Quantic’s MSAIE emphasizes hands-on, applied learning that prepares you to build real AI systems. Through projects that integrate advance models, AI-based applications and agentic workflows, you'll learn how to translate real-world business problems into cutting-edge AI solutions. This approach sharpens your AI technology skills and business judgment while connecting you with peers, industry experts, and networking opportunities to help you shape the future of AI.
Our teaching approach transcends traditional lecture-based education, blending intuitive active learning with guidance from expert faculty, and honed with the precision of artificial intelligence.
The curriculum consists of 0 required concentrations, 2 specializations, and 1 Capstone Project during the course of study.
Social Learning
Quantic’s peer-based learning is enhanced by integrating SCRUM methodologies and a team-based capstone project. Working together, students tackle real-world AI engineering challenges, fostering collaboration and networking with peers across the globe, mirroring professional engineering environments.
Get to know your MSAIE peers and the rest of the Quantic community through a robust calendar of virtual academic events led by faculty and industry experts and optional in-person meetups help in cities around the globe. You’ll also gain access dozens of student-led, interest-based organizations.
The Master of Science in AI Engineering degree is awarded by Quantic School of Business and Technology, a DEAC accredited, degree granting institution of higher education, licensed by the Office of the State Superintendent of Education (OSSE) of Washington, DC.
Quantic's degree programs are widely praised by students for their rigor, efficacy, and flexibility. Paired with a diverse, global network of high-achieving peers, students receive an exceptional education that rivals top schools.
Taylor Weibley
Senior Customer Engineer, Google
“With experience in scaling and operating web applications, I’ve seen software engineering evolve from agile development to AI-assisted tools. Quantic’s focus on modern methodologies is the ideal place to deepen my knowledge and advance industry practices.”
Chris Franklin
Senior Software Developer, McKesson
“I selected the MSSE program to strengthen my understanding of core software engineering principles and to acquire hands-on experience with AI and machine learning. I am particularly excited about the Capstone Project, where I can work with a team to develop a practical and useful application.”
