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Artificial Intelligence for Product Innovation Master of Engineering

Our program is recognized as one of the top applied AI/ML graduate programs in the world

Students in our MEng AI for Product Innovation program develop strong technical skills in AI and machine learning together with an understanding of how to design and build AI-powered software products.

Graduates go on to work in leading companies solving difficult problems across many industries, such as tech, health care, energy, retail, transportation, and finance—or pursue their own entrepreneurial ventures.

Learn to:

  • Design and develop machine learning systems for scale, security and usability
  • Apply traditional machine learning 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
  • Design and deploy software applications in production

Our students come from a variety of engineering and science backgrounds.


Industry-connected Curriculum

This degree's core curriculum was developed in collaboration with the industry.

  • Build a personal portfolio of real-world, hands-on AI and machine learning projects
  • Receive individual advising, academic and career, from outstanding, world-class faculty
  • Be engaged with peers from around the world as part of a small, intimate & immersive cohort

We prepare graduates who are ready to solve problems on the job, starting on Day 1.  

Our curriculum covers both the theory and application of AI and machine learning, with a heavy emphasis on hands-on learning via real-world problems and projects in each course.  

Students also have two opportunities to work directly with industry leaders during the program: through the semester-long industry capstone project and through their summer internship.


Flexibility and Options

12 or 16 months on-campus, or 24 months online

Innovative and immersive, this master's degree can be completed in 12 or 16 months on-campus, or online part-time in just 24 months.

12-Month Accelerated Option

Significantly more affordable than a traditional master's program—in this option, pay tuition for only two (2) full semesters plus three (3) summer session credits.

16-Month Option

Pursue this degree over three (3) full semesters plus summer—allowing you time to take additional electives and specialize.  Students pursuing this path may take a partial load or a full load of courses during their final semester.

4+1: BSE+Master's Option for Duke Undergrad

Duke undergraduate students can complete undergrad and this master's degree in just five (5) years.

Scholarship opportunity: The AIPI 4+1 scholarship covers 20 percent of the costs. Eligibility and other conditions apply.

MD-Master of Engineering in AI for Product Innovation Dual Degree

Medical students at Duke can complete this degree during the Third Year.

Scholarship opportunity: The MD-MEng AIPI scholarship covers 20 percent of the costs. Eligibility and other conditions apply. Offered in partnership with Duke MEDx.


Career paths

Graduates from our program go on to work in a variety of industries depending on their interests and backgrounds.

Some join the largest technology, engineering, and health care companies while others have started their own startup ventures.  Many students choose to pursue one of two different roles within companies across industries: ML Engineer, and Data Scientist.

To best prepare students for these career trajectories, the AIPI program offers two different optional tracks, differentiated primarily through the choice of electives. In addition, students may elect to develop their own track by taking electives across the Pratt School of Engineering and elsewhere within Duke.

Machine Learning Engineering Track

Prepare for a career in designing, building and deploying ML models and software applications

  • Sharpen your software development skills and build expertise in AI and machine learning
  • Build a strong foundation in the theory and programming of ML, together with MLOps skills
  • Learn to design, build and deploy machine learning models in production
  • Take elective courses in data engineering, cloud computing, computer vision, NLP, or reinforcement learning

Students who have prior background in programming or software development and an interest in a career path as an ML Engineer are encouraged to pursue this track.

Data Science Track

Prepare for a career in analyzing and modeling data to solve domain-specific problems

  • Leverage your educational or work background in a field of engineering, medicine or science together with new skills in data analysis and machine learning
  • Solve challenging problems in your field
  • Take elective courses in statistical analysis, data visualization, optimization, or modeling

Students who have a background in a field of engineering, medicine or science not related to computer science, and desire to merge their domain expertise with ML skills to pursue a career path as a Data Scientist are encouraged to pursue this track.

Design Your Own Track

Customize your own pathway through the strategic choice of electives from the Pratt School of Engineering or elsewhere in Duke (with approval).


Curriculum Schedules

The core of the curriculum follows a cohort-based course sequence

On-Campus Accelerated Option: 12 Months

Summer Fall Spring Summer

Pre-requisite—
AIPI 503: Python & Data Science Math Bootcamp

AIPI 510: Sourcing Data for Analytics MENG 540: Management of High-tech Industries AIPI 560: Legal, Societal & Ethical Implications of AI
  AIPI 520: Modeling Process & Algorithms AIPI 540: Deep Learning Applications AIPI 561: Operationalizing AI (MLOps)

AIPI 530: Optimization in Practice OR

AIPI 531: Deep Reinforcement Learning Applications

AIPI 549: Industry Capstone Project Industry Internship or Project
MENG 570: Business Fundamentals for Engineers Elective 1   
AIPI 501: Industry Seminar Series Elective 2

On-Campus: 16 Months

Summer Fall 1 Spring Summer Fall 2

Pre-requisite—
AIPI 503: Python & Data Science Math Bootcamp 

AIPI 510: Sourcing Data for Analytics AIPI 540: Deep Learning Applications AIPI 560: Legal, Societal & Ethical Implications of AI

AIPI 530: Optimization in Practice OR

AIPI 531: Deep Reinforcement Learning Applications

  AIPI 520: Modeling Process & Algorithms AIPI 549: Industry Capstone Project AIPI 561: Operationalizing AI (MLOps) Elective 2
MENG 570: Business Fundamentals for Engineers MENG 540: Management of High-Tech Industries Industry Internship or Project  
AIPI 501: Industry Seminar Series Elective 1   

Part-time Online: 24 Months

Semester Course 1 Course 2 Additional Requirements
Summer 1 Pre-requisite—
AIPI 503: Python & Data Science Math Bootcamp
   
Fall 1 AIPI 510: Sourcing Data for Analytics MENG 570: Business Fundamentals for Engineers AIPI 501: Industry Seminar Series
Spring 1 AIPI 520: Modeling Process & Algorithms MENG 540: Management of High-Tech Industries  
Summer 2 AIPI 540: Deep Learning Applications   On-campus Residency
Fall 2

AIPI 530: Optimization in Practice

or

AIPI 531: Deep Reinforcement Learning Applications

Elective 1  
Spring 2 AIPI 549: Capstone Project Elective 2  
Summer 3 AIPI 560: Legal, Societal & Ethical Implications of AI AIPI 561: Operationalizing AI (MLOps)  

On-campus Residency


Browse course descriptions »


Degree Requirements

Entry Bootcamp

  • Summer Online Python & Data Science Math Boot Camp More »

10 Courses

  • Four (4) AI/ML courses—a strong technical foundation
  • Two (2) Operations courses—deploying and managing AI products in production (MLOps), and the legal, societal and ethical implications of AI
  • Two (2) Management courses—developed with Duke's Law School and Fuqua School of Business
  • Two (2) Electives—specialize in preparation for your chosen career

Browse course descriptions »

2 Industry Experiences

  • Capstone project—design a solution to an authentic opportunity offered by a sponsoring organization
  • Summer internship or industry project—gain industry experience

More »

Industry Seminar Series and Campus Residencies

  • Learn from leaders building AI products during regular industry seminars
  • Meet peers and faculty during two (2) required week-long residencies on the Duke campus

The choice of online or on-campus is up to you—All students take the same courses, learn from the same faculty, and earn the same Duke degree.

Compare Online and On-Campus

 Item Online (part-time) On-Campus (full-time)
Time to Degree 24 months 12 or 16 months
Python & Data Science Math Boot Camp Online 6-week part-time Online 6-week part-time
Class Experience
  • Live and recorded classes
  • Online interaction with faculty and peers
  • Class attendance at Duke
  • In-person and online interaction with faculty and peers
Professional Development
  • 2 one-week residences at Duke
  • Industry seminar series
Industry seminar series
Academic Advising
  • Online interaction with a faculty advisor
  • In-person during residencies
In-person and online interaction with a faculty advisor
Career Services & Professional Development Support from career services professionals specialized in assisting engineering master's students Support from career services professionals specialized in assisting engineering master's students

More Program Details

Tuition and Financial Aid

Tuition

Campus Master of Engineering Programs

Tuition

In General

Tuition for campus-based Duke Master of Engineering programs for the 2022-2023 academic year is $30,250 per semester taken at the university.

Tuition for the Master of Engineering in Artificial Intelligence for Product Innovation over two semesters and a summer session would result in a total tuition cost of $69,575. The internship course does not incur tuition charges.

2022-2023 Campus Tuition, Fees, and Estimated Expenses

For 1 year of study

Item Amount
Tuition $69,575
($30,250/semester and $9,075/summer session)*
Health Fee $1,125*
Health Insurance $3,785**
Graduate Student Activity Fee $37
Graduate Student Services Fee $22*
Transcript Fee $120*
Recreation Fee

$342

Room $13,920
Board $4,740
Books $835
Transportation and Misc. $7,512

TOTAL

$102,013
Notes

* Tuition, fees, and estimates subject to confirmation each May

** Required unless you can show proof of comparable private insurance coverage

Also:

  • Domestic students can estimate $455 in loan fees per semester if securing student loans
  • Internship courses do not incur tuition charges
  • There is no charge for registration for students in the Master of Engineering program

Normal Program Duration

  • The normal duration of the Master of Engineering in Artificial Intelligence for Product Innovation program is one year of study (2 semesters and a summer session), however, the program can be extended for an additional Fall semester to complete in 16 months
  • The normal load is 4 courses (12 units) per semester in the first year

Online Master of Engineering Programs

Tuition for online Duke Master of Engineering programs for the 2022-2023 academic year is $9,075 per course taken at the university.

In general, completion of the 30 required credits over five semesters would result in a total tuition cost of $90,750. Please note that the internship courses do not incur tuition charges.

2022-2023 Online Tuition, Fees, and Estimated Expenses

Item

Amount

Tuition

$90,750

($18,150 per semester) *

Transcript Fee $120 *
Residency Fee

$2,540

($1,270/residency)

Books $668 *
TOTAL $94,078
Notes

* Students typically take 2 courses per semester. Tuition, fees, and estimates subject to confirmation each May

Also:

  • Domestic students can estimate $455 in loan fees per semester if securing student loans
  • No tuition is charged for course credits received for internship, internship assessment, or residency courses. There is a room and board fee associated with residency
  • There is no charge for registration for students in Duke Master of Engineering programs

Transcript Fee

All entering students will be charged in the first semester a one-time mandatory fee of $120 for transcripts. This fee entitles the student to an unlimited number of Duke transcripts.

Transportation and Parking

Online Master of Engineering students will be responsible for arranging their own travel to Duke, but transportation and parking will be provided once on campus.

Payment of Accounts

The Office of the Bursar will issue invoices to registered students for tuition, fees, and other charges approximately four to six weeks prior to the beginning of classes each semester.  The total amount due on the invoice is payable by the invoice late payment date, which is normally one week prior to the beginning of classes.  A student is required to pay all invoices as presented and will be in default if the total amount is not paid in full by the due date.  A student in default will not be allowed to receive a transcript of academic records or receive a diploma at graduation.

Contact Duke's Office of the Bursar for:

  • Monthly Payment Option
  • Late Payment Charge
  • Refunds for Withdrawal from School during fall and spring semesters

Online Certificate Programs

Tuition

Tuition for the Graduate Certificate in AI Foundations for Product Innovation in the 2022-2023 academic year is $7,659 per course.

There are two semesters per academic year. Students typically take one course per semester. At current rates, completion of the four required courses to earn a stand-alone online certificate would result in a total tuition cost of $30,636.

Transcript Fee

All entering students will be charged in the first semester a one-time mandatory fee of $120 for transcripts. This fee entitles the student to an unlimited number of Duke transcripts.

Not Eligible for VA Benefits or Federal Student Aid

These stand-alone online certificate programs are not currently eligible for VA benefits or federal student aid.

Important Note for International Applicants

Please Note: This stand-alone online certificate program does NOT qualify students for U.S. visa sponsorship.

Gainful Employment Disclosures*

Program Length

  • Typically 2 years for Business Foundations for Engineers Certificate, assuming 1 course per semester
  • Typically 15 months for AI Foundations for Product Innovation Certificate (1 course per semester, including summer)

Program Costs

The amounts shown below include costs for the entire program, assuming normal time to completion. There may be additional costs for living expenses. Note that this information is subject to change:

Item Amount
Tuition $7,659 per 3-credit class, and a total of $30,636 for the certificate **
Transcript Fee $120 **
Books $334
TOTAL $31,090

Notes

** Duke may change its tuition for each academic year and this estimate is based on current academic year tuition charges

Student Loans

  • Information about average student debt, monthly debt expense and debt interest rate have been withheld since fewer than 10 students have completed this program

Job Placement Rates

  • We are not currently required to calculate a job placement rate for program completers
  • Program graduates are employed in the following fields:
    • Information Technology
    • Manufacturing
    • Science, Technology, Engineering, and Mathematics
    • Transportation, Distribution, and Logistics
  • The program does not meet any licensing requirements
  • Additional Information—Date Created: 3/15/2021

* These disclosures are required by the U.S. Department of Education


For current information about tuition, please visit meng.duke.edu »

Financial Aid

Limited merit-based financial aid is available to highly qualified candidates through academic scholarships with an emphasis on increasing diversity within the program. U.S. Citizens or Permanent Residents who are underrepresented minorities may receive up to 50 percent per year in tuition scholarship through our Diversity Scholarships.  All applicants to the AIPI program are considered for available financial assistance at the time of program application.

More information is available at meng.duke.edu »

Duke Undergrads: 4+1: BSE+Master's

The Pratt School of Engineering's 4+1: BSE+Master option allows Duke students to earn both an undergraduate degree and a master's in just five years. Students may choose to start the AI for Product Innovation Master of Engineering during their undergraduate senior year.

Students who receive admission to the AIPI program through 4+1 may allocate up to four (4) graduate courses taken in the senior year toward Master of Engineering requirements. Participating students may take graduate-level electives, or AIPI core courses, in the senior year. This provides greater flexibility when scheduling the fifth year, and Duke 4+1 students are eligible for the AIPI Duke 4+1 scholarship.

Further details may be found on the 4+1 webpage. To discuss options for courses to be taken in the senior year toward the AI for Product Innovation MEng, please contact degree program Director Jon Reifschneider at jon.reifschneider@duke.edu

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