Bachelor of Engineering (Honours) (Electrical)/Master of Robotics and Artificial Intelligence

5 Years On Campus Bachelors Program

Queensland University of Technology

Program Overview

The Bachelor of Engineering (Honours) (Electrical)/Master of Robotics and Artificial Intelligence at Queensland University of Technology (QUT) is an innovative program designed for students passionate about technology and its applications in the real world. This dual degree equips graduates with the skills to excel in the rapidly evolving fields of electrical engineering and robotics, making it ideal for those who aspire to shape the future of automation and intelligent systems.

Curriculum Structure:

In the first year, students will lay a solid foundation in engineering principles with courses such as "Engineering Fundamentals" and "Mathematics for Engineers." These units introduce essential concepts in problem-solving and analytical thinking, preparing students for more advanced topics in subsequent years.

During the second year, the focus shifts to more specialized knowledge with courses like "Electrical Circuits" and "Digital Systems." Here, students delve into the intricacies of electrical engineering, learning about circuit design and digital logic, which are crucial for understanding the hardware that underpins robotics and AI technologies.

In the third year, students will engage in practical applications through units such as "Control Systems" and "Embedded Systems." This year emphasizes hands-on experience, allowing students to design and implement systems that integrate hardware and software, a vital skill in the field of robotics.

The fourth year is dedicated to advanced topics and research, with courses like "Robotics" and "Artificial Intelligence." Students will explore cutting-edge technologies and methodologies, culminating in a capstone project that showcases their ability to innovate and apply their knowledge in real-world scenarios.

In the fifth year, as part of the Master’s component, students will focus on specialized areas of robotics and AI, engaging in advanced coursework and research projects. This year is designed to deepen their expertise and prepare them for leadership roles in the industry.

Focus Areas: Robotics, Artificial Intelligence, Electrical Engineering, Control Systems, Embedded Systems

Learning Outcomes: Proficiency in engineering principles, ability to design and implement complex systems, understanding of robotics and AI technologies, and skills in project management and teamwork.

Professional Alignment (Accreditation): This program is accredited by Engineers Australia, ensuring that graduates meet the professional standards required for engineering practice.

Reputation (Employability Rankings): QUT consistently ranks highly for employability, with the QS World University Rankings placing it among the top universities globally for engineering and technology.

 

Experiential Learning (Research, Projects, Internships etc.)

At Queensland University of Technology (QUT), students in the Bachelor of Engineering (Honours) (Electrical)/Master of Robotics and Artificial Intelligence program are immersed in a dynamic learning environment that emphasizes practical skills and real-world applications. The university is committed to providing students with hands-on experiences that prepare them for the challenges of the engineering and technology sectors. With state-of-the-art facilities and cutting-edge tools, students can engage in projects that foster innovation and creativity.

Here’s how QUT enhances experiential learning for its engineering students:

- Robotics and AI Labs: Access to specialized laboratories equipped with advanced robotics kits, sensors, and AI software, allowing students to design, build, and program their own robotic systems.
- Industry Partnerships: Collaborations with leading tech companies provide opportunities for internships and real-world projects, ensuring students gain valuable industry experience.
- Group Projects: Students work in teams on capstone projects, simulating real engineering challenges and fostering teamwork and problem-solving skills.
- Field Trips: Regular excursions to local industries and tech hubs give students insights into the latest technologies and practices in the field.
- Software Tools: Proficiency in industry-standard software such as MATLAB, SolidWorks, and Python, which are essential for engineering and AI applications.
- Research Opportunities: Access to QUT’s research institutes, where students can participate in groundbreaking research projects in robotics and artificial intelligence.
- Innovation Spaces: Dedicated spaces for collaboration and innovation, including maker spaces and design studios, where students can experiment and prototype their ideas.
- Library Resources: Extensive library resources, including access to engineering journals, databases, and digital tools that support research and learning.

These experiential learning opportunities not only enhance your academic experience but also equip you with the skills and knowledge that employers are looking for. By choosing QUT, you’re setting yourself up for a successful career in engineering and technology.

 

Progression & Future Opportunities

Graduates of the Bachelor of Engineering (Honours) (Electrical)/Master of Robotics and Artificial Intelligence at Queensland University of Technology (QUT) are well positioned to lead innovation at the intersection of electrical engineering, robotics, automation, and intelligent systems. Combining advanced technical expertise with practical industry experience, graduates are equipped to design, develop, and manage next-generation technologies across a range of industries. Typical career pathways include Electrical Engineer, Robotics Engineer, Artificial Intelligence Engineer, Automation and Control Systems Engineer, Machine Learning Specialist, and Systems Integration Engineer.

This strong career readiness is supported by QUT’s industry-focused approach and extensive professional development opportunities:

  • Career Development Support: QUT's Careers and Employability team provides personalised career coaching, resume and interview preparation, networking events, career fairs, and access to employment opportunities through the university's online career platform.
  • Industry Connections: Students benefit from QUT's strong partnerships with industry leaders, government agencies, and research organisations, creating opportunities for internships, industry projects, mentoring, and professional networking throughout their studies.
  • Work-Integrated Learning: Engineering students undertake practical projects and industry engagement activities that allow them to apply classroom knowledge to real-world engineering and AI challenges before graduation.
  • Professional Recognition: The Bachelor of Engineering (Honours) component is accredited by Engineers Australia, enabling graduates to pursue professional engineering registration and international recognition through global engineering accords.
  • Research and Innovation Opportunities: Students gain exposure to cutting-edge research in robotics, artificial intelligence, automation, intelligent systems, and advanced manufacturing, preparing them for leadership roles in rapidly evolving technology sectors.
  • Graduate Outcomes: The combination of an accredited engineering qualification and a specialised master's degree provides graduates with a competitive advantage in high-demand fields where expertise in automation, robotics, AI, and electrical systems is increasingly sought after worldwide.

Further Academic Progression:

Upon completing this combined degree, graduates may choose to further advance their expertise through doctoral research programs such as a PhD in Engineering, Robotics, Artificial Intelligence, Electrical Engineering, Automation, or related disciplines. Graduates can also pursue specialised professional certifications and industry credentials in areas such as machine learning, data science, robotics systems, automation engineering, cybersecurity, and project management, supporting continued career growth and leadership opportunities in emerging technology sectors.

Program Key Stats

$47,500
$8,300

Febr Intake : 30th NovJuly Intake : 30th Apr


44 %
No
Yes

Eligibility Criteria

BCC
3.0
32
80

1290
32
6.5
79
90.00

Additional Information & Requirements

Country Requirements

Career Options

  • Robotics Engineer
  • Artificial Intelligence Engineer
  • Automation Engineer
  • Machine Learning Engineer
  • Mechatronics Engineer
  • Control Systems Engineer
  • Autonomous Systems Engineer
  • Robotics Software Developer
  • Computer Vision Engineer
  • AI Research Engineer
  • Embedded Systems Engineer
  • Systems Integration Engineer
  • Industrial Robotics Specialist
  • Intelligent Systems Developer
  • Robotics Project Manager

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