Master of Software Engineering (Artificial Intelligence)
Sydney, Australia
Master degree
DURATION
LANGUAGES
English
PACE
APPLICATION DEADLINE
EARLIEST START DATE
STUDY FORMAT
On-Campus
Key Summary
About: The Master of Software Engineering (Artificial Intelligence) develops skills in machine learning, computer vision and speech recognition, anchored in software engineering practice. You'll study software engineering techniques, applied AI, model development, systems design, innovation, ethics and team leadership. Projects and electives let you shape expertise across applied AI, deep learning and data engineering.
Career Outcomes: Graduates can pursue roles such as AI engineer, machine learning engineer, computer vision specialist, speech recognition developer, software engineering lead, product manager, or R&D engineer. These paths span industry, startups and research labs, focusing on model deployment, scalable systems, AI ethics and innovation management.
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.
