We offer an opportunity to train in one of the newest areas of biology: the application of engineering principles to the understanding and design of biological networks. This new approach promises solutions to some of today’s most pressing challenges in environmental protection, human health and energy production.
This MSc will provide you with a thorough knowledge of the primary design principles and biotechnology tools being developed in systems and synthetic biology, ranging from understanding genome-wide data to designing and synthesising BioBricks.
You will learn quantitative methods of modelling and data analysis to inform and design new hypotheses based on experimental data. The University’s new centre, SynthSys, is a hub for world-leading research in both systems and synthetic biology.
The programme consists of two semesters of taught courses followed by a research project and dissertation, which can be either modelling-based or laboratory-based.
Compulsory courses: All students will take the following courses
- Social Dimensions of Systems and Synthetic Biology
- Dissertation project
- Practical Systems Biology
- Tools for Synthetic Biology
Compulsory Course - Options In addition to the above compulsory courses, all students will need to choose 10 additional credits from this list of compulsory courses:
- Information Processing in Biological Cells
- Applications of Synthetic Biology
- Biochemistry A
- Bioinformatics Programming & System Management
- Computational Cognitive Neuroscience
- Economics & Innovation in the Biotechnology Industry
- Gene Expression & Microbial Regulation
- Introduction to Scientific Programming
- Mathematical Biology
- Neural Computation
- Practical Skills in Biochemistry A
- Statistics and Data Analysis
- Stem Cells & Regenerative Medicine
- Bioinformatics Algorithms
- Biological Physics
- Drug Discovery
- Functional Genomic Technologies
- Industry & Entrepreneurship in Biotechnology
- Metagenomic Analysis of Microbial Communities
- Molecular Phylogenetics
- Next Generation Genomics
- Probabilistic Modelling and Reasoning
The programme is designed to give you a good basis for managerial or technical roles in the pharmaceutical and biotech industries. It will also prepare you for entry into a PhD programme.
A UK 2:1 honours degree, or its international equivalent, with a strong background in one or more of the following areas: bioinformatics, computer sciences and modelling, molecular biology and related sciences, engineering or biotechnology.
We may also consider your application if you have a background in physics or mathematics.
Check whether your international qualifications meet our general entry requirements:
- Entry requirements by country
English language requirements
All applicants must have one of the following qualifications as evidence of their English language ability:
an undergraduate or masters degree, that was taught and assessed in English in a majority English speaking country as defined by UK Visas and Immigration
- UKVI list of majority English speaking countries
IELTS Academic: total 6.5 with at least 6.0 in each component
TOEFL-iBT: total 92 with at least 20 in each section
PTE(A): total 61 with at least 56 in each of the Communicative Skills scores
CAE and CPE: total 176 with at least 169 in each paper
Trinity ISE: ISE II with distinctions in all four components
Degrees taught and assessed in English must be no more than three and a half years old at the beginning of your degree programme. IELTS, TOEFL, Pearson Test of English and Trinity ISE must be no more than two years old at the beginning of your degree programme.*
(*Revised 8/11/2018 to provide more accurate information on English language qualifications expiry dates.)
Program taught in: