University of Virginia

What you'll study

This programme combines core systems engineering principles with human factors, artificial intelligence and intelligent systems coursework. Typical areas of study include systems thinking and lifecycle analysis, mathematical modelling, optimisation, probability and statistics, control theory, sensors and instrumentation, and software fundamentals.

Specialist modules in the Human Systems Engineering – Intelligent Systems track cover human factors and ergonomics, cognitive engineering, human–computer interaction, machine learning for systems, perception and decision support, autonomy and robotics, and socio-technical systems design. Students also study applied topics such as safety and reliability engineering, risk assessment, verification and validation, and ethics of intelligent systems.

The curriculum emphasises hands-on work: laboratory classes, programming and data analysis projects, simulation and hardware prototyping, and team-based design. The degree typically culminates in a year-long capstone or senior design project in which multidisciplinary teams address a real-world problem, integrating technical design, human-centred evaluation and systems-level trade-offs.

Entry requirements

Successful applicants demonstrate strong achievement in mathematics (calculus) and science, and a preparation in computing or engineering-principles where available. Typical academic preparation includes advanced high-school mathematics, physics and experience with programming or data analysis.

Admissions to the University of Virginia are competitive and consider the whole applicant: academic record, letters of recommendation, personal statement and extracurricular engagement. International applicants should hold an equivalent secondary-school credential and meet English language proficiency requirements. Transfer applicants are evaluated on college-level coursework in STEM subjects and the availability of space in the programme.

Career prospects

Graduates are qualified for roles that bridge engineering, human factors and intelligent technologies. Common career paths include systems engineer, human factors/ergonomics engineer, user-experience researcher, autonomy engineer, data scientist for sociotechnical systems, product manager for complex systems, and reliability or safety engineer.

Alumni work across sectors including healthcare technology, automotive and autonomous vehicles, aerospace and defence, transportation systems, industrial automation, consulting and government agencies. The mix of technical, analytical and human-centred skills also positions graduates well for postgraduate study in systems engineering, human factors, computer science, robotics or public policy.

Why study at University of Virginia

The University of Virginia’s School of Engineering & Applied Science offers an interdisciplinary environment that connects engineering fundamentals with human-centred research and applied projects. Students benefit from faculty-led research opportunities, collaborative design studios and access to laboratories that support work in robotics, human factors and intelligent systems.

UVA emphasises project-based learning and industry engagement, enabling students to build practical experience through capstone projects, internships and partnerships with regional and national employers. The university’s broader academic community and alumni network provide additional resources for mentorship, entrepreneurship and career development.