The Master of Science in Materials Engineering with an emphasis in Machine Learning is for students who have an interest in materials engineering that includes machine learning toward materials discovery, design, and processing. U.S. industry and cybermanufacturing are rapidly moving toward data-driven materials discovery and development. Materials engineering combined with machine learning is a novel emerging field that combines materials modeling, simulations and machine learning together into a new paradigm for materials discovery and cybermanufacturing.
Students with a Bachelor of Science in Materials Science, Chemical Engineering, Mechanical Engineering, Civil or Environmental Engineering, Industrial Engineering, Physics, and Chemistry, as well as in industry employees who plan to apply machine learning to their research and development, are ideal candidates for the program.
This degree is awarded in conformity with the general requirements of the Viterbi School of Engineering. Students may elect to work for this degree in either the Materials Science or Aerospace and Mechanical Engineering departments. The specific courses that constitute an acceptable program must be approved in advance by the administering department.
APPLICATION DEADLINES
| SEMESTER | DEADLINE |
| Fall | December 15 |
Visit our Ready to Apply page for more information
ELIGIBILITY CRITERIA
Applicants to the master's of science programs in Materials Engineering are required to have a bachelor’s degree or be in the process of completing a bachelor's degree. Degrees in any engineering or engineering-related disciplines are frequently represented among our program applicants, including but not limited to the following:
- Chemical Engineering
- Chemistry
- Civil Engineering
- Electrical Engineering
- Materials Engineering/Science
- Mechanical Engineering
- Material Science
- Physics
Applications are reviewed holistically; simply taking these courses does not guarantee admission.
APPLICATION REQUIREMENTS
The following materials are required to be included with your online application:
- Transcripts
- Resume/CV
- Personal Statement
- Letter of Recommendation (3 required)
NOTE: The GRE is not required for 2025 applications.
The following link will take you to an overview of the tuition & fees for graduate engineering students, including payment information. Both on-campus and DEN@Viterbi students pay the same tuition
TUITION AND FEES OVERVIEW
Use the link below to download the Cost of Attendance to see a summary of tuition and fees by semester. The document is a typical example and the number of courses, and time to complete the program, will vary by student.
Estimated Cost of Attendance - 28 Unit Program
2022 First Destinations Survey - Outcomes*
Alumni Employment - 2022*
(Companies & Job Titles)
- Amazon - Software Engineer
- ASML - Mechanical Development Architect
- Boeing - Materials Process & Physics Engineer MPP
- Glidewell Laboratories - Process Engineer
- Hithink Financial Services, Inc. - Data Analyst
- Huawei - Solution Test
- KLA - Field Application Engineer
.
* Information is based on a voluntary survey and should not be interpreted as a comprehensive view of the 2022 graduating class.
This program is also available online to professional engineers through DEN@Viterbi. Because the DEN@Viterbi program provides a fully equivalent academic experience, the degree a USC engineering student earns is the same whether they are on-campus or online.
If you are interested in beginning classes as a DEN@Viterbi student next semester, explore the requirements and steps to enrolling as a Limited Status Student.
Learn More About DEN@Viterbi
Detailed Program Curriculum and RequirementsSchedule of Classes
DEN@VITERBI ONLINE COURSE OFFERINGS
The following courses and program requirements serve as program planning for DEN@Viterbi students. Course offerings and availability are subject to change. Please consult with advisor if you have any questions.
| Degree Requirements |
| This degree is awarded in conformity with the general requirements of the Viterbi School of Engineering. The specific courses that constitute an acceptable program must be approved in advance by Material Science Program. |
| MASC Core Requirements - 12 units |
| MASC 515 | Basics of Machine Learning for Materials (4 units) |
| MASC 520 | Mathematical Methods for Deep Learning (4 units) |
| MASC 575 | Basics of Atomistic Simulation of Materials (4 units) |
| Electives - 16 units |
| Electives: 16 units of electives are required. Students may choose 8-16 units of MASC courses or they can choose 0-8 units of non-MASC courses. Please consult with your department advisor for elective approval. Students can apply 400 level classes towards elective requirements per adviser's approval. |
| Please note that Graduate Students Cannot Count More than 8 units of 400 Level Courses towards Their MS Degree. |
| MASC 503 | Thermodynamics of Materials (4 units) |
| MASC 504 | Diffusion and Phase Equilibria (4 units) |
| MASC 551 | Mechanical Behavior of Engineering Materials (4 units) |
| MASC 560 | Fatigue and Fracture (3 units) |
| MASC 562 | Failure Analysis (3 units) |
| MASC 583 | Materials Selection (4 units) |
| AME 503 | Advanced Mechanical Design (3 units) |
| AME 509 | Applied Elasticity (4 units) |
| AME 525 | Engineering Analysis (4 units) |
| AME 526 |Introduction to Mathematical Methods in Engineering II (4 units) |
| AME 577 | Survey of Energy and Power for a Sustainable Future (3 units) |
| AME 578 | Modern Alternative Energy Conversion Devices (3 units) |
| CE 507 | Mechanics of Solids I (3 units) |
| CE 546 | Structural Mechanics of Composite Materials (3 units) |
| CHE 501 | Modeling and Analysis of Chemical Engineering Systems (3 units) |
| EE 537 | Modern Solid-State Devices (4 units) |
| ENE 505 | Energy and the Environment (4 units) |
| ISE 515 | Engineering Project Management (3 units) |
Please complete the following form for more information.
