University of San Diego

What you'll study

The programme combines core systems engineering principles with focused study in human systems engineering and intelligent systems. Core topics typically include systems modelling and simulation, systems architecture, requirements engineering, verification and validation, and systems lifecycle management. Human-centred and intelligent-systems modules cover human factors and ergonomics, human–computer interaction, cognitive engineering, sensor fusion and perception, machine learning for embedded and real-time systems, and decision support systems.

• Systems modelling and simulation
• Systems architecture and integration
• Requirements engineering and verification & validation
• Human factors, usability and cognitive engineering
• Machine learning and AI for intelligent systems
• Sensor systems, perception and signal processing
• Human–computer interaction and user-centred design
• Systems engineering project management and ethics

Students normally choose between a substantial capstone design project or a research thesis. Projects are often industry-linked and involve multidisciplinary teams addressing real-world problems. Technical electives and seminar courses allow deeper study in areas such as autonomous vehicles, healthcare systems, robotics, cyber-physical systems and assurance of safety-critical systems.

Entry requirements

Applicants are expected to hold a bachelor’s degree in engineering, computer science, mathematics, physics or a closely related technical discipline. Relevant professional experience may be considered in lieu of a directly related degree. Typical application materials include academic transcripts, a statement of purpose outlining academic and professional goals, a current résumé or curriculum vitae, and letters of recommendation.

For international applicants, proof of English language proficiency is required if prior education was not in English. The programme may consider standardised test scores where provided, but the admissions process places significant weight on prior coursework, relevant experience and the applicant’s statement of purpose.

Career prospects

Graduates are prepared for roles that bridge engineering, human factors and intelligent systems design. Common career paths include systems engineer, human factors or usability engineer, intelligent systems engineer, UX researcher for complex systems, autonomy or robotics engineer, and safety or assurance engineer for safety-critical domains.

Alumni work across sectors such as aerospace and defence, healthcare technology, autonomous vehicles, consumer electronics, telecommunications and systems integration consultancies. The programme’s emphasis on practical projects and interdisciplinary skills also supports careers in product management and technical leadership where understanding both human users and complex system behaviour is critical.

Why study at University of San Diego

The University of San Diego offers an interdisciplinary approach within a small-school environment, enabling close collaboration with faculty and classmates. The engineering school emphasises hands-on learning through lab facilities, capstone projects and partnerships with local industry. Located in a regional technology hub, the university provides opportunities to engage with defence, biotech, robotics and autonomous-systems companies in the San Diego area.

Students benefit from faculty with applied research experience in human systems, AI and systems engineering, as well as access to multidisciplinary resources across the university. The programme’s balance of theory, design practice and project work is intended to prepare graduates to deliver usable, reliable and safe intelligent systems in complex real-world settings.