This has led to a growing need for scientists who can both analyse genomic data and interpret results based on a strong understanding of biological context. Graduates of this programme will gain practical skills in the generation of genomic data using the latest sequencing technologies and will learn the computational and statistical techniques necessary for their analysis.
3 GOOD REASONS TO STUDY THIS COURSE
1. This course will provide postgraduate training in genomics relevant to medicine. Rapid advances in the technologies used to sequence DNA and RNA have led to an increase in the breadth of application of sequencingbased genomics technologies, with applications ranging from fundamental scientific discovery in the life sciences to clinical applications in precision medicine.
2. Graduates will become highly skilled in scientific principles and technologies, and will develop the quantitative and computational skills to analyse large data sets generated using the latest genomics techniques.
3. With the establishment of this programme, NUI Galway is positioning itself as a major European centre for biomedical genomics training and research.
Minimum Entry Requirements
Applicants must have achieved a First or strong Second Class Honours degree in a cognate discipline. Qualifying degrees include, but are not limited to: biochemistry, genetics, biomedical science, and biotechnology.
WHEN TO APPLY: University of 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.
1 year full-time.
Post Course Info
There is currently a high demand for genomic data scientists. As advances in precision medicine take hold, it is anticipated that the need for genomics analysts in healthcare, the pharmaceutical industry and in academic research will continue to grow, generating opportunities for employment in each of these areas. The data analysis skills learned will also allow graduates to transition to data scientist roles outside of genomics.