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.
Applications of Synthetic Biology Dissertation project Information Processing in Biological Cells Practical Systems Biology Social Dimensions of Systems and Synthetic Biology Tools for Synthetic Biology
Biobusiness Biochemistry Bioinformatics Algorithms Bioinformatics Programming & System Management Biological Physics Computational Cognitive Neuroscience Drug Discovery Economics & Innovation in the Biotechnology Industry Environmental Gene Mining & Metagenomics Functional Genomic Technologies Gene Expression & Microbial Regulation Industry & Entrepreneurship in Biotechnology Introduction to Scientific Programming Molecular Phylogenetics Neural Computation Next Generation Genomics Practical Skills in Biochemistry Probabilistic Modelling and Reasoning Statistics and Data Analysis Stem Cells & Regenerative Medicine
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.
The minimum entry requirement is a UK 2:1 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. Physics, mathematics or other backgrounds will also be considered.
For 2016-17: £13,000 (Home/EU) , £25,900(Overseas)
Recipient: University of Edinburgh
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