Case Western Reserve University

What you'll study

The programme combines core systems engineering principles with human-centred design, cognitive engineering and intelligent systems methods. You will study topics such as systems modelling and simulation, human factors and ergonomics, decision-making under uncertainty, human–computer interaction, machine learning for intelligent systems, sensor fusion and autonomy, and system verification and validation. Typical modules include Systems Engineering Foundations, Human Systems Integration, Cognitive Systems and Interface Design, Data-driven and Model-based Systems, Intelligent Agents and Robotics, and Safety and Reliability Engineering.

Study is delivered through a mix of lectures, hands-on labs, team-based design projects and a substantial culminating experience that can be a thesis, project report or capstone with an industry or clinical partner. Coursework emphasises system lifecycle thinking, requirements engineering, human-in-the-loop simulation, usability evaluation, and the practical integration of automated components with human operators.

Entry requirements

Applicants should hold a bachelor’s degree in engineering, computer science, cognitive science, mathematics, physics or a closely related technical field from an accredited institution. A strong foundation in calculus, statistics, programming and basic systems concepts is expected. Typical application materials include academic transcripts, a statement of purpose describing relevant experience and objectives, two or more letters of recommendation, and a current résumé or CV. International applicants must demonstrate English language proficiency through recognised tests or qualifying exemptions.

Equivalent professional experience or bridge coursework may be considered for applicants whose background is not strictly systems engineering. Some applicants choose to strengthen their preparation by taking prior coursework in programming, probability and statistics, or introductory systems modelling.

Career prospects

Graduates move into roles that require integration of human and automated capabilities across complex systems. Common job titles include Systems Engineer, Human Factors Engineer, UX Researcher for complex systems, Human–Machine Interaction Designer, Autonomous Systems Engineer, Product Manager for intelligent systems, and Reliability or Safety Engineer. Employers include technology companies, medical device and healthcare organisations, transportation and mobility firms, defence and aerospace contractors, consulting firms and research organisations.

The programme also provides a pathway to doctoral study for students interested in advanced research in cognitive systems, human–robot interaction, or intelligent socio-technical systems.

Why study at Case Western Reserve University

Case Western Reserve offers a multidisciplinary environment that brings together engineering, computer science, medicine and design, enabling research and projects at the intersection of humans and intelligent technologies. Students benefit from collaboration opportunities with nearby healthcare institutions and industry partners in Cleveland, access to specialised labs in human factors and robotics, and faculty with expertise in systems engineering, machine learning and human-centred design.

The Case School of Engineering emphasises experiential learning and industry engagement, so students can apply classroom methods to real-world problems through capstone projects, internships and partnerships. The programme’s combination of systems thinking and human-centred methods prepares graduates to lead development of safer, more usable and more effective intelligent systems across many sectors.