John Hopkins University

What you'll study

This programme emphasises the intersection of systems engineering, human-centred design and intelligent systems. You will study core systems engineering topics alongside specialised modules that address human factors, cognition and autonomy. Teaching mixes theoretical foundations with applied projects and a capstone or thesis depending on the route you choose.

• Core systems topics: systems thinking and architecture, systems modelling and simulation, requirements engineering, verification and validation.
• Human-centred and cognitive modules: human factors engineering, cognitive systems engineering, human–computer interaction for complex systems, ergonomics and decision support.
• Intelligent systems and data: machine learning for systems, sensor data fusion, autonomy and intelligent agents, real‑time systems and control.
• Practical and professional skills: systems integration, systems engineering project management, risk and reliability analysis, ethical and regulatory considerations for socio-technical systems.
• Research and project work: a substantial capstone design project or research thesis that applies methods to a real-world problem, often in partnership with a laboratory, industry partner or one of the university’s research centres.

Entry requirements

Applicants are normally expected to hold an accredited bachelor's degree in engineering, computer science, mathematics, physical sciences or a closely related discipline. Strong quantitative preparation in areas such as calculus, linear algebra and probability/statistics is important. Relevant professional experience can strengthen an application, particularly for applicants from non-traditional backgrounds.

• Academic transcript demonstrating a solid academic record at undergraduate level.
• A statement of purpose outlining research or professional goals and relevant experience in systems, human factors or intelligent systems.
• Curriculum vitae and letters of recommendation from academic or professional referees.
• Proof of English language proficiency for non-native speakers (institution-accepted tests or exemptions apply).
• Some applicants may be asked to supply GRE scores or additional supporting material; requirements can vary by programme route.

Career prospects

Graduates move into roles that require integrating human considerations with advanced technical systems. Typical positions include systems engineer, human factors engineer, autonomy or robotics systems developer, user experience designer for critical systems, and reliability or safety engineer. Employers are found across healthcare technology, aerospace and defence, transportation and automotive sectors, energy and utilities, government laboratories and consulting firms.

Alumni also pursue research careers or further study at the doctoral level, working on problems such as trustworthy AI in human contexts, socio-technical resilience, and the design of intelligent decision-support systems.

Why study at John Hopkins University

Johns Hopkins University offers a strong interdisciplinary environment that brings together engineering, medicine, public policy and applied research. The programme benefits from close links to research centres and laboratories, opportunities for collaboration with the Applied Physics Laboratory and healthcare partners, and faculty expertise spanning human factors, machine learning and systems engineering.

Students gain access to industry partnerships and practicum opportunities in the Baltimore–Washington corridor, flexible study formats to accommodate working professionals, and a curriculum that combines rigorous theory with hands-on projects and real-world applications.