Master of Science in AI Engineering

Quantic School of Business and Technology

Building the AI Economy

Go from a technology generalist to an AI engineer in just a year. Quantic's Master of Science in AI Engineering (MSAIE) equips modern tech professionals to become AI engineers who design, deploy, and orchestrate advanced systems built on today's most powerful AI models and the frontier capabilities ahead. This fully online program pairs flexible, asynchronous coursework with real-world projects, preparing you to step into a pivotal role at the center of the AI economy.

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Student Experience

Master of Science in Software Engineering Class Profile

40

Countries

70%

7+ Years Work Experience

Companies

Top Employers

Source: Projected Class Profile based on Quantic’s Master’s in Software Engineering.
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We evaluate applicants on education, work experience, and technical attributes. Students in the Master of Science in Software Engineering represent some of the world's top companies and have demonstrated technical ability in their field.

MSSE students class
Source: Composite summary of students enrolled for the April, 2025 starting cohort.
Aspiring technical innovators

Builders of the AI Economy

Tailored for recent graduates and career shifters aiming to enter the fast-growing field of AI engineering. Candidates complete a required foundational module to build the core skills needed to succeed in a curriculum centered on designing, deploying, and integrating systems powered by advanced AI models.

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Learn to Engineer Intelligence

Advance your capabilities with targeted training in AI systems engineering, foundation model integration, agentic workflows, and scalable intelligent infrastructure. These technologies, paired with our world-class networking opportunities and career support, prepare you to lead in organizations building products and platforms powered by AI.

More on outcomes

Capstone: AI in Action

The MSAIE capstone challenges you to design and deliver an end-to-end AI system. Over five months, you'll work in an agile team of exceptional peers to build, evaluate, and deploy a functional solution powered by advanced AI models. Your final project is showcased through a public GitHub repository and real-world demonstration, preparing you to engineer and lead AI initiatives.

More on the Curriculum

Invest in Future-Ready Skills

Earning a degree in this burgeoning, in-demand field, at a fraction of the cost of traditional MSAIE programs, gives you unmatched return on your investment. With Quantic's agile platform, the MSAIE is an investment in a future where your skills remain just as cutting-edge as technology shaping the business world and modern life.

Learn about our innovative tuition model.

Apply to the MSAIE

How Does the Master of Science in AI Engineering Compare?

The Master of Science in AI Engineering is a selective, flexible, and radically affordable program. While few comparable AI engineering degrees exist today, you can see how Quantic's program stacks up against other top software engineering degrees.
Duration
Emphasis on AI Engineering
Scholarships available
Mobile-First curriculum
Tuition
Quantic
Duration

13 months

Emphasis on AI Engineering

High

Scholarships available
Mobile-First curriculum
Tuition

$21,450

University of Oxford

24 months

Low

$61,000

University of Southern California

24 months

Low

$85,000

Carnegie Mellon University

18 months

Low

$91,000

What people are saying

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

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

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.”

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Start learning with Quantic.