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Mathematics×

Full Time Masters Degrees in Mathematics, Galway, Ireland

We have 4 Full Time Masters Degrees in Mathematics, Galway, Ireland

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The MSc is a 12-month, 90 ECTS Level 9 Masters in Mechanical Engineering. This 90 ECTS programme includes a substantial 30 ECTS research project, complemented by 60 ECTS of modules (including 10 ECTS of optional modules). Read more
The MSc is a 12-month, 90 ECTS Level 9 Masters in Mechanical Engineering. This 90 ECTS programme includes a substantial 30 ECTS research project, complemented by 60 ECTS of modules (including 10 ECTS of optional modules). The research project is directly supervised by a member of academic staff for the full 12-month period on a selected industry or research topic and is assessed on the basis of a written thesis. The modules focus on advanced engineering research methods and technology, where students will combine design, computational methods and modelling, as well as experimental testing and prototyping activities, utilizing state-of-the-art research facilities in the New Engineering Building in NUI Galway. Over two semesters, students will take a total of 10 mandatory advanced modules in mechanics, materials, and applied mathematics for engineering and research methods. In addition, students will choose 2 further modules from a choice of 9 specialist modules including turbo machines, offshore engineering and advanced energy systems.

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Programming for biology. Overview of molecular biology/genetics concepts. Statistical computing in R. Algorithms for molecular biology. Read more

Core modules

• Programming for biology
• Overview of molecular biology/genetics concepts
• Statistical computing in R
• Algorithms for molecular biology
• Medical genomics I: genomics of rare and common diseases
• Medical genomics II: the cancer genome
• Genomics techniques I: sequencing library preparation
• Genomics techniques II: genomics data analysis

Optional modules

• Scientific visualization
• Probabilistic models for molecular biology
• Molecular and cell biology of cancer
• Advanced and applied immunology
• Stochastic processes
• Machine learning
• Applied statistics
• Advanced probability with applications
• Linear modeling
• Bayesian Modeling

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