Materials Informatics Graduate Certificate Program
NC State’s Materials Informatics Graduate Certificate blends materials science, engineering, and data science to prepare professionals for the future of intelligent materials design. Learn to harness AI and high-throughput methods to accelerate discovery and advance your career.
Why Study Materials Informatics?
1 Linda Burtch, “The Burtch Works Study Salaries of Data Scientists & Predictive Analytics Professionals,” 2019.
Increased demand for professionals with domain knowledge
Increased demand for the ability to handle heterogeneous data
2 Kumaresh Pattabiraman, “LinkedIn’s Most Promising Jobs of 2019,” 2019.
Certificate Completion Requirements
A total of four classes (12 credit hours) is required, including the core course MSE 723 (3 credit hours) and three MSE and ST or MA elective courses (9 credit hours). At least one course must be taken from each elective category. The fourth course will be taken from outside of the student’s degree department. For example, an MSE student’s fourth course must be from the ST or MA list (below), whereas a ST or MA student’s fourth course must be from the MSE list (below).
By judicious selection of elective courses, in consultation with the MI GCP Coordinator, students can customize their GCP to focus on areas of interest to them.
* signifies courses that are offered online
MSE 723 – Materials Informatics
The MSE 723 course aims to introduce the emergent field of materials informatics and current approaches that employ informatics and experimental and computational data to accelerate the process of materials optimization, discovery and development. An emphasis will be placed on practical implementation of machine-learning techniques to various materials science problems.
Offered Even Fall Terms
MSE Electives (select at least one)
- MSE 710* Elements of Crystallography and Diffraction (Fall)
- MSE 721* Nanoscale Simulations and Modeling (Odd Fall)
- MSE 791* Quantitative Materials Characterization Techniques (Fall)
- MSE 791* Density Functional Theory in MSE (Spring)
ST/MA Electives (select at least one)
- ST 517* Statistical Methods I (or equivalent introductory to statistics course). ST grad students are not permitted to use it for certificate credit. (Fall and Summer)
- ST 533 Applied Spatial Statistics (Spring)
- ST 540 Applied Bayesian Analysis (Spring)
- MA 540* Uncertainty Quantification for Physical and Biological Models (Fall and Spring)
Admission Requirements
- BS degree in the sciences or engineering from an accredited four-year college or university
- Overall GPA of at least 3.0
- Potential applicants without the prior background in Materials Science and Engineering are advised to complete MSE 500 prior to applying, although success in that course does not guarantee admission into the certificate program.
- Distance education students enrolled through Engineering Online (EOL) are eligible to apply for the MI GCP. With many online MSE and Statistics (ST)/Mathematics (MA) courses to choose from, students can customize their particular certificate programs to focus on specific areas of materials science that interest them.
- Check The Graduate School’s Priority Application Deadlines.
How to Apply
- New students must complete the Graduate School application. Academic success might have a strong bearing on admission to a degree program, but completion of a certificate program in no way guarantees entry into a graduate degree program, which is done through a separate application process.
- Current NC State graduate students must complete the data entry form and Plan of Work Form and email them to Ms. Hillary Stone and Dr. Yara Yingling. Current NC State students should not complete the Graduate School application.
Contact
MI GCP Director
Professor Yaroslava Yingling
Associate Department Head, Director of Undergraduate Programs, Kobe Steel Distinguished Professor
yara_yingling@ncsu.edu
919-513-2624
MI GCP Student Coordinator
Hillary Stone
MSE Academic Advisor
hmstone2@ncsu.edu
919-515-4683