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ATU - Donegal Campuses
Bioinformatics - Letterkenny
This programme will meet the current and future demand for professionals in the broad and expanding field of bioinformatics. Upon completion of the programme, graduates will gain knowledge and training in both bioinformatics and big data analytics skills. Students will graduate with in-depth training and skills in data analytics including storage, analysis and interpretation and the application of computational techniques for data-driven decision-making. Given the programme’s focus on core programming competencies enriched with applied bioinformatics training, graduating students will be work-ready and able to make immediate contributions in their place of employment.
Who should apply?
This programme will appeal to students with a background and training in the biological sciences, including but not limited to genetics, bioanalytical science, biochemistry, or molecular biology. It will be of particular interest to students who wish to develop programming skills and combine them with existing molecular biology skills, and to learn to apply this knowledge in a wide variety of sectors that deal with large databases. Computational Sciences graduates will also be interested in the programme and can extend their existing programming knowledge for application in the specialised Bioinformatics domain. The programme will also be of relevance to anyone who currently works within an organisation in the life sciences, (bio)pharmaceutical, or medical sciences sector.
Subjects taught
What will I study?
Postgraduate Certificate:
Genome Biology
Genomic Techniques & Databases
Bioinformatics Methods
Postgraduate Diploma:
Programming for Bioinformatics
Data Analysis (with R)
Bioinformatics Analysis on the Command Line
Entry requirements
Applicants require a 2.2 Honours Degree in a relevant medical or life sciences subject (e.g., Genetics, Molecular Biology, Biomedical Sciences, Bioanalytical Science, Nutrition, Biochemistry) or in a discipline with a significant element of Mathematics, Statistics or Computer Science with first or second-class honours or an equivalent qualification. Candidates who do not have an Honours degree but have significant relevant experience may also be eligible for consideration via Recognition of Prior Learning (RPL).
Application dates
Flexible learning courses are popular, and they fill on a first come, first served basis. There are two major intake periods throughout the academic year, September and January.
For January start courses, applications typically open in October, and for September start courses, applications typically open in February. Closing dates for applications are listed on the individual course webpage.
Duration
1 year full-time/part-time, online delivery.
Study Hours
Lecture hours: 4 hours synchronous plus 4 hours asynchronous.
On-Campus Attendance
Optional two-day workshop at the start of each semester.
Post Course Info
Progression Pathways
Many of our Masters programmes are structured in a way that includes recognised entry and exit awards. This means that you can apply for part of Masters first and learn at your own pace or if you are unable to complete the full programme, you can still gain a recognised qualification. Our entry and exit awards typically include Postgraduate Certificate award and a Postgraduate Diploma award.
More details
Qualification letters
PgDip
Qualifications
Postgraduate Diploma (Level 9 NFQ)
Attendance type
Full time,Part time,Daytime
Apply to
Course provider