With continuing advances in the technologies that are used to sequence DNA, medical applications of genomics are becoming increasingly important; it is now possible to diagnose rare genetic diseases from genomic sequences, while sequencing of tumours has become an important means of refining therapeutic choices in cancer treatment. 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 new 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 Second Class Honours degree in a cognate discipline. Qualifying degrees include, but are not limited to: biochemistry, genetics, biomedical science, and biotechnology.
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 increase, generating opportunities to seek employment in each of these areas. The data analysis skills learned will also allow graduates to transition to data scientist roles outside of genomics.