Florida State University

What you'll study

The programme combines core engineering science with applied methods for design, analysis and improvement of complex systems. Students choose between a thesis (research) and a non‑thesis (coursework/project) option, allowing preparation either for industry or for further academic work.

• Core topics: deterministic and stochastic optimisation, mathematical modelling, probability and statistics for engineers, and simulation of systems.
• Typical specialised modules: production and operations planning, supply‑chain management, quality engineering and reliability, human factors and ergonomics, lean manufacturing, systems engineering, and industrial data analytics.
• Research and project work: students on the thesis route undertake original research under faculty supervision; coursework students complete an applied capstone project or practicum with real‑world data or industrial partners.
• Methods and tools: coursework emphasises software and quantitative tools including optimisation solvers, simulation packages, statistical analysis and scripting for data processing.

Entry requirements

Applicants are normally expected to hold a bachelor’s degree in industrial engineering, mechanical engineering, manufacturing engineering or a closely related quantitative discipline. Admissions consider academic record, letters of recommendation, a statement of purpose and evidence of quantitative preparation.

• Academic preparation: undergraduate coursework in calculus, linear algebra, probability/statistics and at least one engineering fundamentals course is typically required.
• Documentation: official transcripts and at least two academic or professional references are normally required; a clear statement of purpose explaining objectives and relevant experience helps the application.
• Standardised tests and English language: GRE requirements may vary by year or applicant profile; international applicants must demonstrate English proficiency through recognised tests unless otherwise exempt.
• Professional experience: relevant work experience is beneficial, particularly for applicants to the non‑thesis/professional route, but is not strictly required for all applicants.

Career prospects

Graduates enter a broad range of roles that require optimisation of processes and systems. Typical job titles include industrial engineer, process engineer, quality engineer, manufacturing engineer, operations analyst, supply‑chain analyst and production manager. Graduates also move into consultancy, product and process design, logistics and healthcare systems engineering.

Employers span manufacturing, aerospace, automotive, logistics and distribution, healthcare providers, technology firms and management consultancies. The programme also prepares students for doctoral study and research careers in operations research, human factors and systems engineering.

Why study at Florida State University

Florida State University delivers this degree through its engineering college with faculty active in optimisation, manufacturing systems, human factors, and data analytics. Students benefit from applied research labs, opportunities for cross‑disciplinary collaboration across engineering and computer science, and connections with regional industry for internships and capstone projects.

The programme emphasises mentorship and small‑group research alongside access to the broader resources of a major research university, including computing facilities, career services and student engineering organisations that support professional development and networking.