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Artificial Intelligence for Product Innovation Master of Engineering

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

As a Duke AI Master of Engineering student, you'll build strong technical skills complemented by an appreciation of the business and ethical considerations of implementing AI and machine learning in products and systems.  Our program specializes in the application of AI to solve challenging problems facing our world today in areas such as energy, health, education, transportation, safety and resources.


Industry-connected Curriculum

Our novel core curriculum was developed in close collaboration with industry to prepare graduates with the skills they need to solve problems on the job day one, whether they choose to work for a large company or start their own venture.

As a Duke master's student, you will:

  • Build a personal portfolio of real-world, hands-on projects tackling problems that matter in our world
  • Receive individualized academic and career advising
  • Be engaged with outstanding peers from around the world, and with our world-class faculty

Flexibility and Options

Less than 2 years on-campus, or 24 months online

Due to its innovative, immersive structure, participants are able to complete the program in either 12 or 16 months on-campus, or online part-time in 24 months.

12-Month Accelerated Option

Students who pursue the accelerated 12-month option pay tuition for only two (2) full semesters plus three (3) summer session credits—resulting in a total cost to students significantly more affordable than traditional master's programs that require three to four semesters of tuition.

4+1 for Duke Undergraduates

Duke undergraduate students can earn the degree in five (5) years through the 4+1:BSE+Master's option.  Duke 4+1 students are eligible for the AIPI 4+1 scholarship which covers 20 percent of the Master of Engineering costs for students transferring to at least two (2) graduate-level courses.

MD/MEng AIPI Dual Degree

MD candidates in Duke's School of Medicine can complete the MEng AIPI during their third year of medical school through Duke's MD/MEng dual degree program.  Dual degree students who are accepted into the AIPI program are eligible for the MD/MEng AIPI scholarship which covers 20 percent of the Master of Engineering costs for eligible dual degree students. The program is part of Duke MEDx, a joint initiative between Duke's Pratt School of Engineering and School of Medicine.


Degree tracks

The AIPI program offers the choice of two degree tracks, aligned to common career paths for graduates of the program.  Tracks enable students to develop more specialized skillsets through the choice of electives aligning to each track.  Students may alternatively customize their own pathway through choice of electives.

Technical track

The Technical Track prepares students for careers in the hands-on development of AI-based products and systems.  Elective options through the AIPI program or other departments within the School of Engineering enable students to hone their technical skills and build expertise in particular aspects of AI/ML in preparation for careers as data scientists or machine learning engineers across a variety of industries.

Technology Management track

The Technology Management Track prepares students for careers in the management of AI products or projects.  Electives taken through the AIPI program or the Master of Engineering Management program provide a foundation in the key skills of project management, product management, and design thinking required to bring AI-based products to market.  


Curriculum Schedules

The core curriculum follows a cohort-based course sequence

On-Campus: Completed in 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: AI in Practice 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: Completed in 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 MENG 540: Management of High-tech Industries
  AIPI 520: Modeling Process & Algorithms MENG 570: Business Fundamentals for Engineers AIPI 561: Operationalizing AI (MLOps) Elective 2
AIPI 530: AI in Practice AIPI 549: Industry Capstone Project Industry Internship or Project  
AIPI 501: Industry Seminar Series Elective 1   

Part-time Online: Completed in 24 Months

Summer Fall 1 Spring 1 Summer 1 Fall 2 Spring 2 Summer 2

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

AIPI 510: Sourcing Data for Analytics AIPI 520: Modeling Process & Algorithms AIPI 540: Deep Learning Applications AIPI 530: AI in Practice AIPI 549-550: Capstone Project
 

MENG 540: Management of High-tech Industries

MENG 570: Business Fundamentals for Engineers AIPI 560: Legal, Societal & Ethical Implications of AI Elective 1 Elective 2 AIPI 561: Operationalizing AI (MLOps)
AIPI 501: Industry Seminar Series  

Browse course descriptions »


Degree Requirements

Entry Bootcamp

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

10 Courses

  • Four (4) Technical AI/ML core courses, designed in collaboration with industry leaders
  • Two (2) AI Operations core courses, focused on deploying and managing AI products in production (MLOps), and the legal, societal and ethical implications of AI
  • Two (2) Management core courses, developed with Duke's Law School and Fuqua School of Business
  • Two (2) Elective courses, enabling students to develop specialized skills in preparation for their career trajectory

Browse course descriptions »

2 Industry Experiences

  • A machine learning/AI capstone project to address a real-world problem or opportunity faced by a sponsor organization
  • A summer internship or industry project to gain hands-on experience working directly with an industry organization

More »

Industry Seminar Series and Campus Residencies

  • All students participate in a seminar series to learn from industry leaders building AI products
  • Online students also attend two (2) week-long on-campus residencies at Duke

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

  Online (part-time) On-Campus (full-time)
Minimum Time to Degree 24 months 12 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

More Details

Click to open

Campus—Typical Full-Time Schedule

  Technology Management Core Technical Core Electives AI Operations Core
Summer (Prerequisite)  

Online Python & Data Science Math Bootcamp

   
Fall MENG 570:
Business Fundamentals for Engineers

AIPI 510:
 Sourcing Data for Analytics

AIPI 520:
 Modeling Process & Algorithms

AIPI 530:
 AI in Practice

  Industry Seminar Series 1
Spring MENG 540:
 Management of High-Tech Industries

API 540:
Deep Learning Applications

Elective 1

Elective 2

Industry Seminar Series 2

AIPI 549:
Capstone Project

Summer      

AIPI 560:
Legal, Societal & Ethical Implications of AI

AIPI 561:
Operationalizing AI (MLOps)

AIPI 550:
Internship or Project

Online—Typical Part-Time Schedule

  Technology Management Core Technical Core Electives AI Operations Core
Summer (Prerequisite)  

Online Python & Data Science Math Bootcamp

   
Fall 1 MENG 570:
 Business Fundamentals for Engineers

AIPI 510:
Sourcing Data for Analytics

  Industry Seminar Series 1
Spring 1 MENG 540:
 Management of High-Tech Industries

AIPI 520:
 Modeling Process & Algorithms

 

Industry Seminar Series 2

Summer 1  

AIPI 530:
 AI in Practice

 

AIPI 560:
Legal, Societal & Ethical Implications of AI

Residency 1

Fall 2   AIPI 540:
Deep Learning Applications
 Elective 1

 

 

Spring 2      Elective 2 AIPI 549:
Capstone Project 1
Summer 2      

AIPI 550:
Capstone Project 2

AIPI 561:
Operationalizing AI (MLOps)

Residency 2

Tuition and Financial Aid

Tuition

Campus Master of Engineering Programs

Tuition

In General

Tuition for campus-based Duke Master of Engineering programs for the 2021-2022 academic year is $29,088 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 $66,902.40. The internship course does not incur tuition charges.

2021-2022 Campus Tuition, Fees, and Estimated Expenses

For one year of study

Tuition $66,902

($29,088/semester and $8,726/summer session*

Health Fee $858*
Health Insurance $3,750**
Graduate Student Activity Fee $37
Graduate Student Services Fee $20*
Transcript Fee $120*
Recreation Fee

$342

Room $10,548
Board $3,375
Books $632
Transportation and Misc. $5,337

TOTAL

$91,921
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 $517 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 Artifical 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.

Cost of Living

The cost of living is estimated for 2021-2022 academic year. The actual cost of living depends on individual lifestyle. Cost may also differ for international students.

Transcript Fee

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

Student Health Fee

All students are assessed a fee each semester for the use of the Student Health Service.  The fee is estimated $429* per semester and is distinct from the health insurance; it does not provide major medical coverage.

Health Insurance

Students will be charged for health insurance in the fall semester, unless proof of other health insurance is provided. For 2021-2022, the Student Health Insurance is estimated to be $3,750*. Information on the coverage provided by this insurance is available from the Office of the Bursar.

Graduate Student Activity Fee

All graduate students will be charged a student activity fee per semester. 

Graduate Student Services Fee

All graduate students will be charged a fee to support Graduate student services.

Recreation Fee

All graduate students will be charged a recreation fee per semester for the use of on-campus facilities.

Audit Fees

Auditors are permitted on a space-available basis with the consent of the instructor. Students who pay by semester can audit courses at no additional cost. Students who pay by unit/course must pay a fee to audit courses. Note that some Physical Education courses may incur additional fees even if the student is auditing at no cost.

Vehicle Fee

Students should contact Duke University Parking and Transporation for details.

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 the Office of Bursar for information regarding:

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

Online Master of Engineering Programs

Tuition for online Duke Master of Engineering programs for the 2021-2022 academic year is $8,726.50 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 $87,265. Please note that the internship courses do not incur tuition charges.

2021-2022 Online Tuition, Fees, and Estimated Expenses

Tuition

$87,265

($17,453 per semester) *

Transcript Fee $120 *
Residency Fee

$2,400

($1,200/residency)

Books $632 *
TOTAL $90,417
Notes

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

Also:

  • Domestic students can estimate $108 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 the Office of the Bursar for information on the following:

  • 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 2021-2022 academic year is $7,365 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 $29,460.

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. Please check back for updates.

Important Note for International Applicants

Please Note: These stand-alone online certificate programs do 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:

Tuition $7,265 per 3-credit class, and a total of $29,460 for the certificate **
Transcript Fee $120 **
Books $316
TOTAL $29,896

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.

For more information is available at meng.duke.edu »

Duke Undergrads: 4+1 Option

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