Bachelor of Mechatronics Engineering (Honours) / Bachelor of Mathematics

5 Years On Campus Bachelors Program

University of Newcastle

Program Overview

Program Overview
The Bachelor of Mechatronics Engineering (Honours) / Bachelor of Mathematics at the University of Newcastle equips students with advanced engineering and mathematical skills to tackle complex real-world challenges. It suits problem-solvers passionate about automation, robotics, and technical innovation, offering a blend of mechanical, electrical, and computational studies alongside deep mathematical foundations.

Curriculum Structure
First Year: Students build a solid foundation in both engineering and mathematics. Courses like Mechatronics Design, Electronic Design, and Calculus introduce the principles of autonomous systems, circuit design, and fundamental mathematical techniques essential for engineering applications.

Second Year: This year focuses on integrating mechanical and electronic systems with computational modeling. Units such as Microprocessor Systems, Sensors and Actuators, and Linear Algebra help students develop practical skills in system design, simulation, and problem-solving using mathematical models.

Third Year: Students advance their design and analytical capabilities through specialized projects and applied mathematics. Courses like Modelling and Simulation, Mathematical Modelling, and Complex Analysis allow them to undertake real-world engineering challenges and refine predictive and analytical skills.

Fourth Year: The focus shifts to professional practice and innovation, including a mathematics capstone project. Units in Advanced Physics, Quantum Mechanics and Semiconductor Physics, and Autonomous Systems prepare students to work on industry-relevant projects and gain hands-on experience.

Fifth Year: Students consolidate their expertise in mechatronics engineering and mathematics, applying their knowledge to multidisciplinary problems. Emphasis on industrial placements, systems integration, and advanced design projects equips graduates to transition confidently into professional roles.

Focus Areas: Robotics, automation, control systems, electronic design, mechanical integration, applied mathematics, data analysis

Learning Outcomes: Design, model, and optimize mechatronic systems; apply mathematical analysis to engineering problems; develop practical skills in automation, sensors, and autonomous systems

Professional Alignment (Accreditation): Accredited by Engineers Australia, ensuring graduates meet national engineering competency standards

Reputation (Employability Rankings): Ranked 2nd in Australia and 41st globally for Automation and Control, Top 300 worldwide for Mathematics, 1st in NSW for skills development.

Experiential Learning (Research, Projects, Internships etc.)

Experiential Learning

From the very first year, students in this combined program gain hands-on experience that brings engineering and mathematics concepts to life. You’ll work directly with advanced tools, machinery, and software, learning how circuits, automation, sensors, and mechanical systems integrate in real-world applications. The program emphasizes teamwork, innovation, and industry readiness, ensuring you graduate with practical skills and confidence to tackle complex engineering challenges.

Your learning is enriched by world-class facilities and opportunities, including:

Engineering Laboratories: Fully equipped labs for electronic design, mechatronics systems, microprocessor projects, and sensor-actuator integration.
Simulation & Modelling Tools: Access to industry-standard software for system simulation, automation, and robotics design.
Industry Work Placements: Complete 12 weeks of professional industrial experience, building networks and applying your skills in real-world projects.
Mathematics Capstone Project: Collaborate with industry partners on a substantial real-world mathematics or engineering challenge.
Team-Based Projects: Engage in collaborative design and development tasks, including robotics and autonomous systems, fostering leadership and communication skills.
Field Trips & Industry Engagement: Opportunities to visit leading industries in defence, advanced manufacturing, and robotics.
Libraries & Research Institutes: Access the University’s extensive libraries, research centres, and the ResTech partnership for cutting-edge engineering innovation.
Demo Days & Showcases: Present and test your projects publicly, gaining feedback and recognition for your work.

This hands-on, industry-focused approach ensures you’re not only learning theory but also translating knowledge into practical, employable skills.

Progression & Future Opportunities

Future Progression & Opportunities:
Graduates of the Bachelor of Mechatronics Engineering (Honours) / Bachelor of Mathematics are highly sought after, entering careers that blend engineering innovation with advanced analytical skills. Typical roles include Systems Engineer, Industrial Automation Engineer, Robotics Designer, and Data Communications Engineer:

University services to support employment: Career-ready placement programs include 12 weeks of industrial experience, mathematics capstone projects with real industry partners, and ongoing support from the University’s Career Development Centre.
Employment stats and salary figures: 92% of graduates are employed within four months of completing their degree, reflecting strong industry demand.
University–industry partnerships: Collaborations include ResTech and Ampcontrol, providing students with hands-on experience and networking opportunities with leading engineering firms.
Long-term accreditation value: Graduates benefit from an accredited engineering program, ensuring recognition both nationally and internationally for professional practice.
Graduation outcomes: Alumni work across defence, advanced manufacturing, mining, health, aerospace, robotics, and renewable energy industries, applying their combined engineering and mathematics expertise.

Further Academic Progression:
After completing this combined degree, students may pursue postgraduate study in engineering, mechatronics, robotics, data science, or applied mathematics, or explore specialized research pathways that deepen expertise in areas like autonomous systems, advanced automation, or predictive modeling.