Bachelor of Software Engineering in Artificial Intelligence, Torrens University

Adelaide, South Australia

36 Months

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About this course

This course offers a comprehensive introduction to software engineering with a focus on artificial intelligence. It prepares students for careers as AI-expert developers by covering topics like machine learning, computer vision, speech recognition, natural language processing, and robotics. Students develop both technical skills in programming languages such as C++ and C#, and soft skills like teamwork, negotiation, and research. The course emphasizes solving complex AI problems through a mix of traditional and cutting-edge software engineering principles, including ethics, social responsibility, and cognitive psychology. Flexible study modes—online, on campus, or blended—allow students to tailor their learning experience. Additionally, students undertake a work-integrated learning component, gaining 360 hours of industry experience via internships or real-world projects. Developed in collaboration with IBM, the course provides access to key software and resources, preparing students to become in-demand AI specialists with skills in data science, algorithm design, and project management.

Why this course is highly recommended

If you're looking to become a highly skilled AI professional, this course equips you with industry-relevant technical and soft skills. The emphasis on hands-on experience through internships and real-world projects ensures you'll gain practical insights. Collaboration with IBM and access to advanced software resources enhance your learning environment. The flexible study options allow you to balance studies with your lifestyle, and the broad curriculum covers the latest AI developments like machine learning, natural language processing, and deep learning. The career pathways, including roles like machine learning engineer or AI specialist, come with attractive salaries, making this program an excellent choice for future-ready AI experts seeking global opportunities.

Specialisation

The course features a range of core and specialisation subjects. In the first two years, students cover fundamental subjects like maths, programming, algorithms, and data structures, progressing to AI-specific topics such as concepts in AI, probabilistic models, machine learning principles, and data mining. The final year emphasizes applied AI topics including natural language processing, speech recognition, deep learning, and real-world applications of AI like robotics and computer vision. Electives like cloud computing, DevOps, interface development, and design thinking offer interdisciplinary breadth. This structure ensures students build a solid foundation in AI while acquiring practical skills and knowledge applicable to diverse industry needs.

Course fees

Application fees

1st year tuition fees

18.46L

Living cost

Degree requirements

Candidates need to have completed a secondary school certificate or equivalent, or have relevant work or life experience demonstrating the ability to undertake the course. International students are required to have an IELTS score of 6.0 with no band less than 5.5, or equivalent. The program is delivered at AQF Level 7 and typically runs for 3 years full-time, with options for part-time or accelerated study.

English language test

DUOLINGO

PTE

TOEFL

IELTS

Career prospects

Graduates of this course will be prepared for roles such as machine learning engineer, software engineer, systems architect, data engineer, and AI specialist. Salaries for these roles are competitive, with ranges from approximately AUD 100,000 to over AUD 238,000 depending on the position and experience. The skills gained also enable graduates to lead AI projects, work in innovative tech companies, and contribute to sectors like robotics, data science, and natural language processing across the globe.

FAQs

What study modes are available?

You can choose online, on-campus, or blended study modes, providing flexibility to suit your lifestyle.

How many hours of industry experience are required?

Students undertake 360 hours of work-integrated learning through internships or live briefs.

What programming languages will I learn?

The course covers fundamentals of C++ and C# programming languages.