MAGE is proud to announce the launch of its groundbreaking Engineering Artificial Intelligence Master of Engineering and Graduate Certificate in Engineering degrees. Designed for early career, working engineers and technical professionals eager to master the complexities of AI, this program goes beyond theoretical concepts, focusing on the practical application of AI in real-world engineering challenges. As AI rapidly reshapes industries from healthcare to aerospace, MAGE is at the forefront, equipping engineers with the advanced skills and ethical understanding needed to lead this technological revolution.
What Makes MAGE's Engineering Artificial Intelligence Program Stand Out?
Practical, Application-Focused Curriculum: Unlike programs that focus solely on data science or computer science, MAGE's Engineering AI program is deeply rooted in engineering principles. Students will learn to design, implement, and manage AI systems within complex engineering contexts, making them uniquely prepared to integrate AI solutions into existing and future infrastructure. Solving Real-World Engineering Problems: The curriculum emphasizes applying AI to tangible engineering challenges across various sectors. From optimizing industrial processes and enhancing autonomous systems to developing intelligent infrastructure and improving predictive maintenance, graduates will be ready to make an immediate impact. Designed for Flexibility: Recognizing the demands on today's engineers, the program offers the flexibility that MAGE is known for. With online delivery and evening courses, professionals can advance their education without disrupting their careers, ensuring immediate applicability of learned concepts.
Expert Faculty at the Forefront of AI: Learn from University of Maryland faculty who are actively engaged in cutting-edge AI development. Their insights bridge the gap between academic innovation and industry application, providing students with unparalleled access to current trends and future directions in AI.
Interdisciplinary Approach: The program draws on expertise from multiple engineering disciplines, fostering a holistic understanding of AI's potential and limitations. This interdisciplinary foundation prepares graduates to collaborate effectively in diverse teams and address AI challenges from a broad perspective.
Learn more about Engineering Artificial Intelligence here.
"AI is revolutionizing industries worldwide, creating an urgent demand for engineers who can develop and implement intelligent systems. This program offers an in-depth curriculum that equips students with both foundational AI principles and advanced technical skills in areas such as machine learning, data analytics, and embedded systems. The program is uniquely positioned to combine engineering and AI principles to develop and support future intelligent systems, such as robot learning, generative AI networks, safe and secure deployment of AI, and sustainable AI. Graduates will be prepared to tackle complex challenges and lead the next wave of technological innovation."
-- Dr. Sennur Ulukus Faculty Content Advisor Department Chair of Electrical & Computer Engineering Distinguished University Professor
The Ecosystem of Innovation: AIM Institute
The Artificial Intelligence Interdisciplinary Institute at Maryland (AIM) represents the University of Maryland’s comprehensive, campus-wide commitment to leadership in the AI revolution. Launched to serve as a central hub, AIM unites over 100 faculty experts and resources across the entire campus, from engineering and computer science to law, social sciences, and the arts. Its core mission is not only to push the technical boundaries of AI research but also to focus on the responsible and ethical development of intelligent systems. By coordinating new AI degrees, supporting faculty research, and fostering interdisciplinary collaboration, AIM ensures that UMD is shaping the future of AI technology, policy, and education.
MAGE’s new Engineering Artificial Intelligence graduate program is a strategic component of this expansive AI ecosystem. The curriculum benefits immediately from AIM's mandate to coordinate cutting-edge educational programs and support specialized AI research. Students in the Engineering AI program gain access to a larger, more comprehensive network of AI resources and faculty expertise, providing a crucial advantage in the job market. This integration ensures that the technical skills acquired in the Clark School of Engineering are complemented by the broader contextual, ethical, and societal understanding championed by the Institute.
Ultimately, the synergy between MAGE and the AIM Institute provides students with a powerful, forward-thinking educational experience. Engineering Artificial Intelligence graduates are not just trained in algorithms; they are prepared to be leaders who can build trustworthy and impactful AI solutions. This alignment prepares working professionals for highly-sought-after roles at the intersection of complex physical engineering systems and artificial intelligence—a workforce prepared not simply to use AI, but to guide it responsibly for the public good and for profound technological innovation.
Learn more about AIM at aim.umd.edu.