The course comprises 90 credits; 60 credits are obtained from taught modules that provide both fundamental and advanced training in genomics data science, 30 credits are obtained from an individual research project. During the first semester, students undertake a number of accelerated-format modules covering molecular and cellular biology, probability and statistics for genomics, programming for biology, genomics techniques, medical genomics, and genomics data analysis. Students also take part in a weekly seminar series which introduces them to the latest developments in genomics data science. Early in the semester, students select their research project topic and begin to engage with the associated scientific literature. During the second semester, students take three core modules including further modules in medical genomics and genomics data analysis, as well as a module in genomics research methods. Students also choose three optional modules from a wide selection of topics across the life science, mathematical, and computational disciplines. These options include: applied and advanced immunology, optimisation, data visualisation, Bayesian modelling, bioinformatics, probabilistic models for molecular biology, mathematical molecular biology, and web and network science. During this semester students complete the literature review component of their project. Following semester two exams, students begin the research phase of their MSc where they work full-time on their research project. At the end of this period, each student submits a manuscript based on their research and gives an oral presentation.
Curriculum Information
Curriculum information relates to the current academic year (in most cases).
Course and module offerings and details may be subject to change.
Year 1 (90 Credits)
- Optional MA5114: Programming for Biology - 5 Credits - Semester 1
- Optional MA5108: Statistical Computing with R - 5 Credits - Semester 1
- Optional MA5116: Introductory Probability for Genomics - 5 Credits - Semester 1
- Optional BI5107: Introduction to Molecular and Cellular Biology - 5 Credits - Semester 1
- Optional CT5141: Optimisation - 5 Credits - Semester 1
- Required BI5102: Genomics Techniques 1 - 5 Credits - Semester 1
- Required MA5106: Medical Genomics 1 - 5 Credits - Semester 1
- Required MA5111: Genomics Data Analysis I - 5 Credits - Semester 1
- Optional MA461: Probabilistic Models for Molecular Biology - 5 Credits - Semester 2
- Optional ST412: Stochastic Processes - 5 Credits - Semester 2
- Optional ST417: Introduction to Bayesian Modelling - 5 Credits - Semester 1
- Optional CT5100: Data Visualisation - 5 Credits - Semester 2
- Optional MA216: Mathematical Molecular Biology II - 5 Credits - Semester 2
- Optional MA324: Introduction to Bioinformatics (Honours) - 5 Credits - Semester 2
- Optional CS4423: Networks - 5 Credits - Semester 2
- Optional REM508: Graduate Course in Basic and Advanced Immunology - 5 Credits - Semester 2
- Optional MA5118: Advanced Chemoinformatics - 5 Credits - Semester 2
- Optional CT5113: Web and Network Science - 5 Credits - Semester 2
- Required MA5117: Genomics Research Methods - 5 Credits - Semester 2
- Required MA5107: Medical Genomics II - 5 Credits - Semester 2
- Required MA5112: Genomics Data Analysis II - 5 Credits - Semester 2
- Required MA5105: Genomics Project - 30 Credits - Semester 2
