Torrens University Australia
Master of Software Engineering (Artificial Intelligence)
- Delivery: Face to Face
- Study Level: Postgraduate
- Duration: 18 months
- Course Type: Master's
Broaden your skillset with a specialisation in artificial intelligence and take the next step in your career.
Course overview
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.
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 direct projects and 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.
Key facts
Fitzroy
Sydney
1st June, 2026
14th September, 2026
What you will study
This course comprises of ten core subjects and one elective subject including one 20-credit point subject.
Complete ten core subjects. Additionally, you’re required to select one elective from the electives tab.
- Software Engineering Principles
- Human Centred Design
- Secure by Design
- Software Development Management
- Mathematical Foundations of Artificial Intelligence
- Research Methodologies
- Intelligent Systems
- Machine Principles
- Deep Learning
- Technology - Work Integrated Learning
Entry requirements
Applicants must have one of the following:
- AQF Level 7 (bachelor's degree) or above from an Australian University in a relevant field of study.
- Work-life experience demonstrating the ability to undertake study at the required level which may include approval of prior study or successful completion of a readiness assessment.
Recognition of Prior Learning
If you have already completed a qualification or gained skills through life or work experience, you may be able to credit this against your degree with Torrens University Australia. Contact the university for more information.
Outcomes
Learning outcomes
- 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.
- Undertake 240 hours of experience by completing an internship or working on a live brief.
Career outcomes
The Master of Software Engineering (Artificial Intelligence) gives you the capability to seek senior level employment in either generalist or niche roles within the software development industry. The artificial intelligence specialisation gives you a competitive advantage in your career.
Potential career paths:
- Senior software engineer
- Senior systems engineer
- AI researcher
- Technical director
- Development director
- Systems architect
- Data scientist
Fees and FEE-HELP
Indicative price per 10-credit-point subject in 2025: $4,019 (domestic full-fee paying place)
Estimated total price in 2025: $48,228 (domestic full-fee paying place)
Fees are calculated based on a full-time study load of 11 subjects, including one 20-credit-point subject.
A student’s fee may vary depending on:
- The number of subjects studied per term.
- The choice of major or specialisation.
- Choice of subjects.
- Credit from previous study or work experience.
- Eligibility for government-funded loans.
You may also need to pay the student services and amenities fee.
Student fees shown are subject to change. Contact the university directly to confirm.
FEE-HELP loans are available to assist eligible full-fee paying domestic students.