Bachelor of Computer Science (Professional) Majoring in Artificial Intelligence

4 Years On Campus Bachelors Program

Swinburne University of Technology

Program Overview

The Bachelor of Computer Science (Professional) with a Major in Artificial Intelligence at Swinburne University combines a full professional degree with a 12-month paid work placement, giving you real-world experience alongside a strong foundation in software development and computer science. It’s ideal for anyone curious about how machines learn, computer vision, cloud systems, or who wants to turn that curiosity into a career in AI, machine learning, or data-driven innovation.

Curriculum Structure

Year 1 – Your first year lays the groundwork for everything to come. You’ll start by understanding how computers work and the logic behind programming. Units like Computer Systems (COS10004), Introduction to Programming (COS10009), and Web Technology Project (COS10026) teach you how hardware and software interact and set you up to build real applications. In the second semester, you’ll explore Technology in an Indigenous Context Project (COS10025), Object-Oriented Programming (COS20007), and Networks & Switching (TNE10006). By the end of Year 1, you’ll have a strong foundation in programming and an understanding of how computing fits into both society and technology systems.

Year 2 – In your second year, you’ll move into more specialized areas. You’ll study Database Design Project (COS20031), Introduction to Artificial Intelligence (COS30019), and Intelligent Systems (COS30018), alongside Computing Technology Innovation Project (COS30049). This year focuses on designing AI systems, managing data, and understanding how innovation projects work in real-world technology contexts.

Year 3 – Professional Work Placement – One of the biggest highlights of this degree is the full-year industry placement. Units such as Work Experience in Industry A (WEI20001) and Integrated Professional Placement (ICT20013) give you full-time paid work experience that counts towards your degree. By graduation, you’ll have practical industry exposure and real-world skills that set you apart.

Year 4 – Your final year is all about bringing everything together. You’ll complete major capstone projects with Computing Technology Project A (COS40005) and Project B (COS40006), and dive deeper into AI with Applied Machine Learning (COS30082) and Artificial Intelligence Engineering (COS40007). By the end of this year, you’ll have experience designing complex AI systems and delivering solutions with real-world impact.

Focus Areas

Artificial intelligence engineering
Machine learning applications
Software architecture and cloud systems
Work-integrated learning through professional placement
Industry-linked projects

Learning Outcomes

Graduates of this program will be able to:

Design, develop, and evaluate computer systems and AI solutions
Apply machine learning and AI engineering techniques and tools
Manage medium-to-large scale software systems
Work effectively in teams and professional industry settings
Transition smoothly into computing and AI roles

Professional Alignment

This degree is accredited by the Australian Computer Society (ACS) at the professional level, ensuring your skills meet industry standards.

Reputation & Employability

Swinburne University is ranked among the top 100 universities globally for Computer Science & Engineering (ARWU 2022), and 85.1% of students secure employment within 4 months of graduating.

Experiential Learning (Research, Projects, Internships etc.)

If you’re thinking about applying for the Bachelor of Computer Science (Professional), Major in Artificial Intelligence at Swinburne University of Technology, this program offers much more than just theory – it’s packed with hands-on, real-world learning experiences. From your very first day, you’ll work with industry-standard software, take part in live projects, access cutting-edge labs, and even complete a 12‑month paid work placement built into your degree. These experiences are designed to give you genuine professional skills in AI and machine learning, so you graduate ready for the workforce.

Here’s what you can expect in terms of experiential learning at Swinburne in this program:

Industry-linked projects: Six professionally-focused projects are embedded in the degree, giving you the chance to tackle real-world challenges.
12-month paid work placement: As part of the “Professional” version of the degree, you’ll gain a full year of industry experience before you even graduate.
State-of-the-art labs: Access cutting-edge technology platforms and labs designed specifically for computer science and AI studies.
Practical skills development: Explore cloud computing architectures, software systems design, and AI engineering techniques, building skills that directly translate to industry roles.
Strong industry integration: Through Swinburne’s Work Integrated Learning (WIL) program, you’ll benefit from internships, placements, and industry-led projects built straight into your curriculum.
Capstone projects: Work on meaningful assignments, like the “Smart Parking for Smart Cities” application, where you’ll collaborate in teams and apply your skills to real problems.
Professional accreditation: The program is accredited by the Australian Computer Society, confirming it meets professional industry standards.

In short, this isn’t just about studying AI concepts—you’ll be building, coding, deploying, collaborating, and working in real-world environments, leaving your degree with experience that sets you apart in your career.

Progression & Future Opportunities

Progression & Future Opportunities
Graduates from this program are well-prepared to step into roles where they design, build, and optimise AI systems. Typical career paths include Machine Learning Engineer, Computer Vision Engineer, and Data Scientist.

Career support: You’ll have access to dedicated university services, including the Careers & Employability team, which provides seminars, workshops, and employer sessions to help boost your job readiness.
Employment outcomes: Around 85% of graduates from the relevant computer science professional degree secure employment within four months of graduating.
Graduate salary potential: Five years after graduation, you can expect an average salary of about AUD 86,100 in Melbourne, which is above the national average of AUD 74,800 for this discipline.
University–industry partnerships: The program includes a 12-month paid work placement as part of six professionally-focused, industry-linked projects. Swinburne also collaborates with companies such as NEUON AI Sdn Bhd, giving students opportunities to work on real-world AI and deep learning projects.
Accreditation value: The degree is accredited by the Australian Computer Society (ACS), enhancing the recognition of your qualification within the industry.
Graduation experience: By the end of the program, you’ll have completed a full 4-year professional bachelor degree, including a 12-month paid work placement and a hands-on AI major covering machine learning, AI engineering, cloud computing, and software architectures.

Further Academic Progression
This degree also provides a solid foundation for further studies. Graduates can pursue a Master of Information Technology (Professional Computing) or other postgraduate programs in IT and AI, explore specialized research in machine learning or AI, or even consider PhD-level study if they’re interested in deep research. With strong industry connections and accreditation, you’ll graduate with both practical experience and theoretical knowledge to build your future on.