If you want to explore the cutting edge of research in computing and gain skills that will enable you to development software that tackles complex problems then you are looking at the right degree.

This is a unique, interdisciplinary program that will prepare you to be a future leader of the information and communications technology revolution. It also is a great pathway to a PhD.

As a degree accredited by the Australian Computer Society you will not only learn advanced computing techniques and have the opportunity to complete a unique specialisation, but also develop exceptional professional skills including communication and teamwork.

You’ll work alongside distinguished researchers at ANU and pursue research projects in your own area of interest.

While some of our students are developing code which controls unmanned aerial vehicles, others are busy writing algorithms to mine through Petabytes of data.  If mastering challenging projects is your thing, the ANU Bachelor of Advanced Computing (Research and Development) can launch you into a spectacular career

Innovative solutions come to those working in R&D. Graduates can choose to work in ICT R&D in the public or private sector, and in academia.

They can work across a range of industries in a variety of roles. Examples include:

• Data Mining Specialist
• Big Data Analyst
• Human-Computer Interaction Specialist,
• Software Developer
• Embedded systems developer
• Network Architect
• Systems Analyst
• Computer Engineer
• Advanced Software Solutions Engineer
• Software Architect

Our graduates work in many organisations including:

• IBM
• Google
• Microsoft
• Yahoo
• Intel
• Price Waterhouse Coopers
• Accenture Australia
• Bloomberg
• National Australia Bank
• Citigroup
• Deloitte
• Unisys
• Australian Government (Australian Taxation Office, Reserve Bank of Australia, Department of Broadband, Communication and the Digital Economy, etc.)

Learning Outcomes

1. Define and analyse complex problems, and design, implement and evaluate solutions that demonstrate an understanding of the systems context in which software is developed and operated including economic, social, historical, sustainability and ethical aspects
2. Demonstrate an operational and theoretical understanding of the foundations of computer science including programming, algorithms, logic, architectures and data structures
3. Recognise connections and recurring themes, including abstraction and complexity, across the discipline
4. Adapt to new environments and technologies, and to innovate
5. Demonstrate an understanding of deep knowledge in at least one area of computer science
6. Communicate complex concepts effectively with diverse audiences using a range of modalities
7. Work effectively within teams in order to achieve a common goal
8. Demonstrate commitment to professional conduct and development that recognises the social, legal and ethical implications of their work, to work independently, and self- and peer-assess performance
9.  Demonstrate a deep understanding of the fundamentals of research methodologies, including defining research problems, background reading and literature review, designing experiments, and effectively communicating results
10. Proficiently apply research methods to the solution of contemporary research problems in computer science, and
11.  Demonstrate an understanding of research processes including research proposals, article reviewing and ethics clearance.