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MSc Genomics Data Science Video

The MSc Biomedical Genomics degree programme aims to train graduates with backgrounds in the molecular life sciences in genomics relevant to medical applications.

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 

Applications and Selections

Applications are made online via the University of Galway Postgraduate Applications System

Who Teaches this Course

Pilib Ó Broin, PhD

researcher
Dr Matthew Dorman
BA mod, PhD
Lecturer Above The Bar
Clinical Bioinformatics
Mathematical & Statistical Sciences
University of Galway
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researcher
Dr Lars Jermiin
PhD
Lecturer Above The Bar
E: Lars.Jermiin@universityofgalway.ie
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Requirements and Assessment

Requirements

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.

Assessment

Students are formally assessed through a variety of both continuous assessment and end-of-semester written examinations. Continuous assessment include written assignments, programming exercises, genomic analyses, individual and group presentations. Assessment of the research project includes a literature review and manuscript, as well as an oral presentation.

Postgraduate Scholarships