Syracuse University

What you'll study

This master's pathway combines core systems engineering methods with human-systems and intelligent-systems topics. Typical programme elements include systems engineering foundations (requirements engineering, systems architecture, verification and validation), model-based systems engineering, systems integration and lifecycle management. Human-centred subjects cover human factors and ergonomics, cognitive systems engineering, human-computer interaction, user-centred design and usability evaluation. Intelligent-systems modules introduce elements of machine learning, sensor fusion, decision support, autonomy and human–AI interaction.

The course is delivered through a mix of coursework, laboratories and a substantial capstone or thesis project that emphasises applied design and evaluation of socio-technical systems. Coursework will typically include project work, case studies and simulation/experimental assessments where students analyse human performance, safety and system behaviour in realistic scenarios.

• Core systems engineering methods and systems thinking
• Human factors, cognitive systems and user-centred design
• Machine learning for intelligent systems and human–machine teaming
• Modelling, simulation and verification of socio-technical systems
• Capstone project or research thesis integrating human and technical considerations

Entry requirements

Applicants are normally expected to hold a recognised bachelor's degree in engineering, computer science, mathematics, psychology with a quantitative focus, or a closely related discipline. Typical admissions materials include official academic transcripts, a personal statement describing relevant experience and goals, a current CV, and two or three academic or professional references.

Syracuse considers applicants with relevant professional experience, and applicants whose first language is not English must demonstrate proficiency through an approved test or equivalent evidence. Some prior coursework in systems analysis, programming, statistics or human factors is beneficial; the department may suggest preparatory modules for applicants lacking specific background.

Career prospects

Graduates are prepared for roles that require integrating technical systems with human users and organisational processes. Typical job titles include systems engineer, human factors engineer, user experience engineer, human-systems integration specialist, safety or reliability engineer, autonomy or human–robot teaming engineer, and design engineer for medical or transportation systems.

Alumni work across sectors such as aerospace and defence, automotive and autonomous vehicles, healthcare technology, consumer electronics, software and cloud services, transportation and logistics, and government research organisations. The programme’s emphasis on applied projects and evaluation equips graduates to move into roles that balance technical rigour with human-centred design and policy or compliance responsibilities.

Why study at Syracuse University

Syracuse’s engineering college offers an interdisciplinary environment that brings together systems engineering, computer science, cognitive and design expertise. Students benefit from hands-on labs, project-based courses and opportunities to collaborate with faculty on applied research. The university’s career services and industry links provide pathways to internships and professional placements, while a diverse alumni network supports job search and professional development.

Located in a city with a mix of regional industry and proximity to larger technology and defence hubs, the programme is well suited to students seeking practical, career-oriented training that bridges human-centred design and advanced systems engineering for intelligent technologies.