Southern Methodist University

USA
1 Scholarships 140 Programs 3 Degree levels
Masters

Master's in Systems Engineering

DegreeMasters
FieldSystems Engineering.
A

Cost & earnings at Southern Methodist University What students borrow here, and what they go on to earn

You borrow $19,500 median federal debt
You repay $222/mo over 10 years
Graduates earn $78,354 10 yrs after entry
Debt clears in 0.5 yrs of the salary premium
US Department of Education figures See the full breakdown →

The Master of Science in Systems Engineering with a concentration in Human Systems Engineering - Intelligent Systems at Southern Methodist University trains students to design, evaluate and integrate intelligent technologies that work reliably with people. It suits engineers and technically minded graduates who want to combine systems thinking, human factors and AI-driven technologies to create usable, safe and effective socio-technical systems.

What you'll study

This programme combines core systems engineering principles with human-centred design and intelligent systems technologies. Typical core modules cover systems engineering fundamentals, systems architecture, modelling and simulation, requirements engineering, verification and validation, and systems lifecycle management. Specialist modules in the human systems and intelligent systems strand include human factors and ergonomics, cognitive engineering, human–computer interaction, decision support systems, machine learning for intelligent systems, sensor and actuator integration, and autonomy in socio-technical systems.

Instruction mixes technical lectures, hands-on labs and team-based systems projects. Students normally complete a capstone or thesis project that applies systems engineering methods and human-centred evaluation to a real-world problem, often in collaboration with industry partners or campus research groups. The programme emphasises quantitative analysis, experimental methods for usability and performance assessment, and practical skills in tools for system modelling, data analysis and prototyping.

Entry requirements

Applicants are expected to hold a recognised bachelor’s degree in engineering, computer science, information technology, mathematics, cognitive science or a closely related field. Typical admissions documents include academic transcripts, a statement of purpose explaining technical interests and career goals, and references from academic or professional referees. Applicants with substantial relevant professional experience may be considered even if their undergraduate degree is in a different discipline.

Demonstrated preparation in mathematics (calculus, linear algebra, probability) and foundational knowledge in programming, systems design or statistics strengthening an application. Applicants whose first language is not English are normally required to provide proof of English proficiency. Some applicants may be asked to supply a portfolio or evidence of prior project work; requirements for standardised tests (if any) vary by year, so applicants should check current admissions guidance.

Career prospects

Graduates are prepared for roles that require bridging technical systems and human users. Typical job titles include systems engineer, human factors engineer, human–computer interaction specialist, usability or UX engineer, intelligent systems engineer, autonomy systems engineer, and product design engineer. Employers are found across sectors such as aerospace and defence, healthcare and medical devices, transportation and automotive systems, consumer technology, robotics and industrial automation, and consulting firms focused on socio-technical system development.

Alumni progress into industry roles responsible for systems architecture, requirements integration, safety and assurance, and user-centred evaluation, or continue into research and PhD study in areas such as cognitive systems, human-robot interaction and applied artificial intelligence.

Why study at Southern Methodist University

Southern Methodist University’s Lyle School of Engineering offers the programme within an applied, interdisciplinary environment that emphasises collaboration between engineering, computer science and behavioural sciences. Students benefit from faculty who conduct research in human-centred computing, intelligent systems and systems engineering, as well as access to campus research facilities and project-based learning opportunities.

Located in the Dallas–Fort Worth region, SMU provides strong links to a diverse local technology and industry ecosystem, which supports internships, capstone projects and employment opportunities. The programme’s small, focused cohorts and close faculty supervision make it suitable for students seeking practical, career-oriented training that integrates human factors, systems thinking and intelligent technologies.

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Programme details are indicative and may change — always verify current information with the official university website before applying.