Case Western Reserve University

What you'll study

This degree builds a foundation in mathematics, physics and core engineering, then moves into systems thinking, human factors and intelligent-systems topics. Early years typically cover calculus, linear algebra, programming, signals and systems, circuits and engineering mechanics. Intermediate and advanced modules commonly include systems modelling and simulation, control systems, probability and statistics for engineers, software engineering fundamentals, sensors and embedded systems, and data-driven methods.

Specialist courses for the Human Systems Engineering — Intelligent Systems focus emphasise human–machine interaction, cognitive engineering, human factors and ergonomics, machine learning and artificial intelligence, perception and decision-making, robotics and autonomy, and safety and reliability of socio-technical systems. Project-based learning is central: students take laboratory classes, team design projects and a capstone systems engineering project that integrates human-centred design with intelligent-system implementation and testing.

• Fundamental coursework: calculus, physics, programming (Python/C++), materials of systems thinking
• Core systems engineering: systems architecture, modelling & simulation, control theory, optimization
• Human-centred modules: human factors, cognitive engineering, human–computer interaction, usability evaluation
• Intelligent-systems modules: machine learning, perception, autonomous systems, sensor fusion
• Practical experience: lab courses, multidisciplinary design projects, undergraduate research and a year-long capstone

Programme structure

The programme follows a four-year, cohort-based Bachelor of Science curriculum with general education requirements alongside major coursework. Laboratory and design experience are integrated throughout, and students are encouraged to pursue undergraduate research or internships in industry and clinical settings. Electives allow tailoring toward robotics, healthcare systems, transportation or consumer product design.

Entry requirements

Applicants should present a strong secondary-school record with emphasis on mathematics (calculus where available), physics and related STEM subjects. Typical preparation includes:

• High-school diploma or equivalent with high achievement in mathematics and science
• Competence in algebra, trigonometry and ideally introductory calculus; coursework in physics and computer science is desirable
• Programming experience is recommended but not always required—demonstrated aptitude for quantitative problem-solving is important
• For international applicants, proof of English language proficiency through accepted tests or qualifications where required
• Application materials normally include academic transcripts, teacher/academic references, and a personal statement; a résumé of relevant projects, internships or research can strengthen an application

Admissions are holistic; meeting minimum course expectations does not guarantee admission and additional factors such as project experience, extracurricular activities and interviews may be considered.

Career prospects

Graduates are prepared for roles that bridge engineering, computing and human-centred design. Common job titles and sectors include:

• Systems engineer, systems integrator or systems architect in aerospace, automotive, defence and industrial automation
• Human factors/ergonomics engineer and usability specialist in healthcare, consumer electronics and transportation
• Intelligent systems engineer, machine learning engineer or robotics engineer in robotics firms, tech companies and research labs
• Product design and user-experience (UX) roles that require technical understanding of embedded and intelligent systems
• Consulting roles in safety-critical systems, and positions in regulatory, quality assurance and reliability engineering
• Further study options: specialised masters or PhD programmes in systems engineering, human factors, robotics, machine learning or biomedical engineering

Why study at Case Western Reserve University

Case Western Reserve offers strong cross-disciplinary collaboration between engineering, computer science, medicine and design, enabling students to apply intelligent-systems concepts in real-world human-centred contexts. Proximity and formal partnerships with major clinical and research institutions in the Cleveland area provide exceptional opportunities for healthcare-focused projects and internships.

Undergraduate students benefit from research-active faculty, dedicated labs for human factors and intelligent systems, project-based coursework and support for undergraduate research and industry placements. Class sizes in upper-level courses remain small enough for close faculty mentorship, while the university’s emphasis on experiential learning helps students build practical portfolios valued by employers and graduate programmes.