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Master of Science (Bioinformatics) (MC-SCIBIF) // Attributes, outcomes and skills
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About this course
- Overview
- Entry and participation requirements
- Attributes, outcomes and skills
- Course structure
- Further study
Contact
Principle Coordinator
Daniel Park
Currently enrolled students:
- General information: https://ask.unimelb.edu.au
- Contact Stop 1
Future students:
- Further information: http://science.unimelb.edu.au/
Principal Coordinator
Daniel Park
Intended learning outcomes
The objectives of this course are to provide students with:
- a broad education in bioinformatics with strong foundations in computer science, biology, and statistics;
- significant experience in a specific area of bioinformatics;
- ability to conduct independent research in bioinformatics; and
- potential to proceed to a PhD degree.
Graduate attributes
Graduates will:
- have the ability to demonstrate advanced independent critical enquiry, analysis and reflection;
- have a strong sense of intellectual integrity and the ethics of scholarship;
- have in-depth knowledge of their specialist discipline(s);
- reach a high level of achievement in writing, research or project activities, problem-solving and communication;
- be critical and creative thinkers, with an aptitude for continued self-directed learning;
- be able to examine critically, synthesise and evaluate knowledge across a broad range of disciplines;
- have a set of flexible and transferable skills for different types of employment; and
- be able to initiate and implement constructive change in their communities, including professions and workplaces.
Last updated: 3 March 2021