Bachelor of Engineering (Honours)(Robotics and Mechatronics Engineering) / Science (Computer Science)

5 Years On Campus Bachelors Program

University of New South Wales

Program Overview

The Bachelor of Engineering (Honours) (Robotics and Mechatronics Engineering) / Bachelor of Science (Computer Science) at the University of New South Wales (UNSW) is a comprehensive five-year dual degree designed for students who want to combine advanced engineering expertise with cutting-edge computing knowledge. This program prepares graduates to design intelligent systems, develop autonomous technologies, and solve complex challenges at the intersection of robotics, artificial intelligence, software development, and automation.

Curriculum Structure:

Year 1 – Foundations in Engineering and Computer Science
Students build a strong foundation in mathematics, physics, programming, and engineering design. Core courses such as Engineering Mechanics, Programming Fundamentals, Mathematics for Engineering, and introductory computer science subjects develop analytical thinking, problem-solving abilities, and technical skills essential for future study.

Year 2 – Core Robotics, Electronics, and Computing Systems
Students deepen their understanding of both engineering and computing through courses such as Robotics, Data Structures and Algorithms, Electronics, and Object-Oriented Programming. Practical laboratory work and design projects help students develop the ability to integrate software and hardware systems.

Year 3 – Intelligent Systems and Mechatronics Applications
The curriculum advances into specialized areas including Control Systems, Artificial Intelligence, Embedded Systems, Computer Systems Fundamentals, and Sensors and Actuators. Students learn how intelligent machines interact with the physical world while strengthening their software development and systems integration capabilities.

Year 4 – Advanced Robotics and Computer Science Specialisation
Students explore advanced topics such as Machine Learning, Autonomous Systems, Computer Vision, Software Engineering, and Mechatronic Systems Design. Team-based projects and practical applications prepare students for complex engineering and computing challenges in industry.

Year 5 – Professional Practice and Capstone Experience
The final year focuses on advanced electives and a major capstone project that integrates robotics, mechatronics, and computer science knowledge. Students undertake courses such as Robotics Systems Design, Advanced Machine Learning, and emerging technology electives while developing innovative solutions to real-world problems.

Focus Areas:

  • Robotics Engineering
  • Mechatronics and Automation
  • Artificial Intelligence and Machine Learning
  • Embedded Systems
  • Autonomous Systems
  • Software Engineering
  • Control Systems and Intelligent Technologies

Learning Outcomes:
Graduates will develop:

  • The ability to design and implement advanced robotic and autonomous systems
  • Strong software development and computational problem-solving skills
  • Expertise in artificial intelligence, machine learning, and embedded technologies
  • Knowledge of mechatronic systems integration and automation
  • Project management and interdisciplinary teamwork capabilities
  • Critical thinking, innovation, and technical communication skills

Professional Alignment (Accreditation):
The Engineering (Honours) component is accredited by Engineers Australia, ensuring graduates meet internationally recognized professional engineering standards and are well prepared for engineering practice in Australia and globally.

Reputation (Employability Rankings):
UNSW is internationally recognized for excellence in engineering, computer science, and technology education. Consistently ranked among the world's leading universities for engineering, computing, and graduate employability, UNSW provides students with access to world-class facilities, industry partnerships, and research opportunities that enhance career prospects across rapidly growing technology sectors.

Experiential Learning (Research, Projects, Internships etc.)

At the University of New South Wales (UNSW), students pursuing the Bachelor of Engineering (Honours) in Robotics and Mechatronics Engineering and the Bachelor of Science in Computer Science are immersed in a dynamic learning environment that emphasizes practical skills and real-world applications. The programs are designed to bridge the gap between theoretical knowledge and hands-on experience, ensuring that graduates are well-prepared for the challenges of the industry. With state-of-the-art facilities and cutting-edge tools, students have the opportunity to engage in innovative projects and collaborate with peers, fostering a rich learning experience.

Here are some key aspects of experiential learning in these programs:

- Robotics and Mechatronics Laboratories: Access to specialized labs equipped with advanced robotics kits, mechatronic systems, and prototyping tools.
- Software Tools: Proficiency in industry-standard software such as MATLAB, SolidWorks, and Python, which are integral for design, simulation, and programming tasks.
- Group Projects: Collaborative projects that encourage teamwork and problem-solving, allowing students to apply their knowledge in practical scenarios.
- Internships and Industry Partnerships: Opportunities for internships with leading companies in the tech and engineering sectors, providing invaluable work experience and networking.
- Field Trips: Visits to industry sites and research institutes, offering insights into real-world applications of robotics and computer science.
- Research Opportunities: Involvement in cutting-edge research projects under the guidance of experienced faculty, enhancing critical thinking and innovation skills.
- Digital Tools: Utilization of online platforms and resources for coding, simulation, and project management, ensuring students are adept in digital environments.
- Access to Libraries and Research Institutes: Extensive resources available through UNSW’s libraries and dedicated research institutes, supporting academic and project work.

 

Progression & Future Opportunities

Graduates of the Bachelor of Engineering (Honours) (Robotics and Mechatronics Engineering) / Bachelor of Science (Computer Science) from UNSW are exceptionally well positioned to lead the development of intelligent technologies that are transforming industries worldwide. By combining expertise in robotics, automation, artificial intelligence, software development, and computer systems, graduates develop a highly sought-after skill set that aligns with the future of technology and innovation. This dual degree opens doors to careers across engineering, computing, advanced manufacturing, autonomous systems, healthcare technology, and emerging digital industries.

Typical career pathways include: Robotics Engineer, Mechatronics Engineer, Software Engineer, Artificial Intelligence Engineer, Machine Learning Engineer, Automation Engineer, Autonomous Systems Engineer, Embedded Systems Engineer, Computer Vision Engineer, Data Scientist, and Technology Consultant.

This strong career outlook is supported by UNSW's reputation for excellence in engineering and computing education:

  • UNSW Careers and Employability provides career coaching, resume and interview preparation, networking opportunities, mentoring programs, internship support, and graduate recruitment services.
  • Graduates are highly sought after across industries including robotics, artificial intelligence, autonomous vehicles, advanced manufacturing, aerospace, defence, healthcare technology, fintech, software development, and smart infrastructure.
  • Median starting salaries for engineering and computer science graduates in Australia typically range from AUD $75,000–$95,000+, with AI, software engineering, machine learning, and robotics specialists often commanding higher salaries as demand continues to grow.
  • UNSW maintains strong partnerships with leading technology companies, engineering firms, research organizations, and multinational employers, providing valuable industry exposure and employment pathways.
  • Accreditation by Engineers Australia ensures that graduates meet internationally recognized engineering standards and enhances professional mobility across global markets.
  • The combination of engineering and computer science expertise provides a significant competitive advantage in fast-growing sectors where hardware, software, and intelligent systems converge.
  • Students graduate with highly transferable skills in programming, systems integration, automation, data analysis, machine learning, project management, problem-solving, and technical leadership.
  • UNSW consistently ranks among Australia's leading universities for graduate employability and is internationally recognized for excellence in engineering, computer science, artificial intelligence, and innovation.

Further Academic Progression:

After completing this degree, graduates may pursue advanced study through a Master of Artificial Intelligence, Master of Data Science, Master of Information Technology, Master of Engineering, Master of Robotics and Intelligent Systems, Master of Cyber Security, or Master of Business Administration (MBA). Students interested in research can continue into a Master of Philosophy (MPhil) or Doctor of Philosophy (PhD) in robotics, mechatronics, artificial intelligence, machine learning, computer vision, autonomous systems, software engineering, or advanced computing. These pathways can lead to careers in academia, research leadership, advanced technology development, innovation management, entrepreneurship, and executive leadership within technology-driven organizations.

Program Key Stats

$61,500
$8,000

Febr Intake : 30th NovJuly Intake : 30th Apr


No

Eligibility Criteria

A*AA
3.0
39
84

1270
27
6.5
90
95

Additional Information & Requirements

Country Requirements

Career Options

  • Software Engineer
  • Computer Engineer
  • Artificial Intelligence Engineer
  • Machine Learning Engineer
  • Cybersecurity Engineer
  • Systems Engineer
  • Cloud Engineer
  • Robotics Engineer
  • Data Scientist
  • Full Stack Developer
  • Embedded Systems Engineer
  • DevOps Engineer
  • Network Engineer
  • Research Engineer
  • Technology Consultant

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