Course List

We offer a range of metabolomics courses suitable for scientists with a range of experience in metabolomics, from introductory courses for those interested in learning more about the study, to experienced PDRA's looking to expand their knowledge of equipment and sampling.

Please view the course listings below for more information.

Face to Face Courses (8)
	Introduction to Metabolomics for the Clinical Scientist Course Length: 1 day Next Course Date: 11 May 2018 \| 22 October 2018 Recommended Level: Individuals with no previous experience of metabolomics
	Metabolomics with the Q Exactive Course Length: 3 days 2018 Course Dates: 15-17 May 2018 \| 19-21 November 2018 Recommended Level: Individuals with minimal experience of applying LC-MS in metabolomics studies
	Quality Assurance and Quality Control in Metabolomics Course Length: 2 days 2018 Course Date: 7-8 June 2018 Recommended Level: PhD students and post-doctoral researchers
	Multiple Biofluid and Tissue Types, From Sample Preparation to Analysis Strategies for Metabolomics Course Length: 3 days 2018 Course Date: 23-25 July 2018 Recommended Level: PhD students and post-doctoral researchers
	Introduction to Metabolomics for the Environmental Scientist Course Length: 2 day 2018 Course Dates: 27-28 September 2018 Recommended Level: Individuals with no previous experience of metabolomics
	Introduction to Metabolomics for the Microbiologist Course Length: 3 days 2018 Course Dates: 19-21 September 2018 Recommended Level: PhD students and post-doctoral researchers
	Metabolite identification with the Q Exactive and LTQ Orbitrap Elite Course Length: 2 days 2018 Course Dates: 22-23 November 2018 Recommended Level: PhD students and post-doctoral researchers

Online Courses (2)
	Metabolomics: Understanding Metabolism in the 21st Century Course Length: 4 weeks (~3 hours per week) 2018 Course Dates: TBC Recommended Level: Individuals with no previous experience of metabolomics.
	Metabolomics Data Processing and Data Analysis Course Length: 4 weeks (~4 hours per week) 2018 Course Dates: 8 October 2018 Recommended Level: MSc and PhD students in the early stages of analysing metabolomics data.