Cost & earnings at Florida State University What students borrow here, and what they go on to earn
The Master of Science in Systems Engineering with a concentration in Human Systems Engineering – Intelligent Systems at Florida State University trains students to design, evaluate and implement intelligent, human-centred systems. It suits graduates with backgrounds in engineering, computer science, psychology or related fields who want to combine human factors, machine learning and systems thinking for applications in healthcare, transportation, defence and consumer technologies.
This programme emphasises the engineering of intelligent systems that interact effectively with people. Core topics include human factors and ergonomics, cognitive systems engineering, systems modelling and analysis, and principles of intelligent systems. Students typically study modules in human-centred design, machine learning and data analytics for human systems, sensor and perception systems, decision support and optimisation, and human–computer interaction.
The curriculum is offered as a flexible mix of coursework and research. Students choose between thesis and non-thesis (project or coursework) options. Typical components are:
Applicants are expected to hold a bachelor's degree in engineering, computer science, applied mathematics, psychology with quantitative training, or a closely related discipline. A strong academic record in undergraduate coursework relevant to systems engineering or human factors is required. Typical application materials include official transcripts, a statement of purpose outlining research or professional goals, a current CV, and at least two letters of recommendation.
Applicants whose native language is not English must provide evidence of English language proficiency. Where needed, applicants may be asked to demonstrate prior coursework or experience in programming, statistics, or linear systems; some applicants without a directly related degree may be admitted conditionally and asked to complete prerequisite bridging courses.
Graduates are prepared for roles that bridge technology and human behaviour. Common job titles include systems engineer, human factors/ergonomics engineer, user experience researcher, intelligent systems engineer, autonomy engineer, and human–robot interaction specialist. Employers span sectors such as healthcare technology, transportation and automotive systems, aerospace and defence, consumer electronics, and government or national laboratories.
Alumni also pursue doctoral study or research careers, working on topics such as adaptive automation, explainable AI for human collaboration, safety-critical system design, and advanced sensor fusion for human-in-the-loop systems.
Florida State University offers a multidisciplinary environment combining engineering, psychology, computing and data science expertise, which is well suited to human-centred intelligent systems. Students benefit from close faculty mentorship, access to research laboratories and centres focused on applied systems research, and opportunities for interdisciplinary collaboration across campus.
Located in Tallahassee, the university provides links to regional industry, government agencies and research institutions that support internships and applied projects. The programme’s emphasis on both theoretical foundations and hands-on application prepares graduates to address complex socio-technical challenges in industry and research settings.
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