MSc Synthetic Biology

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Tuition fee
Apply by
Start date
Sep 2025
Sep 2026
Duration
Campus
Mode of study
Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
Offer response
2 - 3 weeks after your application is submitted
Backlogs accepted
This course accepts backlogs

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.

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Requirements

The requirements may vary based on your selected study options.





















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Use our magical AI system, to check your admission chances for this course.
Tuition fee
Apply by
Start date
Sep 2025
Sep 2026
Duration
Campus
Mode of study
Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
Offer response
2 - 3 weeks after your application is submitted
Backlogs accepted
This course accepts backlogs