Bachelor of Computer Science Majoring in Artificial Intelligence

3 Years On Campus Bachelors Program

Swinburne University of Technology

Program Overview

The Bachelor of Computer Science (majoring in Artificial Intelligence) at Swinburne University of Technology gives you a strong foundation in computing, paired with in-depth study in AI and software development. It’s the ideal degree if you’re passionate about coding, machine learning, cloud systems, and shaping the future of technology.

This program is designed for students who enjoy problem-solving, working with tech, and want hands-on experience building intelligent systems and applications that make an impact.

Curriculum Structure

Year One

Your first year focuses on the essentials of computing. You’ll study subjects like Introduction to Programming (COS10009), Computer Systems (COS10004), and Networks and Switching (TNE10006). These units build your programming skills and give you a solid understanding of hardware, software, and network foundations. You’ll also work on practical, project-based tasks in labs — learning to think like a computer scientist from day one.

Year Two

In your second year, you’ll advance your technical skills through units such as Object-Oriented Programming (COS20007) and take on collaborative projects like Computing Technology Inquiry Project (COS10026) or Technology in an Indigenous Context Project (COS10025). You’ll deepen your knowledge of algorithms, data structures, and system design while exploring how computing technologies are applied in real-world contexts.

Year Three

Your final year is where you specialise in Artificial Intelligence. Core units include Introduction to Artificial Intelligence (COS30019), Applied Machine Learning (COS30082), and Artificial Intelligence Engineering (COS40007). You’ll also complete a capstone or major project, applying machine learning techniques to design intelligent systems and develop practical solutions — giving you the confidence and experience to step into your first professional role.

Focus Areas

Artificial Intelligence and Machine Learning
Cloud Computing Architecture
Software and Systems Design
Real-world, industry-linked projects

Learning Outcomes

By the end of the program, you’ll be able to:

Design, develop and implement intelligent software systems
Apply programming, algorithmic and machine learning techniques
Evaluate and integrate cloud architectures
Communicate and collaborate effectively within technology teams

Professional Recognition

Swinburne’s Bachelor of Computer Science is professionally accredited by the Australian Computer Society (ACS), ensuring your degree meets national industry standards.

Reputation and Employability

Swinburne University has been ranked #1 in Victoria for full-time employment and median graduate salaries in the 2024 Graduate Outcomes Survey.

Its Computing and Information Technology programs have also earned 5 stars for learner engagement and are ranked first in Victoria for overall student experience — a reflection of the strong industry connections, hands-on learning, and career outcomes that make Swinburne stand out.

Experiential Learning (Research, Projects, Internships etc.)

From the moment you enrol, you’ll dive straight into hands-on, skills-based learning — not just lectures and theory, but real systems, real code, and real labs. At Swinburne, you’ll work in professional computing environments, use industry-standard tools, and collaborate on projects that mirror what’s happening in today’s AI world. You’ll also benefit from guaranteed work-integrated learning — whether that’s a placement, internship, or industry-linked project — ensuring your studies stay connected to the real world.

Here’s what that actually means in practice:

You’ll complete multiple industry-linked projects built into your course, giving you genuine experience in designing, developing, and deploying AI systems.
You’ll take part in a guaranteed Work Integrated Learning opportunity — such as a professional placement, internship, or an industry project — as a formal part of your degree.
Your coursework includes subjects like Introduction to Artificial Intelligence, Applied Machine Learning, Artificial Intelligence for Engineering, and Intelligent Systems — all focused on building real-world solutions rather than just writing essays.
You’ll work on cloud computing, software architecture, and database design projects, dealing with large-scale systems instead of simplified classroom examples.
Collaboration is a big part of your learning. Many of your classes are team-based “Project” or “Innovation Project” units, where you’ll learn how to design systems, solve problems creatively, and function as part of a professional team.
You’ll study in labs equipped with industry-level hardware and software, supported by Swinburne’s powerful computing infrastructure and resources.

Because of this strong practical focus, the degree sets you up perfectly for roles like machine learning engineer, computer vision engineer, and data scientist.

Why this is a great choice

This isn’t just a degree about studying AI — it’s about doing AI. You’ll graduate with real software, real projects, and real workplace experience. By the time you finish, you’ll have the skills, confidence, and portfolio to step straight into the tech industry.

Progression & Future Opportunities

Graduate Outcomes Summary
Graduates from this program are ready to take on roles that drive innovation in artificial intelligence, machine learning, and advanced computing. You could find yourself working as a Machine Learning Engineer, Computer Vision Engineer, or Data Scientist — all of which are in strong demand. These opportunities are strengthened by Swinburne’s strong industry connections and hands-on learning approach.

Progression & Future Opportunities

• University employment support:
Swinburne provides dedicated career services through its Careers & Employment team and the SwinEmploy platform, where students can explore job boards, internships, and graduate roles. The university actively helps students prepare for the workforce with tailored guidance and resources.

• Employment outcomes and salary potential:
Graduates from Swinburne’s computer science programs enjoy excellent career outcomes, with over 85% securing employment within four months of graduation.
External sources also indicate that Swinburne graduates earn an average base salary of around AUD 111,000, with many professionals in advanced computing roles reaching significantly higher salary brackets.

• Industry partnerships and real-world experience:
Every student in this degree benefits from Swinburne’s guaranteed Work Integrated Learning (WIL) component, which includes placements, internships, or industry-linked projects. Swinburne has built an impressive network of over 2,500 industry partners and has delivered more than 50,000 WIL experiences, ensuring students graduate with practical, career-ready skills.

• Professional accreditation and global recognition:
This major is accredited by the Australian Computer Society (ACS), meaning it meets national standards for professional computing education. Combined with Swinburne’s international reputation, this gives graduates a competitive edge both in Australia and globally.

• Graduate readiness:
By the time you finish this degree, you’ll have not only strong technical expertise but also valuable real-world experience and industry connections — giving you a confident start in your career journey.

Further Academic Progression
After completing your bachelor’s degree, there are several ways to continue your academic and professional growth:

Master of Data Science or related fields: Deepen your expertise in AI, machine learning, and analytics, preparing for leadership or specialist roles.
Honours year in Computer Science or AI: Ideal for students interested in research or pursuing a PhD in the future.
Postgraduate certifications: Short, specialised courses in areas like machine learning, computer vision, or AI engineering can help you refine your skills and stand out in competitive industries.