MSc (Genomics Data Science)

Course Overview

Rapid advancement in high-throughput DNA sequencing methods has led to an unprecedented increase in the availability and use of genomic data, leading to groundbreaking discoveries in important areas ranging from the life sciences to clinical applications in genomic and precision medicine.

The analysis of large and complex datasets, generated using these cutting-edge techniques, requires a new generation of well-trained scientists, who possess not only the necessary quantitative and computational skills but also a sound understanding of the underlying biological principles.

Combining elements of genetics, statistics, machine learning, data analytics, and computational biology, this exciting programme will provide students with a highly marketable and transferable set of big data science skills, as well as specialist knowledge of and practical experience in the application of these skills to genomic data.

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You may also be interested in one of our other postgraduate taught degree programmes Mathematics, Bioinformatics and Computational Genomics

Applicants must have achieved a First Class Honours degree or a strong Second Class Honours degree in a quantitative discipline. Qualifying degrees include, but are not limited to, mathematics, statistics, physics, computer science, computational biology, and biomedical, electronic, and computer engineering.

Graduates will be well placed to seek employment in a wide range of industries that employ genomics technologies, including biotechnology and pharmaceutical R&D, as well as clinical healthcare. Graduates will also have the option to pursue PhD research, for example in the University of Galway-led SFI Centre for Research Training in Genomics Data Science (genomicsdatascience.ie). Given the highly transferrable and sought after nature of the data science skills learned, graduates may also choose to enter data analyst or data scientist roles in non-genomics domains.