Master of Software Engineering (Artificial Intelligence, Advanced)

Entry Requirements

Australian bachelor’s degree in a relevant field of study or equivalent and

Academic IELTS 6.5 (no band less than 6.0) or equivalent

OR alternative entry requirements may be available. Alternative entry may include assessment and approval of prior study, or successful completion of a readiness assessment.

Course Details

A Master of Software Engineering (Artificial Intelligence, Advanced) is for experienced software engineers looking to significantly deepen their knowledge and pursue specialist careers in the field of AI. It covers advanced software engineering techniques, challenging the foundational principles of the discipline and exploring the boundaries of software design.

While the course is founded on strong traditional and cutting-edge software engineering know-how, such as programming, maths and statistical knowledge, you’ll also investigate ethics, social responsibility and cognitive psychology throughout your studies. The Master of Software Engineering (Artificial Intelligence, Advanced) is tailored to your unique needs and creative challenges. You’ll have the opportunity to investigate advanced software engineering techniques, challenge the foundational principles of your chosen discipline and explore the boundaries of software design. Under the expert guidance of one-on-one professional mentors and our industry-leading faculty, you’ll identify and solve complex artificial intelligence software engineering problems.

Learning outcomes and Work-Integrated Learning

Master and combine cognitive, technical and creative skills.

Investigate advanced software engineering techniques.

Explore and question the foundational principles of your field.

Master data science, machine learning and deep learning skills.

Push the boundaries of software design in search of game-changing advances.

Undertake 600 hours of experience by completing an internship or working on a live brief.

Career opportunities

We’ve designed this course to address the needs of a rapidly evolving field. On graduation, you’ll be a global leader in AI, equipped to take on the most challenging projects, manage and inspire teams, and make a major contribution to your industry.

Potential career paths

Machine Learning Engineer

Software Engineer

Systems Architect

Software Developer