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: ai.meng.duke.edu/degree

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. 

4+1 Program for Duke Students

Advanced Duke undergraduates may participate in a 4+1 Program where both a bachelor’s degree and a MEM/MEng degree may be completed in about five years. 4+1 Program participants matriculating to the Artificial Intelligence MEng program may typically apply up to two graduate courses (at the 500 level or above) that were taken during their undergraduate career but not used to fulfill undergraduate degree requirements toward master's degree requirements. 

Additional academic policies for Duke undergraduates in the 4+1 Program can be found at prattprofessional.bulletins.duke.edu/policies/academic/early-programs.

Academic Requirements

• Pre-Program Bootcamp: AIPI 503 Python Bootcamp

• Technical Core (complete all)

  • AIPI 501 AIPI Seminar

  • AIPI 510 Sourcing Data for Analytics

  • AIPI 520 Modeling Process and Algorithms

  • AIPI 540 Deep Learning Applications

  • AIPI 561 Operationalizing AI

• Product Development Core (complete all)

  • MENG 540 Management of High Tech Industries

  • MENG 570 Business Fundamentals for Engineers

  • AIPI 560 Legal, Societal, and Ethical Implications of AI

• Internship/Project and Assessment (complete all)

  • MENG 550 Master of Engineering Internship/Project

  • MENG 551 Master of Engineering Internship/Project Assessment

• AI Departmental Electives (complete 6 credits from the following)

  • IDS 721

  • AIPI 500 to AIPI 599L

• Technical Electives (complete 6 credits from the following)

  • AIPI 510 to AIPI 590L

  • BME 500 to BME 850

  • CEE 500 to CEE 890

  • CYBERSEC 510 to CYBERSEC 590L

  • DESIGNTK 500 to DESIGNTK 590

  • ECE 500 to ECE 781

  • EGRMGMT 510 to EGRMGMT 590L

  • FINTECH 510 to FINTECH 590L

  • GAMEDSGN 500 to GAMEDSGN 590

  • ME 500 to ME 775

• Residency (complete all)

  • AIPI 504 Introductory Residency

  • AIPI 505 Mid-Program Residency