我们提供了在生物学的最新领域之一中进行培训的机会：将工程原理应用于理解和设计生物学网络。这种新方法为解决当今在环境保护，人类健康和能源生产方面最紧迫的挑战提供了解决方案。该理科硕士将为您提供有关系统和合成生物学中正在开发的主要设计原理和生物技术工具的透彻知识，范围从了解全基因组数据到设计和合成BioBricks。您将学习建模和数据分析的定量方法，以基于实验数据来告知和设计新的假设。该大学的新中心SynthSys是系统和合成生物学领域世界领先研究的枢纽。
On the Systems and Synthetic Biology MSc your study will focus on one of the newer areas of biology: the application of engineering principles to the understanding, control, and design of biological networks. This approach promises solutions to some of today's most pressing challenges in environmental protection, human health, and energy production.<br><br>In systems biology, we use computational modelling twinned with experimental research to understand how biomolecular networks can generate such diverse behaviour as the swimming of a bacterium, to the development of a person from a single egg.<br><br>Synthetic biology combines systems biology with engineering principles to design and build new biomolecular networks with goals ranging from modifying microbes to digest industrial waste, to creating artificial life.<br><br>Our MSc offers training that reflects the diversity of systems and synthetic biology, from experimental lab work to stochastic simulations of biological circuits to the social implications of designed cells. We will provide you with a thorough knowledge of the fundamental principles and biotechnological tools used in systems and synthetic biology, with applications ranging from understanding genome-wide data to designing and synthesising intracellular logic gates.<br><br>Often the highlight is the three-month research project, which is typically carried out in a world-leading laboratory at the University's Centre for Engineering Biology. Your research can be computationally or experimentally based or both, in either systems or synthetic biology, and focused on bacteria, yeast, algae, plants, or mammalian cells and tissues.<br><br>In the School of Biological Sciences, we offer multi-disciplinary opportunities, and you are able to tailor your degree to suit your background and area of interest, selecting courses from across biology, as well as in physics, mathematics, and computer science.