MSc Genomic Medicine with Data Science(online)

Year 2

(Award available for year: Master of Science)

Learning outcomes

On completion of the year/programme students should have:

1. Demonstrated an integrated critical knowledge and understanding of the role of genomics and data analytics in facilitating precision medicine;
2. Demonstrated a critical understanding and knowledge of the current science underpinning the range of high throughput technologies that are being used to interrogate the human genome and its functions including, genomics, transcriptomics, proteomics, metabolomics, clinical trial and genetic epidemiological data;
3. Applied computational tools and quantitative methods including bioinformatics, Python and R to analyse and interpret large biomedical data sets;
4. Demonstrated a critical knowledge of the application of machine learning methods and predictive analytics and how these are contributing to precision medicine;
5. Demonstrated a critical knowledge and understanding of the way in which genotypic and phenotypic data sets are informing the growing knowledge of the aetiology of and therapeutic possibilities for a range of diseases;
6. Demonstrated knowledge and understanding of the application of ethical principles for handling large scale data sets relevant to precision medicine;
7. Critically evaluated literature and/or data to proactively formulate ideas and hypotheses to solve biological problems and developed, implemented and executed plans by which to evaluate these;
8. Demonstrated competence in the ability to communicate information and defend ideas in writing and verbally.

Transferable (key) skills

Masters (taught programme) students will have had the opportunity to acquire the following abilities, as defined in the modules specified for the programme:

- the skills necessary to undertake a higher research degree and/or for employment in a higher capacity in industry or area of professional practice;
- evaluating their own achievements and those of others;
- self direction and effective decision making in complex and unpredictable situations;
- independent learning and the ability to work in a way which ensures continuing professional development;
- critically engage in the development of professional/disciplinary boundaries and norms.

Assessment

Achievement for the degree of Masters (taught programme) will be assessed by a variety of methods in accordance with the learning outcomes of the modules specified for the year/programme and will include:

- evidencing an ability to conduct independent in-depth enquiry within the discipline;
- demonstrating the ability to apply breadth and/or depth of knowledge to a complex specialist area;
- drawing on a range of perspectives on an area of study;
- evaluating and criticising received opinion;
- in-depth analysis of two large genomic datasets using a range of analytical techniques.