COURSE CURRICULUM

The MSc in Bioinformatics at the University of Leicester provides a comprehensive curriculum designed to develop advanced computational and analytical skills for biological data. Students begin by studying gene and genome analysis, gaining an understanding of the structure, function, and evolution of genetic material and how computational tools can be applied to decode it. Protein structure and bioinformatics modules explore the relationship between amino acid sequences and protein function, alongside techniques to analyse and predict protein structures using computational methods. The course emphasizes programming skills and advanced topics in bioinformatics, ensuring students can develop software solutions and workflows to address complex biological questions. Students also study algorithms for bioinformatics, learning efficient methods for data processing, pattern recognition, and interpretation of large-scale biological datasets. The Big Data and Predictive Analytics module equips students with the ability to manage and analyse vast volumes of biological data, applying statistical and machine learning techniques to extract meaningful insights. The program culminates in a steered research project, allowing students to apply their skills to a focused research question under expert supervision, often integrating internal and external research collaborations. Overall, the MSc combines theory, practical computing, and research experience to prepare graduates for careers in bioinformatics, biotechnology, and related scientific industries.