Colorado State University

What you'll study

The programme provides a balance of core systems engineering theory, human-systems engineering principles and methods for designing intelligent systems. Core topics typically include systems engineering fundamentals (requirements engineering, systems architecture and life‑cycle processes), modelling and simulation, and systems integration and verification. Human‑centred study covers human factors, cognitive engineering, human‑systems integration, usability evaluation and decision support for teams and operators.

Specialist intelligent‑systems modules emphasise machine learning and AI applications to human‑centred systems, sensor fusion and perception, autonomy and control, human–robot interaction, and adaptive user interfaces. Quantitative methods such as statistics, optimisation and data analytics for systems are also covered, alongside project work or a research thesis that applies methods to a real or simulated socio‑technical challenge.

• Systems engineering principles and systems architecture
• Human factors and cognitive systems engineering
• Machine learning and AI for intelligent systems
• Modelling, simulation and verification of complex systems
• Human–robot interaction and autonomy integration
• Research methods, project or thesis work

Entry requirements

Applicants are normally expected to hold a bachelor's degree in engineering, computer science, mathematics, physics or a closely related technical discipline. A solid grounding in mathematics (calculus, linear algebra, probability), basic programming and introductory systems concepts is expected. Selection typically considers academic record, letters of recommendation, a statement of purpose that outlines relevant experience and objectives, and a CV detailing relevant work or research.

International applicants must demonstrate English language proficiency according to the university's policies. Some applicants with strong professional experience in systems design, human factors, robotics or AI may be considered even if their prior degree is from a related non‑engineering background; such candidates should emphasise quantitative preparation in their application.

Career prospects

Graduates are prepared for roles that bridge technical system design and human‑centred evaluation. Typical job titles include systems engineer, human factors engineer, human‑systems integration specialist, autonomy engineer, interaction or UX engineer for complex systems, systems architect and test and evaluation engineer. Employers are found in aerospace and defence, automotive and autonomous vehicles, healthcare and medical devices, robotics and automation companies, transport and infrastructure, technology consultancies and government research organisations.

The degree also provides a foundation for further research or doctoral study in systems engineering, human factors, robotics or intelligent systems.

Why study at Colorado State University

Colorado State University offers an interdisciplinary engineering environment with faculty expertise spanning systems engineering, human factors, robotics and artificial intelligence. Students benefit from hands‑on laboratory resources and project opportunities that connect theory to practical system development and evaluation. The university's location provides proximity to a strong regional technology and aerospace sector, offering internship and collaboration possibilities with industry and government partners.

The programme emphasises applied problem solving and human‑centred design, giving students both the technical depth and the practical skills employers seek when building safe, effective intelligent systems that include human operators. Small class sizes and active research groups provide mentoring and opportunities to contribute to funded projects or pursue an industry‑oriented capstone or thesis.