Master of Computational Biology (MC-COMPBIO) // Attributes, outcomes and skills

Intended learning outcomes

On completion of this course the student is expected to achieve:

• A broad education in computational biology with strong foundations in computer science, statistics and biological modelling;
• Significant expertise in a specific area of computational biology;
• The opportunity to integrate and apply this learning to produce solutions for practical biological problems;
• The ability to adapt to a rapidly evolving field;

Generic skills

• The ability to interact in a cross-cultural environment
• The ability to develop time and project management skills
• The ability to exercise critical judgement and operate in both a team environment and/or with a high level of personal autonomy and accountability
• The ability to exercise independent thinking and high-level problem solving skills

Graduate attributes

Graduates will:

• have the ability to demonstrate advanced independent critical enquiry, analysis and reflection in the field of computational biology;
• have a strong sense of intellectual integrity and the ethics of scholarship;
• have in-depth knowledge of the key tools and methods used in computational biology;
• reach a high level of achievement in writing, project or research activities, computationally-based problem-solving and communication;
• be critical and creative thinkers, particularly in relation to manipulation and analysis of large biological data sets, with an aptitude for continued self-directed learning;
• be able to examine critically, synthesise and evaluate knowledge across a range of biological disciplines using a range of advanced computational, statistical and mathematical techniques;
• have a set of flexible and transferable skills for different types of employment;
• be able to initiate and implement constructive change in their communities, including professions and workplaces