Santa Clara University

What you'll study

This programme blends core engineering fundamentals with applied laboratory work and project-based learning. Typical subjects include sensors and actuators, digital and analog electronics for control, embedded systems and real‑time programming, control theory and applications, kinematics and dynamics of robotic manipulators, machine vision and perception, industrial automation and PLC systems, and mechatronic systems design and integration. Coursework is often complemented by team design projects or a capstone thesis that require system-level design, prototyping and testing using industry-standard tools and hardware platforms.

• Core modules: control systems, embedded systems, mechatronics design, robotics fundamentals
• Common electives: machine vision, advanced controls, human–robot interaction, AI for automation, sensor fusion
• Laboratory work: hands-on labs with actuators, sensors, microcontrollers, and industrial control equipment
• Capstone/project: multidisciplinary design project or research thesis demonstrating practical system integration

Entry requirements

Applicants are expected to hold a bachelor’s degree in engineering, computer science, or a closely related quantitative discipline. Typical academic preparation includes courses in calculus and linear algebra, physics (mechanics), programming, and basic circuits or electronics. Candidates who lack specific prerequisites may be asked to complete remedial coursework.

• Academic transcripts showing a strong undergraduate record in a relevant field
• A personal statement outlining motivation and relevant experience
• One to three letters of recommendation from academic or professional referees
• A résumé/CV detailing technical experience, projects and any industry placements

Standard application requirements such as proof of English language proficiency for international applicants will also apply. The programme may consider professional experience in lieu of specific academic qualifications on a case‑by‑case basis.

Career prospects

Graduates are prepared for roles that require cross‑disciplinary engineering skills and practical system integration experience. Common career paths include robotics engineer, automation and controls engineer, systems integrator, embedded systems developer, machine vision engineer, research and development engineer, and product engineer for robotics and automated equipment.

Given Santa Clara University’s location in the Silicon Valley region and its industry connections, graduates often find opportunities with robotics and automation start‑ups, established industrial automation firms, medical device companies, semiconductor and electronics manufacturers, and technology consultancies. Some alumni continue into doctoral study or research roles in academia or corporate labs.

Why study at Santa Clara University

Santa Clara University offers a programme emphasising hands‑on learning, small class sizes and close faculty mentorship. The university’s engineering school has laboratory facilities and project courses designed to mirror industry practice, enabling students to develop practical skills in hardware and software integration. Proximity to Silicon Valley provides access to industry partners, internships and recruitment by companies working at the forefront of robotics, automation and intelligent systems.

Additionally, the university’s approach integrates ethical and societal considerations with technical training, and students benefit from career services, alumni networks and opportunities for multidisciplinary collaboration across engineering, business and design disciplines.