MSc in Bioinformatics and Theoretical Systems Biology

目的和目标：-培养学生在学术界、工业界或公共部门从事生物信息学和系统生物学的研究工作。- 培养对生物信息学和系统生物学基础学科的理解。- 发展进行生物信息学和系统生物学原创性研究所需的广泛研究和分析技能。- 为有才华的数学家、物理学家和计算机科学家提供跨学科学习机会。- 为生物学家提供数学，统计和计算技能。和生物医学科学家。- 使学生具备在学术界和工业界进行生物信息学和系统生物学领域有效研究的一般技能。生物信息学和理论系统生物学硕士课程解决了在生命，医学和物理科学之间的界面上对训练有素的个人的需求。该课程为生物学家和医学科学家提供了一个重要和备受追捧的机会，以获得数值和计算技能，并为数学，物理，计算机科学或工程人员进入生命和生物医学科学。我们提供了一个现代的介绍分子和细胞生物学，基因组学和蛋白质组学，以及在综合系统生物学的最新发展;此外，学生接受深入介绍生物信息学和系统生物学的数学和统计方法，以及在一系列相关的编程语言的培训。本课程的毕业生能够参与复杂的生物系统。他们学习如何从大型综合生物数据集生成和测试假设，以及如何从不同物种的不同生物系统的比较中得出功能性推论。学生接触到广泛的生物信息学和系统生物学的主题。该课程的教学涉及来自帝国理工学院所有学院（医学，自然科学，工程）的学者以及行业代表。基础培训的广度-对于确保成功的跨学科培训或跨学科培训至关重要-是由深入的研究项目补充的（总共75%的时间花在三个研究项目上）;好学生通常设法从这些项目中获得同行评审的研究出版物。生物信息学和系统生物学和MSc的结构已经改变，以反映这些发展。该课程越来越多地进入生物系统和过程的数学建模领域，现在有大量的内容涵盖这些领域。这是为了回应学生的反馈，外部考官以及学术界，工业界和研究资助机构的同事。

Aims and objectives: - To train students for a research career in bioinformatics and systems biology in academia, industry or the public sector. - Develop understanding of the fundamental disciplines underlying bioinformatics and systems biology. - Develop broad research and analytical skills necessary to conduct original research in bioinformatics and systems biology. - Enable discipline hopping for talented mathematicians, physicists and computer scientists. - Provide mathematical, statistical and computational skills to biologists. and biomedical scientists. - To equip students with the general skills for effective research in academia and industry the fields of bioinformatics and systems biology. The MSc in Bioinformatics and Theoretical Systems Biology addresses the need for highly trained individuals at the interface between the life, medical and physical sciences. The course offers an important and highly sought after opportunity for biologists and medical scientists to acquire numerical and computational skills, and for people from mathematics, physics, computer science or engineering to enter the life- and biomedical sciences. We provide a modern introduction to molecular and cellular biology, genomics and proteomics as well as the recent developments in integrative systems biology; furthermore students receive in-depth introductions to mathematical and statistical methods for bioinformatics and systems biology, as well as training in a range of relevant programming languages. Graduates of this course are able to engage with complex biological systems. They learn how to generate and test hypotheses from large and integrative biological datasets, and how to draw functional inferences from comparisons of different biological systems in different species. Students are exposed to a broad range of topics in bioinformatics and systems biology. Teaching of the course involves academics from all faculties (Medicine, Natural Sciences, Engineering) at Imperial College as well as industry representatives. The breadth in basic training - essential to ensure successful discipline hopping or interdisciplinary training - is complemented by in-depth research projects (in total 75% of the time are spent on three research projects); good students typically manage to get a peer-reviewed research publication out of one of these projects. Bioinformatics and Systems Biology and the structrue of the MSc has changed to reflect these developments. The course has increasingly moved into the area of mathematical modelling of biological systems and processes and now has substantial components covering these areas. This has been in response to student feedback, external examiners as well as from colleagues in academia, industry and research funding bodies.