澳大利亞國立大學(xué)

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

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 specialization, but also develop exceptional professional skills including communication and teamwork.

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

Career Options

Graduates from ANU have been rated as Australia's most employable graduates and among the most sought after by employers worldwide.

The latest Global Employability University Ranking, published by the Times Higher Education, rated ANU as Australia's top university for getting a job for the fourth year in a row.

Employment Opportunities

The best computing professionals often have knowledge or a wider field than computing alone. BAC graduates will be ideally positioned to shape their chosen sector of the computing industry now and into the future. They will acquire the skills and knowledge to become leaders in the ICT industry.

Opportunities exist in high tech industries, software start-ups computing research and development as well as specialist computing organizations. Examples include, software developers, data mining specialists for insurance, banking and health sectors, human-computer interaction specialists for software services industries, embedded systems developers for defense, and automotive industries.

Learning Outcomes

Upon successful completion, students will be able to:

1. Define and analyze 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. Recognize 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 recognizes the social, legal and ethical implications of their work, to work independently, and self- and peer-assess performance.

9. Demonstrate an understanding of the fundamentals of research methodologies, including defining research problems, background reading and literature review, designing experiments, and effectively communicating results.

10. Apply research methods to the solution of contemporary research problems in computer science.