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Torrens University Australia

  • 43% international / 57% domestic

Master of Software Engineering (Artificial Intelligence, Advanced)

  • Masters (Coursework)

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.

Key details

Degree Type
Masters (Coursework)
Duration
2 years full-time
Course Code
099353A
Study Mode
In person, Online
Intake Months
Sep, Oct

About this course

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.

Study locations

Ultimo Campus, Sydney

Surry Hill, Sydney

Torrens University Language Centre, Sydney

Fitzroy Campus, Melbourne

Flinders Street Campus, Melbourne

Wakefield Street Campus, Adelaide

Pulteney Street Campus, Adelaide

Online

What you will learn

  • 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.