Computational Genomics

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Rapid advances in the technologies used to sequence DNA and RNA have led to an increase in the breadth of application of these sequencing-based genomics technologies, from fundamental scientific discovery in the life sciences to clinical applications in precision medicine. This requires a new generation of highly trained scientists who possess not only an understanding of the underlying biological principles and scientific technologies, but also the quantitative and computational skills necessary to analyze the large data sets generated using these cutting-edge genomics techniques.

Good Reasons To Study This Course

1. This programme has been specifically designed to train the next generation of quantitative scientists and engineers to work in this exciting new field.

2. Combining elements of data analytics, machine learning and computational biology, graduates will have a highly marketable and transferable combination of skills as well as specialist knowledge of the application of these skills in the analysis of genomics data.

3. This programme serves as an excellent pathway for quantitative graduates who wish to pursue a career in research (in either academia or industry).

Entry requirements

Minimum Entry Requirements
Applicants must have achieved a Second Class Honours degree or better in a discipline relevant to the MSc programme. Qualifying degrees include, but are not limited to, mathematics, theoretical physics, physics, statistics, computer science and engineering (biomedical or electronic/electrical/computer engineering).


1 year, full-time.

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Career Opportunities
Graduates of this programme will be well placed to seek employment in a wide range of industries, including biotechnological and pharmaceutical research and development, as well as in the emerging field of precision medicine.

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  • Qualifications

    Degree - Masters (Level 9 NFQ)

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