Master of Engineering in Artificial Intelligence for Product Innovation—Online

Program Code: E-EGR-AIPO
Degree Designation: Master of Engineering
Department: Institute for Enterprise Engineering
Website: masters.pratt.duke.edu/ai

Program Summary

Students in the MEng Artificial Intelligence for Product Innovation Online Program develop strong technical skills in Artificial Intelligence together with an understanding of software product design and development. After graduation students are well-equipped to build AI-based products and systems within large companies or through their own entrepreneurial ventures. Graduates go on to work in leading companies solving difficult problems across many industries, such as tech, healthcare, energy, retail, transportation and finance. 

Through the program, students will learn to: 

• Identify and assess opportunities for the application of AI/ML in products 

• Design data pipelines and ML systems for scale, security and usability 

• Apply traditional ML and deep learning models to solve challenging problems across domains 

• Build full-stack software applications integrating machine learning models utilizing the latest methods and technologies 

Innovative and immersive, this master's degree can be completed online part-time in just 24 months.

View Master of Engineering overview and academic policies.

Admissions Policies & Practices 

The Duke Artificial Intelligence for Product Innovation Master of Engineering (MEng) is designed to be accessible to participants from a variety of engineering and science backgrounds. 

Applicants should have: 

• An undergraduate degree in science or engineering (or equivalent technical work experience if your degree is in a non-technical field), and 

• Proficiency in one or more programming languages (Python preferred), and 

• Sufficient DUOLINGO, IELTS, or TOEFL English Language Testing scores (official results required; international students only), and 

• Two (2) semesters of calculus 

Prior coursework in probability and statistics and linear algebra is highly encouraged, but not required for admission. 

Academic Requirements

• Pre-Program Bootcamp (1 course)

  • AIPI 503

• Technical Core (5 courses)

  • AIPI 501

  • AIPI 510

  • AIPI 520

  • AIPI 540

  • AIPI 561

• Product Development Core (3 courses)

  • MENG 540

  • MENG 570

  • AIPI 560

• Internship/Project and Assessment (2 courses)

  • MENG 550

  • MENG 551

• AI Departmental Electives (6 credits)

  • Any 6 credits from AIPI 510-590

• Technical Electives (6 credits)

  • A comprehensive list of elective courses is available to students on the program webpage and the Stellic degree audit site.

• Residency (2 courses)

  • AIPI 504

  • AIPI 505