Applied AI Students

Your Next Move Starts Here

The MS in Applied AI is designed for ambitious students preparing to take the next step in their career. In nine months, you’ll sharpen your technical expertise, build a portfolio of applied work, and learn alongside a small cohort of peers who are equally ready to move forward.

Does This Sound Like You?

MS-AAI may be the right fit if you:

✓ Have a strong technical or quantitative foundation
✓ Have experience with programming and machine learning concepts
✓ Want to design, build, and deploy advanced AI systems
✓ Are interested in emerging AI technologies and their real-world applications
✓ Are looking to build a portfolio that demonstrates what you can do
✓ Bring professional experience, leadership, or perspectives from outside the classroom
✓ Are ready to commit to an intensive, full-time graduate experience

Bring More Than Technical Skills

The strongest MS-AAI students will bring more than technical preparation to the classroom. Professional experience, intellectual curiosity, communication skills, leadership, and perspectives from other disciplines will all contribute to a stronger learning environment. You’ll be expected not only to engage with complex technologies, but also to ask thoughtful questions, communicate your ideas, collaborate with others, and consider how AI can be applied to meaningful problems.

With a small cohort, the people around you will become an important part of the experience. You’ll learn alongside peers who bring different professional backgrounds, technical interests, and career ambitions to the classroom. Some may be preparing to move into AI engineering; others may want to build new products, explore entrepreneurial ideas, or bring advanced AI capabilities into industries where they already have experience.

Those differences matter. AI increasingly sits at the intersection of technology, business, and solving complex problems, which requires people who can approach them from more than one perspective. Classroom discussions, collaborative projects, and interactions with faculty will give you opportunities to learn from what your peers already know while building up your own skillset.