Artificial Intelligence Program Overview

Artificial Intelligence Program Overview

Why Join Duke AI?

Duke’s AI Master of Engineering develops technical leaders who are equipped to build our future through AI and machine learning. Students build strong technical skills together with an understanding of how to design and build software products, positioning them to build new AI products and systems that solve the challenging problems our world faces.  

Our unique program differentiates itself through:

  • A strong focus on applied machine learning and MLOps to solve real-world problems
  • An experiential model of education where students learn by doing, building a portfolio of personal and team projects to show potential employers
  • A heavy emphasis on industry collaboration, with students engaging with industry leaders during their capstone projects, industry seminars, and internships
  • A diverse, close-knit cohort from all over the world and an emphasis on close interaction with our leading faculty

We Welcome Diverse Participants

The Duke AI program is designed for engineers and scientists from all regions of the world with a variety of technical and scientific backgrounds. We intentionally cultivate a diverse group of students passionate about several different fields and industries. Roughly half of our students join the program directly after their undergraduate studies, and the other half join after gaining work experience.

Many students enter the program with a strong prior background in programming or software development, while others enter with less programming experience but stronger domain-specific expertise. The unique design of our program accommodates both of these applicant profiles.

Browse Student Profiles

An Interdisciplinary Experience

At Duke Engineering, technical training is combined with management courses, industry seminars, a real-world capstone project and an industry internship to provide a well-rounded educational experience that develops both the hard skills and soft skills needed to succeed.

A Flexible Degree Designed For You

Duke has you covered: Study on-campus or online. Start with the summer pre-program online data science and programming boot camp. Finish in as little as 12 months of full-time study through the accelerated course schedule, or stay for a third semester and focus on industry-oriented electives.

Partnered with Industry

Duke’s AI curriculum was created from scratch and designed with heavy input from AI leaders across industries. Our faculty come with experience at the top of the tech industry and in successful startups prior to joining Duke. We work closely with industry partners who provide real-world projects for your Capstone Project experience, including some of the leading large techology, healthcare IT, and retail companies.

Jon Reifschneider Profile Photo
Jon Reifschneider Profile Photo

Jon Reifschneider

Executive Director, AI for Product Innovation Master’s Program

Brinnae Bent Profile Photo
Brinnae Bent Profile Photo

Brinnae Bent

Executive in Residence in the Engineering Graduate and Professional Programs

Xu Chen Profile Photo
Xu Chen Profile Photo

Xu Chen

Adjunct Assistant Professor in the Pratt School of Engineering

Natalia Summerville Profile Photo
Natalia Summerville Profile Photo

Natalia Summerville

Adjunct Associate Professor in the Engineering Graduate and Professional Programs

Great Graduate Outcomes

Duke’s Pratt School of Engineering is a vibrant teaching and research school set in one of the world’s leading universities. Our graduates are a global alumni network of leaders spanning multinational companies, small businesses, and high-growth startups.  

Duke AI students go into some of the most in-demand and exciting job roles available, such as ML Engineers, AI Engineers, and Data Scientists. Our students join companies across a variety of industries who are leading the way in applying AI/ML to their businesses.

What Tech Leaders Are Saying

Adnan Profile Image

There is a growing need for engineers with domain knowledge plus machine learning skills, and Duke’s AI for Product Innovation master’s and certificate programs help address that need with its focus on developing leaders who can apply advanced analytics to create new products & services.

Adnan Haider Senior Vice President, Analytics at Zafin, 2008 Duke Engineering Master’s Graduate
Tarun Profile Image

The strength of Duke’s reputation in AI and Machine Learning, combined with the focus on applying these technologies to solve the world’s big challenges in healthcare, retail, energy and beyond, make Duke the logical choice for someone interested in pursuing education in this space.

Tarun Thapar Head of Product, Amazon Business, 2015 Duke Engineering Master’s Graduate

Institute for Enterprise Engineering

The Duke Artificial Intelligence Master of Engineering program, offered by Duke Engineering’s Institute for Enterprise Engineering, provides cutting-edge education to meet the demands of in rapidly evolving industries.

Leveraging expertise in:

  • Computing Fundamentals
  • AI and Machine Learning
  • Cybersecurity
  • FinTech, including Blockchain
  • Engineering Management
Wilkinson Engineering Building