Mastering complexity.
Creating clarity.
Systems Engineering involves understanding complex needs and developing, testing, and deploying effective solutions in engineering, business, and the social sciences. Our program empowers you with the skills that industries and communities around the world increasingly rely on, so you can create meaningful impact wherever your career takes you.
Systems Engineering at Cornell offers a range of robust, graduate-level educational experiences, as well as opportunities to design your own degree to meet your career goals, engage in exciting multi-disciplinary research, and pursue either an on-campus or distance-learning education.
Our Programs
In the News
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Cornell Systems Engineering partners with Boeing
The partnership will provide Boeing with access to Cornell’s renowned systems engineering expertise while offering Cornell valuable insights into real-world challenges shaping the future of the field.
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Inaugural Cornell Systems Summit brings global experts to campus
Systems engineering experts worldwide from academia, industry and government gathered Nov. 3-5 at Cornell to present research and exchange insights as part of the first annual Cornell Systems Summit.
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Cornell’s new Ph.D. in robotics comes in multiple flavors
Applications are now open for Cornell’s new robotics doctoral program, which combines expertise across science and engineering, including mechanism design, modeling, dynamics, control, hardware, actuators, sensing, data science, machine learning, computing and social science.
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![Lynden Archer, right, the Joseph Silbert Dean of Engineering, presents James C. Morgan ’60, MBA ’63 with the Cornell Engineering Distinguished Alumni Award.]()
James Morgan ’60, MBA ’63, earns Engineering’s highest alumni honor
In recognition of his transformative leadership in nanomanufacturing technology, James C. Morgan ’60, MBA ’63, was presented with the Cornell Engineering Distinguished Alumni Award – the college’s highest alumni honor.
Upcoming Events
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Ezra Systems Seminar: Lang Tong (Cornell ECE)
AI Foundation Model for Cyber-Physical Systems: Generative Probabilistic Forecasting, Anomaly Detection, and Protection AI Foundation models are learning, reasoning, and decision-making architectures …
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Ezra Systems Seminar: Vincent Woon Kok Sin (Xiamen University Malaysia)
Exploring Solid Waste Solutions for Global Climate Goals Human activities have led to a global surface temperature rise of 1.1ðC compared to preindustrial levels as of the end of 2020. As one of th…
