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National University of Ireland Galway

Galway , west coast ,Ireland

M.Sc Computational Genomics

Course Overview


This programme is specifically designed to train the next generation of quantitative scientists and engineers to work in this exciting new field. With backgrounds ranging from mathematics, statistics, physics, computer science and engineering, graduates of this programme will learn advanced analytical techniques and gain practical experience in applying these techniques to genomics data. The genomics sciences have revolutionised our ability to explore at the molecular level every living organism on the planet. Using innovative and powerful algorithms, genomics scientists continue to identify and analyse the signals encoded in DNA sequences in areas as diverse as agriscience, evolutionary biology and precision medicine.

Why study this programme?
This course will focus on the use and development of algorithms and computational techniques to analyze and understand genomic data. 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. 

Scholarships available

Intakes

  • Sep

Application Processing Time in Days: 30

Minimum English Language Requirements

English Level Description IELTS (1.0 -9.0) TOEFL IBT (0-120) TOEFL CBT (0-300) PTE (10-90)
Expert 9 120 297-300 86-90
Very Good 8.5 115-119 280-293 83-86
Very Good 8 110-114 270-280 79-83
Good 7.5 102-109 253-267 73-79
Good 7 94-101 240-253 65-73
Competent 6.5 79-93 213-233 58-65
Competent 6 60-78 170-210 50-58
Modest 5.5 46-59 133-210 43-50
Modest 5 35-45 107-133 36-43
Limited 4 32-34 97-103 30-36
Extremely Limited < 4 < 31 < 93 < 30

Admission Requirement / Eligibility Criteria

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).