Published: May 25, 2016 1:42:02 PM
GEE scientists recognised by the Linnean Society for their outstanding contributions to the Natural Sciences
Published: May 25, 2016 1:40:01 PM
The Challenge of Monitoring Biodiversity
Tue, 04 Aug 2015 14:12:04 +0000
a guest blog by Charlie Outhwaite, written for the 2015 Write About Research Competition. Biological diversity, or biodiversity, is a complex term encompassing the variety of life found on Earth. It incorporates not only differences between species but within species themselves and of the environments and ecosystems where they are found. We as humans benefit […]Read more...
Taught Masters are offered full-time over 12 months. The programme of work is divided into three parts: compulsory core modules, optional modules and a dissertation project based on an original piece of work.
This MSc is run by the UCL Genetics Institute (UGI) within GEE. The course provides students with in-depth knowledge of the genetics of human disease and how this can be applied to improve healthcare through the development of diagnostic tests and therapeutic agents. They will also get a strong grounding in cutting edge research methods and techniques used by scientists.
The MSc in Pharmacogenetics and Stratified Medicine, run by the UCL Genetics Institute (UGI), brings together the academic and clinical strengths of pharmacology, biochemistry and genetics at UCL. It provides an in-depth knowledge of pharmacology of drugs and the consequences of drug treatment. Students will learn about the approaches taken to study population groups and how this knowledge can be applied to improve human health.
(starts in September 2015)
The new MSc in Computational and Genomic Medicine, run by the UCL Genetics Institute (UGI), is a unique programme in the UK. It aims to provide students with general knowledge of Bioinformatics as well as to equip them with the specialised knowledge and skills required to use post-genomic data for predicting and defining the genetic basis of various human diseases. These allow students to be able to analyse human genomic data to develop innovative diagnostic tools and therapeutic approaches. It will provide an integrated view of computational and genomic science research and in-depth knowledge and skills of different research techniques in these fields.
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