Artificial Intelligence in Engineering Design Graduate Certficate

This graduate certificate is designed to prepare students for advanced careers at the intersection of systems engineering and artificial intelligence. Grounded in academic principles and enriched by industry relevant applications, the certificate emphasizes the design, integration and evolution of complex systems within data intensive and technology driven environments.

Who should consider this certificate?

• Students who are pursuing a full-time graduate degree at Stevens.

• Professionals currently employed in systems engineering, software development or enterprise technology roles who are seeking to enhance their expertise in systems thinking and AI through part-time graduate study at Stevens.

Educational Objectives

The AI-Enabled Systems Engineering Graduate Certificate is designed to:

• Prepare students who are interested in pursuing careers in systems engineering, enterprise architecture or applied AI across complex, data-driven industries.

• Identify and apply systems thinking principles to the design and analysis of large-scale, integrated systems.

• Learn to analyze and evaluate system architectures, incorporating AI and machine learning tools to enhance functionality and performance.

Educational Outcomes

Upon completion of the certificate, students will be able to:

• Basic understanding of systems engineering principles, including lifecycle processes, requirements and stakeholder analysis.

• Ability to design and evaluate system architectures with attention to structure, behavior and performance trade-offs.

• Applied knowledge of AI and machine learning methods to support decision-making and automation in complex enterprise systems.

• Ability to design and implement AI-enhanced software components and evaluate architectural alternatives in intelligent systems

• Understand how to integrate AI/ML tools into broader system workflows, addressing technical, human and organizational considerations.