Overview
Status: Active
National Framework Of Qualifications (NFQ) Level: 9
NFQ Award Class: Major Award
Total Credits: 60
Connected Curriculum: - Employability
- Global Reach
- Inter-and Transdisciplinary
- Research Based Teaching
- Sustainability
Sustainable Development Goals (SDGs): - Good Health and Well-being
- Industry, Innovation, and Infrastructure
- Responsible Consumption and Production
- Life Below Water
- Life on Land
Graduate Attributes: - Creator, evaluator and communicator of knowledge
- Digitally Fluent
- Effective global citizen
- Independent and creative thinker
- Socially Responsible
Exit Award only
Students on the MSc (Bioinformatics and Computational Biology) programme who do not reach the average mark of 50% threshold required to progress to the research dissertation will be conferred with a Postgraduate Diploma in Bioinformatics and Computational Biology.
Similarly, students who pass the taught modules and do not wish to complete the research dissertation, may opt to be conferred with a Postgraduate Diploma in Bioinformatics and Computational Biology.
Programme Requirements
Module List
| Code |
Title |
Credits |
| |
| CS6405 | Datamining | 5 |
| CS6501 | Programming for Bioscientists I | 5 |
| CS6502 | Programming for Bioscientists II | 5 |
| MB6300 | Computational Systems Biology | 5 |
| MB6301 | Genomic Data Analysis | 5 |
| MB6302 | Computational Microbiome Analysis | 5 |
| ST3300 | Data Analysis I | 5 |
| ST4400 | Data Analysis II | 5 |
| ST5005 | Introduction to Probability and Statistics | 5 |
| |
| CS6421 | Deep Learning | 5 |
| AM6020 | Open Source Infrastructure for Modelling with Data | 5 |
| AM6016 | Dynamic Machine Learning with Applications | 5 |
| MS6005 | Discrete Mathematics | 5 |
| CS6503 | Introduction to Relational Databases | 5 |
| |
| ST5005 | Introduction to Probability and Statistics | 5 |
| BC6002 | Molecular Biology | 5 |
| BC6003 | Biomolecules | 5 |
| BL6023 | Cells, Biomolecules, Genetics and Evolution | 5 |
| CS6405 | Datamining | 5 |
| CS6502 | Programming for Bioscientists II | 5 |
| MB6300 | Computational Systems Biology | 5 |
| MB6301 | Genomic Data Analysis | 5 |
| MB6302 | Computational Microbiome Analysis | 5 |
| ST3300 | Data Analysis I | 5 |
| ST4400 | Data Analysis II | 5 |
| MS6005 | Discrete Mathematics | 5 |
| CS6501 | Programming for Bioscientists I | 5 |
| |
| ST3300 | Data Analysis I | 5 |
| or ST4400 | Data Analysis II |
| AM6016 | Dynamic Machine Learning with Applications | 5 |
| BC6002 | Molecular Biology | 5 |
| BC6003 | Biomolecules | 5 |
| BL6023 | Cells, Biomolecules, Genetics and Evolution | 5 |
| AM6020 | Open Source Infrastructure for Modelling with Data | 5 |
| CS6405 | Datamining | 5 |
| CS6502 | Programming for Bioscientists II | 5 |
| MB6300 | Computational Systems Biology | 5 |
| MB6301 | Genomic Data Analysis | 5 |
| MB6302 | Computational Microbiome Analysis | 5 |
| |
| Introduction to Relational Databases | |
| Programming for Bioscientists I | |
| |
| AM6016 | Dynamic Machine Learning with Applications | 5 |
| BC6002 | Molecular Biology | 5 |
| BC6003 | Biomolecules | 5 |
| BL6023 | Cells, Biomolecules, Genetics and Evolution | 5 |
| AM6020 | Open Source Infrastructure for Modelling with Data | 5 |
| CS6405 | Datamining | 5 |
| CS6502 | Programming for Bioscientists II | 5 |
| MB6300 | Computational Systems Biology | 5 |
| MB6301 | Genomic Data Analysis | 5 |
| MB6302 | Computational Microbiome Analysis | 5 |
| MS6005 | Discrete Mathematics | 5 |
| |
| CS6503 | Introduction to Relational Databases | 5 |
| CS6501 | Programming for Bioscientists I | 5 |
Examinations
Full details and regulations governing Examinations for each programme will be contained in the Marks and Standards Book and for each module in the Book of Modules.
