MSc (Research) in Systems Biology in Glasgow United Kingdom | University of Glasgow

Systems biology focuses on a comprehensive, multi-scale approach to studying biological systems. Leveraging our connections with the polyomics facility, we utilize cutting-edge post-genomic technologies to gain deeper insights.
Systems Biology combines molecular and cellular biology techniques to create a unified understanding of organismal function. This approach relies heavily on large-scale data (from imaging, microarrays, RNAseq, proteomics, or metabolomics - areas where we have exceptional resources), complemented by computational and mathematical biology to extract meaningful patterns. The field synergizes particularly well with model organisms like yeast, Drosophila, or Arabidopsis, as well as human biomedical research. Many of our project supervisors maintain strong ties with pharmaceutical and agrochemical industries through their work in drug discovery, biotechnology, and clinical applications. The cross-disciplinary nature of systems biology fosters extensive international collaborations between our faculty and both academic and industrial partners. The College of Medical, Veterinary & Life Sciences provides funding for international lab visits, enabling students to conduct portions of their research abroad - an exceptional chance to expand professional networks and enhance scientific expertise.
Research projects align with current School initiatives, primarily focusing on fundamental science. We employ diverse interdisciplinary methods including biochemistry, molecular biology, genetics, materials science, polyomics (genomics, transcriptomics, proteomics, metabolomics, etc.), bioinformatics, structural biology, and advanced imaging. Key research areas encompass: modeling tissue-specific circadian rhythms in plants. genomic analysis of Drosophila tissue regulation. enhancing protein production in mammalian cells. studying mitochondrial adaptation to stress through systems biology. investigating light-mediated hormone signaling in Arabidopsis. quantitative analysis of membrane transport systems. multi-scale modeling of photosynthetic gas exchange. identifying metabolites that influence stem cell differentiation through materials science and metabolomics. processing and integrating complex omics datasets