MSc in Bioinformatics
A master’s programme equipping graduates with expertise in bioinformatics and big data analytics for healthcare and life sciences.
Best for:Best for graduates with a background in medical or life sciences, mathematics, statistics, or computer science seeking to specialise in bioinformatics and big data analytics for healthcare applications.
Overview
This master’s programme addresses the growing demand for professionals skilled in bioinformatics and big data analytics. Offered by ATU Donegal Campuses, it provides comprehensive training in both fields, preparing graduates for careers in medical research, genomics, and data-driven healthcare solutions. The curriculum integrates theoretical knowledge with practical applications, ensuring students develop strong analytical and computational skills. The programme is designed for individuals with a background in medical or life sciences, mathematics, statistics, or computer science. Optional Recognition of Prior Learning (RPL) may be considered for applicants without an honours degree but with relevant experience.
What you'll do
- Develop expertise in bioinformatics and big data analytics to address challenges in healthcare and life sciences.
- Learn to apply computational methods to analyse biological data, including genomics and medical datasets.
- Engage in hands-on projects involving data processing, statistical analysis, and bioinformatics tool development.
- Gain practical experience in interpreting and visualising complex biological data.
- Collaborate on interdisciplinary projects that integrate bioinformatics with medical and life sciences research.
- Develop skills in data management, machine learning, and computational techniques relevant to biomedical research.
Requirements
Degree required: 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.
Degree offered: MSc in Bioinformatics
Language: English proficiency (not explicitly stated but implied for academic programme)
Instruction: English
- Strong analytical and computational skills
- Basic proficiency in programming or data analysis tools
- Understanding of biological concepts and principles
- Ability to work with large datasets and statistical software
- Applicants without an honours degree may be considered via Recognition of Prior Learning (RPL) if they have significant relevant experience.
- No specific nationality or residency restrictions mentioned.
Funding & terms
Programme and admissions
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How to apply
Deadline: Varies by intake period (February for September start, October for January start; exact dates listed on course webpage)
Applicants should visit the ATU website for detailed instructions on how to apply. Applications are submitted online through the university’s application portal. Ensure all required documents are uploaded and deadlines are met for the desired intake period.
- CV or resume
- Academic transcripts (Bachelor’s degree)
- Proof of English proficiency (if applicable)
- Statement of purpose or research proposal (if required)
- Letters of recommendation (if applicable)
Contact
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