All students take 8 taught modules in term 1 and 2 and carry out two 12-week research projects after term 2 until the end of the academic year. Students take alternate biology (CH920 or BS930) and mathematical (CH923/CH927 and BS915/BS917) options, depending on their background.

Cellular Systems and Biomolecules I (CH920)

Will be taken by students with a theoretical background and will introduce them to biological cells, their component parts and the molecules that make up those parts. This course will ensure that the students understand the basic molecular mechanisms in cells and teach them to use molecular biology techniques to produce, purify and analyse molecules in cells.  

Cellular Systems and Biomolecules II (BS930)

This module is taken by students with a background in life sciences and aims to train these students in critical examination of the published literature.  Communication skills with colleagues from another discipline is an important aspect of this course.   

Biological Systems (BS914)

In this module (taken by all students) the students are introduced to genuine Systems Biology research projects taking place in Warwick. The lecture sessions consist of a double act between the ‘wet’ and ‘dry’ researchers and illustrate the essential interactions between the two disciplines in a variety of different research areas.   

Technologies for the study of Systems Biology (BS918) 

Is taken by all students and provides an introduction to a variety of techniques that are essential to obtain the data necessary for a systems biology project. This includes lectures on microarray analysis, imaging, genomics, proteomics and metabolite profiling as well as several hands on training and data analysis sessions. In addition, training in programming takes place in a series of workshops.

Microscopy and Imaging (CH922)

Is taken by all students and will introduce the latest techniques for high resolution bioimaging technologies that can provide new insights into the structure and function of biomolecules and cells. In each case, the instrumentation and the methods of data collection and the form the data takes will be discussed and at the end of the module, the students will be able to assess the relative merits of the various techniques and understand the advantages and limitations of each. 

Statistics for Data Analysis (CH923)

Is  taken by students with an experimental background who do not have an in depth knowledge of statistics. The course introduces students to the statistical and bioinformatics tools that are essential for the analysis of large datasets and complex biological systems.  

Mathematical models of Biological Systems (CH924)

This module is taken by all students and introduces them to the varoius methods required for mathematical modeling of biological data.

Numerical methods for modelling (CH925)

This module is taken by all the students and focuses on mechanisms essential for understanding and quantifying biological processes in cells and tissues. The derivation of fundamental equations is followed by the discussion of various numerical methods that can be used to solve biological questions.  

Quantitative Biology (CH927)

In this module (taken by students in the experimental stream) the focus is on developing understanding of mathematical techniques for the study of large-scale quantitative data with case studies in both animal and plant systems

Statistical Bioinformatics (BS915)

Is taken by students with a theoretical background and may be also taken by students from the experimental stream if they already have a strong grounding in statistics and bioinformatics. This course presents the application of methods from probability, statistical theory, and stochastic processes to problems of interest to bioinformaticians and systems biologists, mainly in the area of biosequence analysis.  

Advanced Modelling and Statistics (BS917)

Is taken by the students with a strong theoretical background and aims to acquaint students with state of the art modelling and statistical techniques used in the systems biology of gene networks. Students will master the basic set of ideas required to carry out further research in network inference, and many of the statistical techniques will be appropriate to a broader research base in systems biology.

Mini Projects (BS919 to BS929)

Students will each do two 12-week mini research projects of their choice from a wide selection of topics, one theoretical and one lab-based.

BS codes denote modules run by Systems Biology DTC;
CH codes are modules run by MOAC