The MSc in Biomolecular Data Analytics & Artificial Intelligence is designed for students with an undergraduate degree in life sciences, biological and chemical sciences, or another related field, who wish to gain a comprehensive understanding of career relevant topics in the life sciences, along with critical skills in data analysis, deep learning frameworks, artificial intelligence, machine learning, systems biology and functional integrated multi-omics approaches using the latest research technologies.
The MSc course equips students with the necessary skill set to address current demands in big-data, algorithmic validation, AI-driven bioanalysis, data management and data analytics, as well as emerging automation technologies and understanding of how AI affects working environments. Students will also learn from diverse practical contexts and apply their knowledge across disciplinary boundaries to solve complex scientific problems.
*Price shown is for indicative purposes, please check with institution
September 2027
Belfield Campus
Belfield, Dublin 4,
Belfield,
Dublin,
D04 V1W8, Leinster, Republic of Ireland
Candidates are expected to have 2.1 honours NFQ Level 8 (or international equivalent ) in a Biology or Chemistry primary degree. This includes a degree in Biotechnology, Biochemistry, Microbiology, Genetics, Neuroscience, Pharmacology, Physiology, Medicinal Chemistry or an equivalent qualification.
*There may be different IELTS requirements depending on your chosen course.
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