Course Details in 2025/26 Session


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Module Title LM Metabolomics and advanced (omics) technologies
SchoolSchool of Bioscience
Department School of Biosciences
Module Code 02 29784
Module Lead Ralf Weber
Level Masters Level
Credits 20
Semester Semester 2
Pre-requisites
Co-requisites
Restrictions None
Exclusions
Description This module will introduce you to metabolomics, and you will learn about the data processing and data analysis approaches (e.g. biostatistics and metabolite identification) that are used to interpret data and extract biological insight from the large metabolomics data sets. You will also be introduced to the analytical approaches (e.g. mass spectrometry and NMR spectroscopy) that are used in metabolomics, so that you can appreciate the challenges involved in producing robust and reproducible data sets.

Additionally, this module will introduce you to other emerging and advanced (omics) techniques, including bioimaging and spectroscopy.

The course will include a combination of interactive seminars, hands-on computer workshops, tutorials and a tour of the new Phenome Centre Birmingham.
Learning Outcomes By the end of the module students should be able to:
  • Demonstrate a conceptual understanding of metabolomics, biological imaging and other advanced bioscience technologies.
  • Demonstrate a conceptual understanding of the major challenges facing metabolomics, biological imaging and other advanced bioscience technologies.
  • Demonstrate a conceptual understanding of a typical bioinformatics workflow to process and analyse metabolomics datasets.
  • Perform basic bioinformatics data analysis and extract biological insight from large metabolomics data sets.
Assessment 29784-04 : Synopsis : Coursework (15%)
29784-05 : Exam : Exam (Centrally timetabled) - Computer based (50%)
29784-06 : Presentation : Presentation (35%)
Assessment Methods & Exceptions Assessment:
  • Exam (2 hours in class), including MCQs and SAQs (50%).
  • Individual oral presentation (5-15 minutes) (35%).
  • Abstract/Synopsis, 300 words (15%).
Reassessment: If a student fails the module then they will be required to repeat the failed components only.
Other
Reading List