Georgia Institute of Technology

What you'll study

The MS in Industrial Engineering at Georgia Tech is delivered through the H. Milton Stewart School of Industrial & Systems Engineering (ISyE) and combines rigorous foundations with applied coursework. Students choose between a thesis research pathway and a coursework-based pathway, allowing focus on research or professional practice.

• Core topics: optimisation and operations research, stochastic processes and queueing theory, statistics and probability for engineers, decision analysis, and systems modelling.
• Typical modules: mathematical programming (linear, nonlinear, integer), simulation modelling and analysis, production and manufacturing systems, supply chain engineering, reliability and quality engineering, human factors and ergonomics, and computational methods for large-scale systems.
• Data and computation: courses covering applied machine learning, data analytics for decision-making, simulation software, and discrete-event simulation are commonly available, reflecting the school's emphasis on data-driven systems design.
• Research and project work: thesis students undertake supervised research within ISyE research groups; coursework students complete capstone projects or directed studies that address industry-relevant problems. Collaborative projects with industry partners and interdisciplinary labs are typical.
• Electives and specialisations: students can tailor studies toward supply chain and logistics, manufacturing systems, healthcare systems engineering, human-centred systems, or analytics and computation by selecting appropriate electives and research advisors.

Entry requirements

Applicants should hold a recognised bachelor’s degree in industrial engineering, another engineering discipline, mathematics, physics, computer science or another quantitative field. Admissions consider academic transcripts, letters of recommendation, a statement of purpose outlining objectives and fit with ISyE, and a current CV.

• Academic background: strong undergraduate preparation in calculus, linear algebra, probability/statistics and introductory programming is expected. Applicants missing foundational coursework may be admitted with suggested preparatory courses.
• Standardised tests: reporting requirements for tests such as the GRE may vary; applicants should consult the school for current guidance.
• English language: for applicants whose first language is not English, proof of English proficiency through accepted tests is required unless exempted by institutional policy.
• Professional experience: relevant industrial or research experience is beneficial but not mandatory for admission; professional applicants often emphasise applied project work in their statements and references.

Career prospects

Graduates from Georgia Tech’s industrial engineering master’s programme enter a broad range of technical and leadership roles across industry, government and research. The curriculum emphasises analytical tools, systems thinking and hands-on problem solving valued by employers.

• Typical job titles: industrial engineer, operations research analyst, supply chain or logistics analyst/manager, process or manufacturing engineer, systems engineer, quality/reliability engineer, data scientist or analytics consultant.
• Sectors: manufacturing and automotive, aerospace, technology and software, consulting, healthcare systems, logistics and distribution, finance and public sector organisations.
• Further study and research: many graduates continue to doctoral study in engineering or operations research or transition into R&D roles in industry.

Why study at Georgia Institute of Technology

Georgia Tech’s ISyE is internationally recognised for its strength in systems engineering, analytics and operations research, offering access to leading faculty and a wide range of applied research centres. The school’s close ties with regional and global industry create opportunities for internships, collaborative projects and placement into technical roles.

• Research environment: students can engage with active research groups in supply chain, manufacturing, healthcare systems, human factors and computational optimisation.
• Facilities and industry links: access to labs, simulation facilities and industry partnerships supports applied learning and professional networking.
• Alumni network: a large, active alumni community in industry and academia helps with career development, mentoring and job placement.