Graduates will be uniquely trained to integrate knowledge and skills from the biological sciences with mathematical, computational and data analytic skills. This multi-disciplinary course covers a range of biological, mathematical and computer science topics:
- Medicine: the genetic basis of rare and common human diseases and how genomics uncovers genes that contribute to illness.
- Agri-bioscience: the genetic and biological origins of agriculture; food security and sustainable development.
- Microbiology: microbial genetics and key medical and environmental impacts of microorganisms.
- Evolution: evolutionary biology, including natural selection and the genetic mechanisms that shape evolution.
- Informatics: computer programming and mathematical and algorithmic methods to solve problems in molecular genetics.
- The final year project will allow students to apply their knowledge in a research laboratory.
Students will benefit from group learning in a small class size, and will graduate with a broad range of skills including communication, teamwork, critical thinking and problem solving. These skills are called transferable because they will transfer and be useful in a broad range of careers post-graduation.
Your Course Year by Year
YEAR ONE
•Biology
• Chemistry: Molecular Science
• Mathematics (Honours level)
• Computer Science
• Introduction to Genetics & Genomics
• Biomedical Genomics: Research and Communication
YEAR TWO
• Genetics, Medicine & Disease
• Molecular & Cellular Biology
• Protein Structure & Function
• Plant & Agribiosciences
• Microbiology
• Evolution
• Mathematics (Mathematical Molecular Biology, Statistics in Data Science)
• Biomedical Genomics: Seminars and Essays
YEAR THREE
• Molecular & Cellular Biology
• Microbial Genomics
• Evolutionary Biology
• Human Genetics
• Plant and Agricultural Genetics
• Bioinformatics
• Genomic Analysis
• Research & Career Development Skills
• Plus Electives: Developmental Biology, Applied Statistics, Programming, Mathematical Molecular Biology
YEAR FOUR
• Research Project
• Literature Review
• Advanced Chromosome Biology
• Molecular & Cellular Biology
• Biotechnology
• Plant Genetics & Systems Biology
• Current Topics in Biosciences
• Medical Genomics & Bioethics
• Plus Electives: Machine Learning and Data Mining, Information Management, Probabilistic Models for Molecular Biology, Microbial Gene Regulation