Bachelor of Software Engineering (Artificial Intelligence)

Entry Requirements

Successful completion of at least 0.25 EFTSL at AQF level 6, 0.5 EFTSL at AQF level 5 or above, or equivalent

OR

Australian secondary school certificate, or equivalent Senior Secondary qualification, or Baccalaureate Diploma

Academic IELTS 6.0 (no band less than 5.5) 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 Bachelor of Software Engineering (Artificial Intelligence) provides the technical abilities and core soft skills required for a career in AI. You’ll cover topics including machine learning, computer vision and speech recognition, as well as concepts like future thinking and market insights. You’ll build a suite of skills and experience that will prepare you for a career as an AI-expert developer.

This course offers a range of technical subjects with a focus on the major areas of AI – from natural language processing to robotics. You’ll identify and solve complex artificial intelligence software engineering problems and develop skills that are increasingly the mainstay of software engineering. The course is founded on strong traditional and cutting-edge software engineering know-how, such as programming, maths and statistical knowledge, as well as ethics, social responsibility and cognitive psychology. Working in teams, you’ll develop collaboration, negotiation and research skills that you’ll take with you to the professional environment.

Learning outcomes and Work-Integrated Learning

Explore different models for pattern recognition.

Master the fundamentals of machine learning.

Discover the many important uses of data mining and visualisation.

Work with natural language processing and speech recognition.

Undertake 360 hours of experience by completing an internship or working on a live brief.

Career opportunities

You’ll graduate with the in-demand skills of AI, design thinking, project and time management, interpersonal communication, ready to lead teams yourself and manage exciting creative AI projects - anywhere in the world.

Potential career paths

Machine Learning Engineer

Software Engineer

Systems Architect

Data Engineer