Computational Biology is a rapidly growing field at the intersection of biology, mathematics and computer science. The Master of Computational Biology is a 300 point degree that aims to meet the educational needs of students seeking to work as computational biologists in industry, academia or government.
The course consists of:
Professional skills modules which provide training in business, communications and science application.
The Institute for Adaptive and Neural Computation (IANC) is a world-leading institute dedicated to the theoretical and empirical study of adaptive processes in both artificial and biological systems. We are one of the UK’s largest and most prestigious academic teams in these fields.
We foster world-class interdisciplinary and collaborative research bringing together a range of disciplines.
Our research falls into three areas:
In machine learning we develop probabilistic methods that find patterns and structure in data, and apply them to scientific and technological problems. Applications include areas as diverse as astronomy, health sciences and computing.
In computational neuroscience and neuroinformatics we study how the brain processes information, and analyse and interpret data from neuroscientific experiments
The focus in the computational biology area is to develop computational strategies to store, analyse and model a variety of biological data (from protein measurements to insect behavioural data).
You carry out your research within a research group under the guidance of a supervisor. You will be expected to attend seminars and meetings of relevant research groups and may also attend lectures that are relevant to your research topic. Periodic reviews of your progress will be conducted to assist with research planning.
A programme of transferable skills courses facilitates broader professional development in a wide range of topics, from writing and presentation skills to entrepreneurship and career strategies.
The School of Informatics holds a Silver Athena SWAN award, in recognition of our commitment to advance the representation of women in science, mathematics, engineering and technology. The School is deploying a range of strategies to help female staff and students of all stages in their careers and we seek regular feedback from our research community on our performance.
The award-winning Informatics Forum is an international research facility for computing and related areas. It houses more than 400 research staff and students, providing office, meeting and social spaces.
It also contains two robotics labs, an instrumented multimedia room, eye-tracking and motion capture systems, and a full recording studio amongst other research facilities. Its spectacular atrium plays host to many events, from industry showcases and student hackathons to major research conferences.
Nearby teaching facilities include computer and teaching labs with more than 250 machines, 24-hour access to IT facilities for students, and comprehensive support provided by dedicated computing staff.
Among our entrepreneurial initiatives is Informatics Ventures, set up in 2008 to support globally ambitious software companies in Scotland and nurture a technology cluster to rival Boston, Pittsburgh, Kyoto and Silicon Valley.
The research you will undertake at ANC is perfectly suited to a career in academia, where you’ll be able to use your knowledge to advance this important field. Some graduates take their skills into commercial research posts, and find success in creating systems that can be used in everyday applications.
A minimum of 30 credits is required for the degree, excluding bridge courses. The graduate curriculum consists of seven core courses and additional elective courses, with an optional thesis (six credits) or research project (three credits).
Select two of the following:
Understanding the relationship between brain, cognition and behaviour is one of the biggest challenges the scientific community is currently working on. Computational cognitive neuroscience is a young and exciting discipline that tackles these long-standing research questions by integrating computer modelling with experimental research.
This Masters programme will foster a new generation of scientists who will be trained in both neuro-computational modelling as well as cognitive neuroscience. Its core topics include:
The programme is suitable for students from a variety of disciplines including - but not limited to - psychology, computing, neuroscience, engineering, biology, maths and physics. Students with no prior programming experience are welcome.
Graduates of this Masters will acquire a unique set of complementary skills that will make them extremely competitive in securing research or analyst positions in both academia and industry.
You will study the following core modules:
You will also undertake a 60 credit research project investigating an aspect of cognitive neuroscience using computational modelling, advanced data analysis methods, or a combination of these techniques. Culminating in a 10,000 word dissertation, the project will be carried out by combining the computational, experimental and data analysis skills that students will acquire over Term 1 and 2.
You will choose one option from the following two modules:
You will also choose one of the following 4 options:
Please note that due to staff research commitments not all of these modules may be available every year.
Graduates of this programme will have the following assets in their portfolio:
Such a cross-disciplinary profile will make graduates of this Masters particularly competitive on the job market, especially when applying for positions that require complementary expertise and skills.
The course prepares students for employment in areas including cognitive neuroscience, IT consultancy, cognitive robotics, as well as large enterprises developing software systems inspired by human cognition (e.g., web-search engines, systems for natural language processing, information extraction, data mining and human-computer interaction).
The course is also ideal preparation for further study at PhD level.
The Master in Molecular and Cellular Life Sciences (MCLS) is research oriented and takes a multidisciplinary approach to study related to health and disease in cells and organisms. By the end of the programme you will gain sufficient fundamental knowledge to start working on applications in the field of medical and biotechnological issues. These applications may include the development of new medicines and vaccines, new strategies for crop improvement, or the development of enzymes to be used in industry.
MCLS is the ideal Master’s programme if you are interested in molecules as the basis of life and disease and if you want to know how chemistry, biology, biomedical sciences, and physics contribute to our understanding of how these molecules work. The interplay of molecules in cells and organisms is the central focus of the programme.
The Dutch Master's Selection Guide (Keuzegids Masters 2017) ranked this programme as the best in the field of Chemistry in the Netherlands.
You will develop extensive knowledge about cellular processes such as cellular signaling, membrane biogenesis and intracellular transport. You will also learn skills and methods to study the molecules involved in these processes by using biochemistry, structural biology, cell biology, biophysics, computational biology, proteomics and genomics. The programme offers you the flexibility to choose any specialisation within the field of molecular and cellular life sciences.
Within this Master’s programme you can choose one of four tracks:
Our MSc Bioinformatics and Systems Biology course looks at two concepts that complement each other and reflect the skills currently sought by employers in academia and industry.
Bioinformatics is changing as high throughput biological data collection becomes more systems-oriented, with employers seeking people who can work across both disciplines.
Enormous success has been achieved in bioinformatics, such as in defining homologous families of sequences at the DNA, RNA, and protein levels. However, our appreciation of function is changing rapidly as experimental analysis scales up to cellular and organismal viewpoints.
At these levels, we are interested in the properties of a network of interacting components in a system, as well as the components themselves.
Our MSc reflects these exciting developments, providing an integrated programme taught by researchers at the forefront of fields spanning bioinformatics, genomics and systems biology.
You will gain theoretical and practical knowledge of methods to analyse and interpret the data generated by modern biology. This involves the appreciation of biochemistry and molecular biology, together with IT and computer science techniques that will prepare you for multidisciplinary careers in research.
This course aims to:
Learn from researchers at the forefront of fields spanning bioinformatics, genomics and systems biology.
Develop your research skills in preparation for a career in the biosciences industry or academic research.
We use a range of teaching and learning methods, including lectures, practicals, group discussions, problem classes and e-learning.
Research projects provide experience of carrying out a substantive research project, including the planning, execution and communication of original scientific research.
Find out more by visiting the postgraduate teaching and learning page.
Research projects are assessed by written report. Taught units are assessed through both coursework and exams.
The taught part of the course runs from September to April and consists of 60 credits delivered from four 15-credit units:
You will undertake two research projects, each carrying 60 credits, in Semester 2 and the summer.
Additionally, tutorials and the Graduate Training Programme (skills development) will run through the whole course.
"My final MSc project was conducted in collaboration with a cancer research group in Liverpool, aimed at facilitating targeted DNA sequencing of gene regions identified as being important for breast cancer.
This gave me an opportunity to work together with researchers outside of the university on a project that had real-world value."
You will be able to access a range of facilities throughout the University.
Practical support and advice for current students and applicants is available from the Disability Advisory and Support Service .
Our graduates acquire a wide range of subject-specific and transferable skills and extensive research experience.
The combination of systems biology and bioinformatics addressed in this course reflects the current skills sought in academic and industrial (eg pharmaceutical) settings.
Around half of each class find PhD positions straight after the MSc, while others build upon their training to enter careers in biology and IT.
This course provides you with a balance of molecular biology, engineering, computing and modelling skills necessary for a career in synthetic biology. Computational design of biological systems is important as the field of synthetic biology grows. This allows the construction of complex and large biological systems.
While laboratory approaches to engineering biological systems are a major focus, the course specialises in computational design. This provides you with essential computing and engineering skills to allow you to develop software to program biological systems.
Our course is designed for students from both biological and computational backgrounds. Prior experience with computers or computer programming is not required. Students with mathematical, engineering or other scientific backgrounds are also welcome to apply. It is ideal if you are aiming for careers in industry or academia.
We provide a unique, multidisciplinary experience that is essential for understanding synthetic biology. The programme draws together the highly-rated teaching and research expertise of our Schools of Computing Science, Mathematics and Statistics, and Biology, as well as the Medical Faculty and the Institute of Human Genetics.
Research is a large component of this course. The emphasis is on delivering the research training you will need in the future to meet the demands of industry and academia effectively. Newcastle's research in life sciences, computing and mathematics is internationally recognised.
The teaching staff are successful researchers in their field and publish regularly in highly-ranked systems synthetic biology journals.
Our experienced and friendly staff are on hand to help you. You gain the experience of working in a team in an environment with the help, support and friendship of fellow students.
Your five month research project gives you real research experience in Synthetic Biology. You will have the opportunity to work closely with a leading research team in the School and there are opportunities to work on industry led projects. You will have one-to-one supervision from an experienced member of the faculty, supported with supervision from associated senior researchers and industry partners as required.
The project can be carried out:
-With a research group at Newcastle University
-With an industrial sponsor
-With a research institute
-At your place of work
We have a policy of seeking British Computer Society (BCS) accreditation for all of our degrees, so you can be assured that you will graduate with a degree that meets the standards set out by the IT industry. Studying a BCS-accredited degree provides the foundation for professional membership of the BCS on graduation and is the first step to becoming a chartered IT professional.
The School of Computing Science at Newcastle University is an accredited and a recognised Partner in the Network of Teaching Excellence in Computer Science.
You will have dedicated computing facilities in the School of Computing. You will have access to the latest tools for system analysis and development. For certain projects, special facilities for networking can be set up.
You will enjoy access to specialist IT facilities to support your studies, including:
You will have access to a Linux based website that you can customise with PHP hosting services.
We have moved to the new £58m purpose-built Urban Sciences Building. Our new building offers fantastic new facilities for our students and academic community. The building is part of Science Central, a £350 million project bringing together: