MSc in Bioinformatics and Theoretical Systems Biology

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。-发展对生物信息学和系统生物学基础学科的理解。-发展开展生物信息学和系统生物学原创研究所需的广泛研究和分析技能。-实现有才华的数学家、物理学家和计算机科学家的学科跳跃。-向生物学家提供数学、统计和计算技能。和生物医学科学家。-使学生掌握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学位致力于在生命科学、医学科学和物理科学之间培养训练有素的个人。该课程为生物学家和医学科学家提供了一个重要且备受欢迎的机会，让他们获得数值和计算技能，并为数学、物理、计算机科学或工程学的人提供进入生命科学和生物医学科学的机会。我们提供对分子和细胞生物学、基因组学和蛋白质组学的现代介绍，以及综合系统生物学的最新发展；此外，学生还可以深入介绍生物信息学和系统生物学的数学和统计方法，以及一系列相关编程语言的培训。这门课程的毕业生能够接触到复杂的生物系统。他们学习如何从大型和综合的生物数据集中生成和测试假设，以及如何从不同物种中不同生物系统的比较中得出功能推断。学生将接触到生物信息学和系统生物学的广泛主题。帝国理工学院所有院系(医学、自然科学、工程学)的学者以及行业代表都参与了这门课程的教学。基础培训的广度对确保成功的学科跳跃或跨学科培训至关重要，同时还有深入的研究项目(总共75%的时间花在三个研究项目上)；优秀的学生通常会设法从其中一个项目中获得同行评议的研究成果。生物信息学和系统生物学和硕士学位的结构已经改变，以反映这些发展。这门课程越来越多地进入生物系统和过程的数学建模领域，现在有涵盖这些领域的大量内容。这是对学生反馈、外部考官以及学术界、产业界和研究资助机构的同事的回应。

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.