Marymount University

What you'll study

This programme combines core systems engineering principles with human-systems and intelligent-systems specialisms. Core topics typically include systems engineering fundamentals, systems architecture and lifecycle processes, requirements engineering, systems modelling and simulation, reliability and verification & validation.

Human-systems and intelligent-systems focused modules cover human factors and ergonomics, cognitive systems engineering, human–computer interaction, human-systems integration, sensor and actuator systems, and applied machine learning and data analytics for intelligent decision support. Students also study topics such as automation and autonomy, trust and ethical issues in AI-enabled systems, and techniques for assessing human performance in complex systems.

The course structure usually blends taught modules with a substantial applied project or capstone. The capstone project emphasises real-world problems and may involve system requirements definition, prototype development, simulation or evaluation of human–machine interfaces, often undertaken with industry, government or research partners. Instruction typically uses a mix of lectures, lab work, team-based design exercises and case studies.

Entry requirements

Applicants normally need a recognised undergraduate degree in engineering, computer science, information technology, psychology, human factors, physical sciences or another related discipline. Candidates with professional experience in technical roles may also be considered.

Typical application materials include academic transcripts, a current CV or résumé, a personal statement outlining relevant experience and goals, and at least one academic or professional reference. The programme may consider prior quantitative coursework (calculus, statistics, programming) or relevant professional experience as part of the assessment. International applicants must meet English language proficiency requirements as set by the university.

Career prospects

Graduates are prepared for roles that bridge technical systems engineering and human-centred design. Common job titles include systems engineer, human factors engineer, human-systems integration specialist, user experience (UX) engineer for complex systems, intelligent-systems developer, systems architect and systems requirements analyst.

Alumni find work across sectors that deploy complex sociotechnical systems: defence and aerospace, healthcare technology and medical devices, transportation and automotive systems, autonomous systems, government and regulatory agencies, and consultancy firms focused on systems engineering, safety and usability. The applied nature of the capstone also supports transitions into research or further doctoral study for those pursuing academic careers.

Why study at Marymount University

Marymount offers a focused, applied approach in a setting with relatively small class sizes that supports close interaction with faculty and peers. The university's location near national government, defence and technology employers provides access to industry projects, guest lecturers and internship opportunities.

The programme emphasises hands-on learning through labs, simulation tools and an industry-linked capstone, helping students develop practical skills widely sought by employers. Flexible scheduling and delivery options make the degree accessible to working professionals seeking to advance or change their careers while studying.