRC.
This course aims to equip graduate scientists with the computational skills and awareness needed to archive, analyse and interpret the vast amounts of biological data now becoming available. On completion of this course, you will be able to apply information technology to the development of new drugs and diagnostic tools.
Additionally, you will gain the skills to design and implement new tools and software plugins to fulfil the need of the research community, and will be equipped with a diverse set of knowledge and skills that directly meet the requirements of employers in this sector.
This new and fast-growing field requires forward-thinking people who understand both the biological and computing aspects of this science – this MSc has been specifically designed to produce graduates of this nature.
Our students come from the UK and a combination of European and International countries. You will therefore experience working closely with people from different cultures and backgrounds – essential skills for your future career.
Class sizes are kept relatively small to help create an interactive environment and to ensure each student receives excellent support from our academic team.
The taught programme is generally delivered from October until March and is comprised of eight compulsory taught modules, a group project and an individual thesis project. Students on the part-time programme will complete all of the compulsory modules based on a flexible schedule that will be agreed with the Course Director.
Working in project teams is part of everyday working life. It requires not only your individual expertise but also an appreciation of the skills of the other members of the team. This part of the course gives you the opportunity of working as part of a team on a group project. This is an invaluable experience that will help you to recognise and implement the differing contributions that colleagues bring to team work, and the different roles that we can choose to play within a team.
A four-month thesis project carried out either at Cranfield or an external research establishment or commercial organisation within the UK or Europe. This gives you the chance to concentrate on a subject area of particular interest to you, perhaps in collaboration with the type of organisation that you are hoping to find employment with.
Our MSc students finalise their hands-on study practice with individual thesis projects that solve problems in multidisciplinary areas whilst working under academic supervision. Some recent projects include:
This project by Ernest Diez (2013-2014) is focused on creating PhyTB - an application for the interactive study of variation in M.tuberculosis using data from the PhyloTrack library.
This project by MSc student Rafal Kural (2014-2015) is focused on the application of machine learning methods to unravel hidden patterns of meat samples using Fourier Transform Spectrometry, Gas Chromatography Mass Spectrometry, High Performance Liquid Chromatography and VideometerLab. Over the course of this work it has been proven that it is certainly possible to obtain very accurate detection of meat adulteration, reaching sample adulteration level prediction accuracy of 100% for GCMS and 90-97% for FTIR and VM data.
Taught Modules 40%, Group Project 20%, Individual Research Project 40%
To help students in finding and securing appropriate funding we have created a funding finder where you can search for suitable sources of funding by filtering the results to suit your needs. Visit the funding finder.
The Cranfield ScholarshipWe have a limited number of scholarships available for candidates from around the world applying for the 2017 intake. Scholarships are awarded to applicants who show both aptitude and ability for the subject they are applying. Find out more about the Cranfield Scholarship
Bioinformatics is a fast-growing field that offers progressive career opportunities for forward-thinking people who are ready to grasp the challenge; people who understand both the biological and computing aspects of this science.
Our MSc opens doors to careers in industry, public research establishments and university research. The multidisciplinary nature of our course has allowed our students to follow diverse career paths in various medical-related sectors including:
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.
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.
Bioinformatics is often described as the future of biological research, combining all areas of biology, including genetics, molecular biology, biochemistry and physiology, with computer science, statistics and applied mathematics.
As a student in the Master of Science (Bioinformatics), you’ll learn from and work with high-profile researchers and practitioners in the heart of the renowned Parkville Biomedical Precinct, one of the most highly concentrated biological research and health services precincts in the world. You’ll undertake a customised first year of study, dependent on your entry pathway, followed by a common second year that will foster a broad knowledge of bioinformatics, with strong foundations in computer science, while also working independently on a significant research project.
Today's society faces the challenge of providing high-quality, patient-centred, sustainable and affordable healthcare, in an environment of increased demand and scarce resources. The Health Informatics MSc at UCL aims to form future leaders who will address this challenge, transforming healthcare delivery through the use of information and communication technologies.
Our graduates are professionals able to effectively engage with clinicians, managers, patients and policymakers, with the necessary skills and tools to harness healthcare information for improving clinical practice and service delivery. They possess the knowledge about healthcare problems, the concepts used to analyse them and the principles that govern the successful engineering, application and evaluation of solutions.
Students undertake modules to the value of 180 credits.
The programme consists of one core module (15 credits), seven optional modules (105 credits) and a research project (60 credits).
A Postgraduate Diploma (120 credits, flexible study 2-5 years) is offered.
A Postgraduate Certificate (60 credits, flexible study over a period of two years) is offered.
*Full-time MSc students have option to share Data Science for Research in Health & Biomedicine modules
All MSc students undertake an independent research project, normally based at their place of work, which culminates in a piece of work written in the style of a journal article.
Teaching and learning
The programme is taught by 'blended learning', and therefore includes interactive online teaching and face-to-face lectures, seminars and workshops including substantial use of examples of real clinical systems. Assessment is through examination, critical evaluations, technical tasks, coursework and project reports, compulsory programming and database assignments, and the dissertation.
Further information on modules and degree structure is available on the department website: Health Informatics MSc
Health informatics is a subject of growing importance, with exciting career development prospects for clinicians, managers, administrators and technologists. The main areas where our graduates find employment are business intelligence, information management, project and programme management, informatics analysts and directors, quality and service improvement management.
Recent career destinations for this degree
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 MSc in Health Informatics at UCL is taught by a team of specialists within the UCL Institute of Health Informatics, and understanding how information technologies can be harnessed for improving the delivery of care is central to their academic mission. UCL is at the centre of a vast network of clinical collaborators and houses probably the largest concentration of health informatics expertise in the UK.
The institute conducts world-leading research and our teaching, which is research based, focuses on areas such as electronic healthcare records, decision support systems, consumer health informatics, and clinical and applied bioinformatics.
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.
Learn more about the scope of UCL's research, and browse case studies, on our Research Impact website.
This course is for biosciences graduates looking to open up a route into industry, and for practising professionals seeking to widen their experience and qualifications, and extend their knowledge of applied molecular biology/bioinformatics. It provides a sound understanding of the subject’s key principles, as well as how these can be effectively applied to a wide range of industrial and environmental applications. You will benefit from working with excellent technology and research equipment in our state-of-the-art laboratories, and you also receive a thorough grounding in the necessary computing skills needed to access important online databases, such as the human genome. You will be challenged to look to the frontiers of (and even beyond) current thinking in the subject, and to be aware of how your studies impact on your future career/professional role. To complement this, you will gain essential intellectual and transferable skills such as independent planning, hypothesis formulation and testing, and the importance of originality.
Typical modules may include:
The University of Wolverhampton has a long-standing reputation for the provision of training in Molecular Biology at all levels. The course is has been at the forefront in the identification of bioinformatic skills and has lead to graduates achieving high profile employment as bioinformaticians. This course addresses the rapidly developing field of modern genetics and prepares them for the post- genomics era. The research-active staff who are associated with the Research Institute in Healthcare Science (research evaluated as of national and international excellence at the last Research Assessment Exercise) provide a highly research-focused environment which informs both teaching and the students’ own research projects.
Career paths vary from technical to managerial in the industrial, educational, health and research sectors - typically, you will be heading for a role in the areas of general molecular biology, biochemical science, medical science and biotechnology (including pharmaceuticals).
You may prefer to go into postgraduate research at an academic or private sector institution, or embark on a science teaching career.
The Department of Mathematical Sciences offers a professionally oriented Master’s of Arts degree program in statistics. The lively and versatile curriculum focuses on training that is applicable in the real world, and the program aims to prepare skillful statisticians for professional careers in industry. The track includes an integral lab component that emphasizes the practice of contemporary data analysis and exposes students to methods, software and theory commonly used in applications of statistics.
The MA is designed to provide students with a solid foundation of practical knowledge to work with statistics in depth, for future careers in the public and private sectors as statistical scientists, consultants and engineers to manage and analyze data. The program requires courses specific to the area of applied statistics, and the student is required to finish 10 courses and two 1-credit capstone seminars for a total of 42 credits. An exit exam or final thesis is not required.
Driven by the ever-greater reliance of businesses and governments on data, the demand for professionals with strong quantitative analytical skills is now higher than ever. Program graduates will be trained to pursue careers in a variety of fields that require data-crunching and quantitative analysis. Well-trained statisticians and data scientists are employed in the following roles in a wide spectrum of industries:
◾quants (and traders)
◾production/manufacturing quality control managers
◾biomedical, biometrics, and bioinformatics researchers
◾biostatisticians in pharmaceutical industry
◾government statisticians (census)
- Online graduate degree application and application fee
- Transcripts from each college/university which you attended
- Three letters of recommendation
- Personal statement (2-3 pages) describing your reasons for pursuing graduate study, your career aspirations, your special interests within your field, and any unusual features of your background that might need explanation or be of interest to your program's admissions committee
- Resume or Curriculum Vitae (max. 2 pages)
- Official GRE scores
And, for international applicants:
- International Student Financial Statement form
- Official bank statement/proof of support
- Official TOEFL, IELTS, or PTE Academic scores
- check at
Instructions in English:
In the 2016-2017 academic year, the University of Padova inaugurated a new curriculum of the Master Degree “Biotechnology applied to Food Security and Nutrition” (Second Cycle Degree) entitled “Biotechnologies for Food Science " to be entirely taught in English.
The “Biotechnologies for Food Science " Master degree (MSc) is an interdisciplinary and research-oriented Master of Science Programme and explores how to produce healthier and safer food following a cross-cutting, farm/field-to-fork approach. It is focused on the application of advanced biotechnologies in food production and safety and it is the ideal trait-d’union between the requests of consumers, of producers in the agro-food sector and research applied to production and food-safety.
The course has a strong component on cutting-edge methods, such as genomics, bioinformatics, proteomics, metabolomics, nanotechnologies, all in the context of animal and crop production as well as food quality and safety. Theoretical lessons are mixed with practical training, offering hands-on experience in advanced DNA, RNA, and protein analysis together with substantial lab sessions in bioinformatics. Lectures will deal with food production, hygiene and quality, molecular methods of agro-food analyses, effects of agro-biotech products on human beings and environments. Moreover environmental stresses, disease mechanisms, pathogens and pests will be treated as essential to understand how to protect crop and farm animals and how food might impact on human health: the lectures move across animal infectious disease, immunology, microbiology, plant pests and pathogens as well as abiotic stresses to show how biotechnology might help preventing disease and improve food production. As consumers are increasingly worried about the presence of contaminants in food and on the real origin of what they eat; the Programme includes a course in food toxicology and regulation, and one on traceability for food authentication.
Our Programme is based at the Agripolis campus, where are located four departments of the School of Agriculture and Veterinary Medicine of the University of Padova, all of which contribute to the MSc course, offering the best opportunities for a rich, cross-disciplinary experience in a highly qualified scientific environment.
This programme is open to Italian and foreign students from the EU and abroad, interested in learning and implementing effective value-added practices for the production of high-quality food products both in the EU and in international markets. English knowledge must be minimum at B2 level (CEFR). Applying students might possibly have a three-year Bachelor’s degree in a field connected with the Master’s curriculum. Good background in molecular biology, biochemistry, and microbiology is requested.
Biotechnologies for Food Science is a 2-year Master programme (120 ECTS, equivalent to a Master of Science). Requirements for graduation include courses and preparation and defense of the Master thesis. Students will be encouraged to spend a period of their studies abroad, through Erasmus+ or other local programmes and agreements. Financial support to meet part of the cost for thesis work is granted to best students.
Visit the MSc “Biotechnologies for Food Science” page on the Università di Padova web-site (http://www.unipd.it/en/biotecnologie-alimentazione) for more details.
Teaching takes place in an international environment and includes lectures and laboratory activities, practical exercises and seminars by experts; opportunities for intensive tutoring and for master thesis-related stages of at least six months duration will be available with outstanding companies in the sector of the food industry or with other relevant organisations in the private or public sphere. The Programme assists students to find suitable internship opportunities with qualified laboratories in Italy and abroad.
Examinations are written or oral and assess students’ participation also through reports, presentations, and group work.
During the first year of the programme the student will acquire knowledge on animal and crop genomics, focusing on the most advanced methods for high throughput genomic analysis (transcriptomics, genome-wide SNP analysis, epigenomics) and on the most recent approaches for selective breeding (genomic selection, genomic prediction). In parallel, the student will learn how bioinformatics tools might be applied to manage large sets of data, how biological data bases are organized and how to link different types of data. Extensive practical training in bioinformatics will be offered with various sessions in a dedicated lab. Food-borne pathogens and the positive role of microorganisms in food processes will be examined in an integrated microbiology course, while the molecular basis of pathology, host-response to infection, epidemiology, and diagnostics of transmissible diseases will form the basis of two courses. A course on biotechnology for crop production will introduce the molecular and physiological basis of crop production. Biotechnological approaches to improve crop yield, with particular attention to fruit production, and to reduce impact of abiotic stresses will examined. Molecular tools for food traceability and an intensive practical lab in DNA/RNA/protein analysis applied to food control will conclude the first year.
In the second year, the first semester have three courses. One will focus on novel technologies (proteomics, metabolomics, nanotechnology) and their application to food production. A second one will extend knowledge on plant biotechnology exploring advanced technologies for crop disease and pest management. A third one will deal with contaminants in food and food legislation. The second semester is completely dedicated to lab internship. It is possible to join a research lab in the campus or to have a working stage in the private sector.
link to the Campus descriptions:
The University of Padova, the Veneto Region and other organisations offer various scholarship schemes to support students. Below is a list of the funding opportunities that are most often used by international students in Padova.
You can find more information below and on our website here: http://www.unipd.it/en/studying-padova/funding-and-fees/scholarships
You can find more information on fee waivers here: http://www.unipd.it/en/fee-waivers