Full time September MSc Full-time: 1 year
Biological Sciences (4) Engineering (12) Nursing & Health (27)

FindAMasters summary

Are you fascinated by the complex world of microbes and their impact on our health? Look no further than our Microbiome in Health & Disease MSc programme at King's College London. This unique programme offers a comprehensive understanding of microbiome analysis and its role in pathology, combining computational and experimental techniques. Delivered by the Centre for Host-Microbiome Interactions, you'll explore systems biology, bioinformatics, molecular biology, microbiology, immunology, and physiology. With a focus on clinical, agricultural, and environmental challenges, you'll learn to analyse omics data sets and develop innovative solutions. Whether you're interested in academia or industry, this programme will prepare you for an exciting career in this emerging field. To join, you'll need a 2:1 honours degree in computer sciences, mathematics, biological sciences, biotechnology, engineering, or chemistry, or a similar field. Applicants with a 2:2 honours degree but with significant laboratory or computational experience will also be considered. Don't miss out on this opportunity to dive into the fascinating world of microbiomes and their impact on our health and disease. Register your interest today!

About the course

Our Microbiome in Health & Disease MSc provides students with a unique background in all aspects of both analysis of microbiome and determining the role of microbiome in pathology with experience in both computational and experimental techniques.

Designed and delivered by the Centre for Host-Microbiome Interactions (CHMI) at King's, the course brings together teaching in systems biology and bioinformatics with molecular biology, microbiology, immunology and

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Entry Requirements

Bachelor's degree with 2:1 honours in computer sciences, mathematics, biological sciences, biotechnology, engineering or chemistry, or similar.

Applicants with a bachelor's (first) degree in subjects above with 2:2 honours who have significant prior laboratory or computational experience will be considered.


 Course Content

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