DUKE UNIVERSITY · UNITED STATES
Master of Engineering in AI + Materials
Master's · Taught in en
At a glance
18 mo
Duration
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IELTS
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Tuition / yr
en
Language
Master's
Level
- 3 SemestersProgram Length
- 8 Technical CoursesTechnical Depth
- 2 Business & Management CoursesLeadership Skills
- 1 InternshipIndustry Experience
- Dual Fluency in AI & Materials ScienceUnique Skillset
- Industry Internship IncludedCareer Preparation
Duke University offers a Master of Engineering (MEng) program focused on the intersection of Artificial Intelligence (AI) and Materials Science. This program is designed for students who want to gain expertise in using data and algorithms to drive breakthroughs in material design, testing, and improvement. Graduates will be equipped to work on advanced materials for various industries including energy, healthcare, and electronics. The curriculum emphasizes building dual fluency in both AI methodologies and materials science principles, making graduates versatile in both technical and business aspects of the field.
Curriculum
The 30-credit MEng program is completed over three semesters on Duke's campus. It integrates core technical knowledge with business acumen and practical industry experience. Students can specialize by selecting courses within Machine Learning, Materials Science, and AI/Computational Materials, with flexibility for technical electives.
- Semester 1 (Fall)
- Business Fundamentals for EngineersMENG 570
- Intro to Python and ML for EngineersME 555
- Modern MaterialsME 512
- Semester 2 (Spring)
- Management of High-Tech IndustriesMENG 540
- Intro to Mathematical StatisticsSTA 611
- Applications of AI in MaterialsME582
- Summer
- Internship or ProjectMENG 550
- Introduction to Computer VisionCOMPSCI 527
- Applied Polymer ScienceME 514
- Optimization in Mechanics & MaterialsME 524
- Semester 3 (Fall)
- Internship AssessmentMENG 551
Careers
The AI + Materials MEng program prepares graduates for a rapidly growing job market where AI and materials science expertise are in high demand. The field of "materials informatics" and AI in materials is projected to grow significantly, driven by needs in electronics, energy, aerospace, automotive, and healthcare. Duke's program equips students with skills sought after by companies, startups, and research institutions.
- Materials informatics engineer
- AI materials engineer
- Computational materials scientist
- Data scientist focused on materials discovery
- Machine learning engineer for materials
- Battery, semiconductor, or electronic materials engineer
- Product development engineer
- Process engineer
- PhD study or research roles
Frequently asked questions
- What are the entry requirements for the Master of Engineering in AI + Materials program?
- A bachelor's degree in a relevant engineering or science field is required. While undergraduate coursework in statistics or programming is recommended, it may be waived with sufficient prior experience.
- What is the duration of the Master of Engineering in AI + Materials program?
- The program is designed to be completed over three semesters, which is approximately 1.5 academic years, on Duke's campus.
- What are the career prospects after completing this program?
- Graduates are prepared for roles such as Materials Informatics Engineer, AI Materials Engineer, or Computational Materials Scientist in industries like electronics, energy, aerospace, automotive, and healthcare.
- What is the application deadline for the program?
- Specific application dates are not provided, but the application period generally opens in the Fall for admission to the following academic year.
- Are there any scholarships available for international students in this program?
- Information regarding scholarships for this specific program was not available on the provided pages.
- What documents are required for the application?
- Applicants must submit transcripts, letters of recommendation, a personal statement or essays, and a resume or CV as part of the application.
Entry requirements
Bachelor's DegreeA bachelor's degree in a relevant engineering or science field is required. Specific prerequisites may include undergraduate coursework in statistics or programming, which can be waived with sufficient prior experience.
Prospective students should choose the "MEng in Materials Science and Engineering" and then the "AI + Materials" track when applying.
Fees
Tuition (international)Tuition fees are not specified on the provided pages.
Tuition (home)Tuition fees are not specified on the provided pages.
LivingEstimated living costs are not specified on the provided pages.
Information regarding tuition and living costs for international students was not available on the provided fee pages.
How to apply
1. Select the Program and TrackIn the application portal, choose "MEng in Materials Science and Engineering" and then select the "AI + Materials" track.
2. Submit ApplicationComplete and submit the online application form.
3. Provide Required DocumentsUpload all necessary supporting documents as specified in the application requirements.
4. Application ReviewDuke practices holistic admissions, reviewing the entire applicant profile rather than focusing solely on scores. This includes academic performance, essays, recommendations, and experiences outside the classroom.
Accreditation
This program is part of Duke's Pratt School of Engineering.
Frequently asked questions
What are the entry requirements for the Master of Engineering in AI + Materials program?
+
A bachelor's degree in a relevant engineering or science field is required. While undergraduate coursework in statistics or programming is recommended, it may be waived with sufficient prior experience.
What is the duration of the Master of Engineering in AI + Materials program?
+
The program is designed to be completed over three semesters, which is approximately 1.5 academic years, on Duke's campus.
What are the career prospects after completing this program?
+
Graduates are prepared for roles such as Materials Informatics Engineer, AI Materials Engineer, or Computational Materials Scientist in industries like electronics, energy, aerospace, automotive, and healthcare.
What is the application deadline for the program?
+
Specific application dates are not provided, but the application period generally opens in the Fall for admission to the following academic year.
Are there any scholarships available for international students in this program?
+
Information regarding scholarships for this specific program was not available on the provided pages.
What documents are required for the application?
+
Applicants must submit transcripts, letters of recommendation, a personal statement or essays, and a resume or CV as part of the application.