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Master of Science (Bioinformatics) (MC-SCIBIF) // Attributes, outcomes and skills
You’re currently viewing the 2023 version of this course
About this course
Contact
Principal Coordinator
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
Upon completion of this course, students should be able to:
- Integrate knowledge of biological systems with bioinformatic analytical approaches;
- Apply programming and algorithmic theory and practical experience in a bioinformatics setting;
- Employ statistical theory in bioinformatics analytical settings;
- Communicate scientific information in a variety of written and oral formats;
- Combine reasoning and problem-solving skills to work independently within a bioinformatics research setting.
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: 10 November 2023