Northern Arizona University

What you'll study

The programme delivers a balanced curriculum across mechanical systems, electrical circuits, control theory, and software for automation. Early coursework builds a foundation in calculus, physics, materials, and basic electrical engineering, followed by modules focused on sensors and actuators, microcontrollers and embedded systems, digital and analog electronics, and instrumentation.

• Core engineering fundamentals: calculus, differential equations, statics and dynamics, thermodynamics and materials science.
• Electrical and electronic systems: circuit analysis, power systems, signal processing and instrumentation.
• Control and automation: classical and modern control theory, feedback systems, PLC programming and industrial automation.
• Robotics and mechatronics: kinematics and dynamics of robots, motion planning, sensors, actuators, and robotic manipulator design.
• Software and embedded systems: programming (C/C++, Python), real-time operating systems, embedded hardware, and model-based design.
• Design and fabrication: CAD/CAM, rapid prototyping, manufacturing processes, and systems integration.
• Capstone and laboratory work: multi‑semester design projects and laboratory courses that emphasise hands-on integration of mechanical, electrical and software components.

Students typically complete progressive laboratory courses, team-based design projects and an upper-level capstone in which they conceive, build and demonstrate a working automated or robotic system. Opportunities are available to take elective courses in areas such as machine vision, artificial intelligence for robotic systems, industrial networking and advanced manufacturing.

Entry requirements

Admission is generally based on successful completion of a college-preparatory high school curriculum with strong preparation in mathematics and science. Applicants should present coursework including algebra, geometry, precalculus or calculus, and high school physics; chemistry is recommended.

• Academic preparation: a competitive academic record in quantitative subjects; successful completion of calculus and physics prior to enrolment or during the first year is typically expected.
• Standardised testing and alternatives: NAU's admissions process considers standardised tests where applicable and evaluates applicants holistically; prospective students should review the university's current admissions policy for testing requirements.
• International students: proof of English proficiency through an approved test or equivalent academic preparation in English is normally required.
• Transfer students: students transferring from community colleges or other universities should have completed relevant lower-division engineering and mathematics courses; articulation agreements and transfer advisement are available to map prior credits into the degree.

Beyond minimum academic eligibility, successful applicants often demonstrate practical experience (robotics clubs, maker projects, internships) and an interest in multidisciplinary engineering design.

Career prospects

Graduates are prepared for roles that bridge mechanical, electrical and software engineering within manufacturing, automation, robotics and related technology sectors. Common career paths include:

• Automation engineer or controls engineer, designing and commissioning automated production systems.
• Robotics engineer, developing robotic manipulators, mobile robots or autonomous systems.
• Systems integrator or mechatronics engineer, combining hardware and software for turnkey solutions.
• Embedded systems developer, programming microcontrollers and real‑time systems for industrial devices.
• Manufacturing and process engineer, applying automation to improve efficiency and quality on production lines.
• Technical roles in research and development, or progression to graduate study in robotics, controls, or systems engineering.

Graduates find employment in industrial automation firms, automotive and aerospace suppliers, technology start-ups, utilities, and research laboratories, or they may pursue further specialisation through postgraduate study.

Why study at Northern Arizona University

Northern Arizona University emphasises hands-on learning, small class sizes and opportunities for undergraduate research and industry collaboration. The programme integrates laboratory coursework and capstone design projects that give students experience with real hardware, industry-standard software tools and fabrication techniques.

• Applied learning: extensive lab work, project-based courses and a multi-disciplinary capstone ensure practical experience designing and building automated systems.
• Support for internships and careers: NAU's career services and regional industry partnerships help students secure internships and co-op placements with local and national employers.
• Interdisciplinary environment: collaboration across mechanical, electrical and computer science departments mirrors the cross-disciplinary nature of mechatronics and robotics engineering.
• Research and facilities: access to fabrication shops, electronics and controls labs, and faculty-led research projects allows motivated students to deepen technical skills.

Overall, the programme is well suited to students seeking a practical, interdisciplinary engineering education that prepares them for careers developing automated and robotic systems or for advanced study in related engineering fields.