| Program start date | Application deadline |
| 2023-09-01 | - |
Program Overview
Overview
As the field of synthetic biology grows, computational design of biological systems is important. It allows the construction of complex and large biological systems.
This Synthetic Biology master's specialises in computational design. Laboratory approaches to engineering biological systems are also a major focus. The course provides you with essential computing and engineering skills. You'll learn to develop software to program biological systems.
We've designed this Synthetic Biology master's 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 from:
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. Newcastle's research in life sciences, computing and mathematics is internationally recognised.
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Important information
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Your course and study experience - disclaimers and terms and conditions
Please rest assured we make all reasonable efforts to provide you with the programmes, services and facilities described. However, it may be necessary to make changes due to significant disruption, for example in response to Covid-19.
View our Academic experience page, which gives information about your Newcastle University study experience for the academic year 2022-23.
See our terms and conditions and student complaints information, which gives details of circumstances that may lead to changes to programmes, modules or University services.
Program Outline
What you'll learn
You'll take compulsory modules (70 credits) and optional modules (20 credits). This is 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
umerical theme or a more biologically oriented theme.
Modules
You will study modules on this course. A module is a unit of a course with its own approved aims and outcomes and assessment methods.
Course content changes
Module information is intended to provide an example of what you will study.
Our teaching is informed by research. Course content changes periodically to reflect developments in the discipline, the requirements of external bodies and partners, and student feedback.
Full details of the modules on offer will be published through the Programme Regulations and Specifications ahead of each academic year. This usually happens in May.
Optional modules availability
Some courses have optional modules. Student demand for optional modules may affect availability.
To find out more please see our terms and conditions.
Synthetic Biology MSc modules
| Compulsory Modules | Credits |
|---|---|
| Modelling Cellular Systems | 10 |
| An Introduction to Synthetic Biology | 10 |
| Advanced Synthetic Biology | 10 |
| Advanced Programming for Digital Biology | 10 |
| Bio-design Automation | 10 |
| Research Skills and group project for digital biology | 10 |
| Research Project for Synthetic Biology | 80 |
| Computing Foundations of Data Science | 10 |
| Numeric Skills for Digital Biology | 10 |
| Optional Modules | Credits |
|---|---|
| Computational Analysis of Complex Biological Systems | 10 |
| Fundamentals of Cell and Molecular Biology | 10 |
| Computing for Digital Biology | 10 |
| Bio-data science | 10 |
