Updating Results

Torrens University Australia

  • 43% international / 57% domestic

Master of Software Engineering (Artificial Intelligence)

  • Masters (Coursework)

The Master of Software Engineering (Artificial Intelligence) responds to industry demand for top-tier software engineers and developers skilled in machine learning, computer vision and speech recognition.

Key details

Degree Type
Masters (Coursework)
Study Mode
In person, Online
Intake Months
Jun, Sep

About this course

The Master of Software Engineering (Artificial Intelligence) responds to industry demand for top-tier software engineers and developers skilled in machine learning, computer vision and speech recognition. Broaden your skillset with a specialisation in artificial intelligence and take the next step in your career.

During this course, you will delve into the ever-evolving landscape of technology and gain an extensive understanding of the vital role of artificial intelligence. Anchored in machine learning, this program fortifies core software engineering skills, preparing you for impactful project work. It's not just about theory; it's about becoming a hands-on leader who can not only direct projects but also manage teams at scale. To do so, you will explore advanced software engineering techniques to tackle complex problems and propose technical solutions. Within this, you will understand the role of innovation and ethical practice as you apply a fusion of cognitive, technical and creative skills. You will also complete a series of elective subjects, allowing you to explore other learning areas and shape your expertise.

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

  • Analyse and integrate cognitive and technical skills from the software engineering body of knowledge to tackle complex commercial software engineering problems with innovation and ethical practice.
  • Critically analyse problem sets to synthesise acute software engineering solutions and communicate recommendations, conclusions and professional decisions to both expert and novice audiences.
  • Master and synthesise cognitive, technical and creative skills from the field of artificial intelligence necessary to effectively & efficiently solve or investigate problem sets.
  • Demonstrate sound judgement, non-partisanship and accountability as part of a leadership role in a team to achieve effective planning, management, execution and communication.
  • Communicate technical solutions, recommendations and workarounds efficiently to a variety of audiences, including diverse multicultural groups.
  • Synthesise and abstract mathematical concepts, artificial intelligence fundamentals and industry best practices to solve varied commercial problems.
  • Possess a comprehensive and in-depth knowledge of Artificial Intelligence principles and techniques that includes understanding of recent developments.
  • Research complex problem sets to advance the field of artificial intelligence at the intersection of health, transportation, manufacturing or finance.