Master of Science in Systems Engineering
Mastering Disruptive Transformation, Leading the Future of Systems Engineering
The Systems Engineering Program at the University of Arizona prepares students to design, analyze, and manage complex systems with a unique blend of theory and hands-on experience. Offered through the Department of Systems and Industrial Engineering – the first systems engineering department in the world – our program is nationally ranked and features thought leaders in the field. We offer all graduate level programs with flexible, fully online options for students. All programs emphasize real-world application through digital labs, modern tools and collaboration with industry partners. Our mission is to deliver top-tier systems engineering education that evolves with the needs of industry, government and society. Graduates are equipped to lead innovative solutions across aerospace, defense, healthcare, energy and more.
The MS in Systems Engineering is a cutting-edge program designed to provide students with the most up-to-date concepts, methodologies and tools in the field. With a forward-looking approach, it embraces the evolving landscape of systems engineering, covering the entire system lifecycle and modern systems while offering the flexibility to tailor learning paths to individual goals. This program goes beyond technical expertise, fostering strategic problem-solving, innovation and decision-making skills essential for leading complex engineering projects in a rapidly changing world.
Why Choose SIE
- A legacy of Systems Engineering leadership: Established in 1961 as the world’s first SE program, we have embedded SE excellence into the very fabric of the University of Arizona.
- Built-in Model Based Systems Engineering and Digital Engineering: Modern technologies and tools are embedded in every course and woven throughout the curriculum.
- Rigorous Science-Based Foundations: Curriculum grounded in evidence-based approaches with strong scientific underpinnings.
- Real-World Focus from Day One: Practical application is central to learning, ensuring students immediately apply concepts to real challenges.
- Virtual Labs: Cutting-edge tools used in every course through the University of Arizona Digital Engineering Factory (DEF), a state-of-the-art DE environment.
- World-Class Faculty: A unique blend of leading researchers and industry experts shaping the future of Systems Engineering.
- Guided Professional Growth: Each student is paired with one more mentor to help integrate learning into their professional role.
- Flexible, Interactive Learning: Asynchronous coursework adapts to busy schedules and collaborating spaces to engage with instructors and peers.
- Forward-Looking: Specialized methodologies for modern systems, including SoS and intelligent systems, are embedded throughout the curriculum.
- At the Forefront of SE: A member of the Systems Engineering Research Center (SERC), leading INCOSE and OMG initiatives, and shaping the field through impactful research.
Application Deadlines
Master's and Graduate Certificate Programs
- Fall Semester: January 15
- Spring Semester: June 1
AMP Programs
- Fall Semester: June 1
- Spring Semester November 1
Graduate Program Resources
MS Degree Options
| Option | Requirement | Min. Units |
| Project Option | 27 units of graduate coursework At least 3 units of SIE 909 (MS Report) | 30 |
| Thesis Option | 24 units of graduate coursework 6 units of SIE 910 (Thesis) | 30 |
| Coursework Option | 33 unites of graduate coursework | 33 |
Course Highlights
- SIE 501 – Advanced Requirements Engineering Methods (PDF)
- SIE 502 – Ontological Modeling and Simulation in Systems Engineering (PDF)
- SIE 503 – Digital Thread and Model Management (PDF)
- SIE 504 – Federated Modeling and Simulation (PDF)
- SIE 516 – Mission Engineering (PDF)
- SIE 517 – Systems Engineering Strategy and Implementation (PDF)
- SIE 519 – Advanced System Architecture (PDF)
- SIE 521 – System Integration (PDF)
- SIE 523 – Advanced Methods in Verification & Evaluation/Test and Evaluation Planning and Execution (PDF)