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Artificial intelligence (AI) is transforming industries, driving the demand for engineers with AI expertise. In manufacturing, AI-powered robots and predictive maintenance improve efficiency, as demonstrated by companies like Tesla and Siemens. Healthcare uses AI for early disease detection, with IBM Watson and DeepMind leading advancements. In finance, AI strengthens fraud detection and risk management, as seen with JPMorgan and PayPal. Hence, mastering AI is now key to thriving in the future of engineering.
Recognising this growing need, Maryland Applied Graduate Engineering (MAGE) at the University of Maryland’s A. James Clark School of Engineering is launching a new Engineering Artificial Intelligence programme. This programme aims to equip engineers with the technical knowledge and practical skills to develop intelligent systems across various industries. This pioneering spirit has earned the school a global ranking of #18 for Graduate Engineering, with several programmes ranking within the top 25.
MAGE is equally impressive –– a leader in graduate engineering education for professionals committed to serving the region’s engineering community. Its location is a bonus –– situated just a few miles from Washington DC, Maryland Engineering unlocks access to high-tech companies and federal agencies and places Engineering Artificial Intelligence students in the heart of the action.
The A. James Clark School of Engineering at the University of Maryland drives research, innovation, and learning, preparing graduates to tackle the 21st century’s grand challenges. Source: University of Maryland
The programme offers a Master of Engineering and a Graduate Certificate in Engineering. Designed for flexibility, students can complete it in person, online, or through a hybrid format. The curriculum provides a rigorous technical foundation, emphasising the analysis and design of intelligent engineered devices and systems.
“AI is revolutionising industries worldwide, creating an urgent demand for engineers who can develop and implement intelligent systems,” says Dr Sennur Ulukus, Programme Content Advisor, Department Chair of Electrical & Computer Engineering, and Distinguished University Professor.
“This programme 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.”
What makes this programme stand out is its unique integration of engineering and AI principles, preparing students to shape the future of intelligent systems. From robot learning and generative AI networks to safe AI deployment and sustainable AI, the curriculum ensures that graduates are ready to tackle pressing technological challenges.
Students will gain expertise in engineering subfields, statistical inference, and machine learning. A broad selection of core and elective courses allows for further specialisation in applied areas such as Generative AI, Industrial AI, Robotic Intelligence, Cloud Engineering, Ethical and Sustainable AI, Large Language Models, and Deep Learning.
This programme provides a strong AI foundation and advanced skills in machine learning, data analytics, and embedded systems. Source: University of Maryland
Another key feature of the Engineering AI programme is its interdisciplinary approach. Developed with input from across the A. James Clark School of Engineering, it enables students to tailor their curriculum through various technical electives. Areas of focus include Bioengineering, Chemical & Biomolecular Engineering, Civil & Environmental Engineering, Cybersecurity, Cloud Engineering, Data Science & Analytics, Electrical & Computer Engineering, Embedded Systems, Materials Science & Engineering, Mechanical Engineering, Project Management, Reliability Engineering, Robotics, Software Engineering, and Systems Engineering.
Dr. George Syrmos, Assistant Dean for Continuing Education, emphasises the importance of going beyond the basics in an ever-evolving tech landscape: “Our new Engineering Artificial Intelligence programme is designed to equip professionals with the advanced skills necessary to lead in the development of intelligent systems. Graduates will be well-prepared to drive innovation in various industries, addressing the growing demand for AI expertise.”
Indeed, graduates will be equipped for careers in embedded system design, industrial and automotive systems engineering, software and data engineering, communications system design, and medical signal processing.
To make this opportunity even more accessible, MAGE offers an application fee waiver for new applicants to the Master of Engineering and Graduate Certificate in Engineering in Engineering AI for Fall 2025.
Interested? Learn more about Engineering AI at MAGE.
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