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.

Project work

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

Delivery

This interdisciplinary programme is based in the School of Computing and taught jointly with the Schools of Mathematics, Statistics and Physics and Natural and Environmental Sciences, and the Institute of Genetic Medicine.

We cater for students with a range of backgrounds, including Life Sciences, Computing Science, Mathematics and Engineering. Half of the course is taught and the remainder is dedicated to a research project.

Our programme structure is highly flexible. You can tailor your degree to your own skills and interests.

You take compulsory modules (70 credits) and optional modules (20 credits), followed by a six-month individual project that may be taken within the University or with a bioinformatics or pharmaceutical company (90 credits). Optional modules enable you to tailor your degree to either a computational/numerical theme or a more biologically oriented theme.  

Module changes

Module changes

Modules change annually to take account of:

• changing staff expertise
• developments in the discipline
• the requirements of external bodies and partners
• student feedback.

Most module information for 2019 entry will be available from mid-May 2019.

Find out more about our tuition fees, including how to pay them and available discounts.

EU students starting at Newcastle in 2019 will pay the UK (Home) tuition fee for the full duration of their course.

Funding opportunities

If you have lower English Language scores, you may be accepted onto a pre-sessional English course. 

Start dates

The course starts in September. There is no application closing date for this course.

We suggest international students apply at least two months before the course starts. This is so that you have enough time to make the necessary arrangements.

Deposit

If you live outside the UK/EU you must:

• pay a deposit of £1,500
• or submit an official letter of sponsorship

The deposit is payable after you receive an offer to study at Newcastle University. The deposit is non-refundable, but is deducted from your tuition fees when you register.