Genomics Data Science School of Mathematics, Statistics & Applied Mathematics College of Science and Engineering
PROGRAMMES AVAILABLE: MSc DURATION: 1 year, full-time NUMBER OF PLACES: 10 COURSE INSTANCE(S): 1GDS1 FEES AND FUNDING: Fees information and funding opportunities: pages 286 and 288. WHEN TO APPLY: NUI Galway does not set a deadline for receipt of applications (with some exceptions). Offers will be issued on a continuous basis. Candidates are encouraged to apply as early as possible. See page 284 for full details of when and how to apply. CONTACT Dr Pilib Ó Broin T: +353 91 492 337 E: pilib.obroin@nuigalway.ie 3 GOOD REASONS TO STUDY THIS COURSE 1. Combining elements of statistics, data analytics and computational biology, graduates will have a highly marketable and transferable combination of skills. 2. This course provides excellent training for graduates who wish to pursue a research career either in academia or industry. 3. Class sizes are small and most of the modules are taught in a dedicated computer lab.
NEW for 2021
Your Course Rapid advancements in high-throughput technologies used to sequence DNA have led to an unprecedented increase in the availability and use of genomics data, from fundamental scientific discovery in the life sciences to clinical applications in precision medicine. The analysis of these large, complex datasets requires a new generation of highly trained scientists who possess not only a sound understanding of the underlying biological principles and technologies, but also the necessary quantitative and computational skills. Combining elements of genetics, statistical science, data analytics, machine learning, bioinformatics and computational biology, this exciting new programme will provide graduates with a highly marketable and transferable set of data science skills as well as specialist knowledge of and experience in the application of these skills to the analysis and interpretation of genomics data. Career Opportunities 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 NUIG-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. Minimum Entry Requirements Applicants must have achieved a first or strong second class honours degree in a quantitative discipline. Qualifying degrees include, but are not limited to, mathematics, physics, statistics, computer science, and engineering (biomedical or electronic/ computer engineering). FIND OUT MORE AT: www.nuigalway.ie/courses/taught-postgraduate-courses/ genomics-data-science.html
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