Carnegie Mellon University

The Mechanics, Data Science, and Materials concentration develops skills and experiences in integrated computational materials modeling from the perspectives of mechanics and its computational aspects, computational materials science, and data science, with application to both engineered and natural materials systems.

Students gain knowledge and skills to address modern challenges in materials engineering and software development, including:
•    Computational Mechanics for Continua
•    Computational Mechanics for Atomistic Systems
•    Data Analytics
•    Sensing and Data Mining
•    Probability and Estimation
•    Characterization and Microstructural Analysis for Materials

As a Graduate, you are able to develop and employ mathematical models of complex physical systems related to the above application areas and to perform computer simulations using these models. you also are able to interpret modeling results and make decisions based on the simulations.

The following courses are recommended for this concentration, but the MS program is flexible and students should work with their academic advisors to tailor coursework towards their own individual interests and career goals.

  • 12-623 Molecular Simulation of Materials
  • 12-686 Computational Materials Modeling
  • 12-704 Probability and Estimation Methods for Engineering Systems
  • 12-709 Data Analytics for Engineered Systems
  • 27-750 Advanced Characterization and Microstructural Analysis
  • 12-755 Finite Elements in Mechanics
  • 12-761 Sensing and Data Mining for Smart Structures and Systems
  • 12-769 Continuum Mechanics of Materials

Visit the HUB for a full listing of available courses and their descriptions.

The following crosscutting courses relate to this concentration and may be of interest for additional coursework, depending on your individual academic and professional goals.

  • 12-676 Fundamental Concepts and Methods of Structural Mechanics
  • 12-701 Mathematical Techniques in Engineering
  • 12-703 Numerical Methods in Engineering
  • 12-772 Inelasticity
  • 12-735 Urban Systems Modeling
  • 12-757 Vibrations
  • 12-775 Introduction to Solid Mechanics I
  • 12-776 Introduction to Solid Mechanics II
  • 12-784 Advanced Multiscale Modeling and Computational Engineering Materials
  • 10-601 Introduction to Machine Learning
  • 15-210 Parallel and Sequential Data Structures and Algorithms

Visit the HUB for a full listing of available courses and their descriptions.

Ready to Apply?

All applications are submitted online through the CMU College of Engineering. For application information, visit our Admissions Information page.