Online Education for Working Professionals
Simulate the processes required to develop specific materials microstructures and properties.

Computational Materials Science—Graduate Certificate

Computational Materials Science

Develop skills and competencies in computational modeling and simulation.

Simulate microstructural evolution and property change during materials processes. Apply computational principles, numerical algorithms, and programming implementation of thermodynamics of materials science. Learn the kinetics of microstructure development and microstructure-property relationships. Build skills in communication with a real-world perspective in computational materials science.

3 + 1 courses in 3 semesters.

Department Materials Science and Engineering
Admissions requirement BS degree in MSE or closely related discipline.
Contact Doug Swenson
Length 3 + 1 courses in 2-3 semesters
Effort 3 hours per credit per week
Each course 3 credits, 1 credit
Total credits 9 + 1
Course type Online or on-campus
Modality Watch class recordings on demand
Cost Based on credits and course type
Already enrolled? Speak with your advisor.

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Progress quickly with a compact curriculum.

Work with the program advisor to select courses that fit your interests and prerequisite skills.

Check your preparation.

Students with degrees in the physical sciences (engineering, physics, chemistry) are encouraged to apply.

Take 4 credits of required courses.

Take 1 credit of MSE 5970 as Perspectives on Computational Materials Science. Take MSE 5540 or MSE 4540.

MSE 5540 - Advanced Computational Materials Science: Theory, Modeling, Simulation, and Practice

Theories of materials science from list principles to constitutive laws. Materials modeling and computer simulation at multiple length and time scales. Laboratory practice of various computational methods.

  • Credits: 3.0
  • Lec-Rec-Lab: (2-0-3)
  • Semesters Offered: Fall, Spring
  • Restrictions: Must be enrolled in one of the following Level(s): Graduate

MSE 4540 - Computational Materials Science: Theory, Modeling, Simulation, and Practice

Theories of materials science from first principles to constitutive laws. Materials modeling and computer simulation at multiple length and time scales. Laboratory practice of various computational methods.

  • Credits: 3.0
  • Lec-Rec-Lab: (2-0-3)
  • Semesters Offered: Fall, Spring
  • Restrictions: May not be enrolled in one of the following Class(es): Freshman, Sophomore

MSE 5970 - Special Topics - Graduate Materials Science and Engineering

Special Topics in Materials Science and Engineering at the Graduate level.

  • Credits: variable to 4.0; Repeatable to a Max of 8
  • Semesters Offered: Fall, Spring, Summer
  • Restrictions: Permission of instructor required; Must be enrolled in one of the following Level(s): Graduate

Take 6 credits of elective courses.

Do not take both MSE 5151 and PH 5141. Choose no more than one of MEEM 4405, BE 5115, or CEE 5202. No more than 3 of the 10 credits may be 4000 level.

MSE 5140 - Mechanical Behavior of Materials

Deformation-related physical behaviors of materials in the mathematical framework of tensor analysis. Material symmetry and tensor property. Stress, strain, and elastic constitutive relation. Non-elastic strain, thermomechanical, electromechanical, and magnetomechanical behaviors.

  • Credits: 3.0
  • Lec-Rec-Lab: (3-0-0)
  • Semesters Offered: Fall
  • Restrictions: Must be enrolled in one of the following Level(s): Graduate

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PH 5151 - Quantum Field Theory for Photonics and Materials

This course will review the basics of quantum mechanics and second quantization, and cover quantum field theoretical methods, including Wick's theorem and Feynman diagram techniques, for absolute zero and non-zero temperatures (Matsubara frequencies) and their application in photonics, properties of materials and condensed matter physics.

  • Credits: 3.0
  • Lec-Rec-Lab: (3-0-0)
  • Semesters Offered: Spring - Offered alternate years beginning with the 2020-2021 academic year
  • Pre-Requisite(s): PH 3410 and PH 3411(C)

MA 4620 - Numerical Methods for PDEs

Derivation, analysis, and implementation of numerical methods for partial differential equations; applications to fluid mechanics, elasticity, heat conduction, acoustics, or electromagnetism.

  • Credits: 3.0
  • Lec-Rec-Lab: (0-3-0)
  • Semesters Offered: Fall
  • Pre-Requisite(s): (MA 3520 or MA 3521 or MA 3530 or MA 3560) and MA 3160

MEEM 4405 - Intro to the Finite Element Method

Introduces the use of the finite element method in stress analysis and heat transfer. Emphasizes the modeling assumptions associated with different elements and uses the computer to solve many different types of stress analysis problems, including thermal stress analysis and introductory nonlinear analysis.

  • Credits: 3.0
  • Lec-Rec-Lab: (0-2-2)
  • Semesters Offered: Fall, Spring, Summer
  • Pre-Requisite(s): MEEM 3400 and (MA 2320 or MA 2321 or MA 2330) and (MA 3520 or MA 3521 or MA 3530 or MA 3560)

BE 5115 - Finite Element Modeling

The course teaches both fundamentals of finite element theory and hands-on experience for bio-engineers.

  • Credits: 3.0
  • Lec-Rec-Lab: (3-0-0)
  • Semesters Offered: Spring
  • Restrictions: Must be enrolled in one of the following Level(s): Graduate

CEE 5202 - Finite Element Analysis

Introduction to the use of finite element methods in structural analysis. Covers the finite element formulation, 1- and 2-D elements, including isoparametric elements, axisymmetric analysis, plate and shell elements, dynamics, buckling, and nonlinear analysis.

  • Credits: 3.0
  • Lec-Rec-Lab: (0-3-0)
  • Semesters Offered: Spring
  • Pre-Requisite(s): CEE 4201

The minimum completion time is one semester.

Here is a typical schedule.

Fall Spring
MSE 5540
with 0-1 of
MSE 5140
MEEM 4405
MA 4620
MSE 5970
with 1-2 of
PH 5151
BE 5115

Interested in taking a single, online course? Enroll as a non-degree seeking student.

Upon completion of the certificate, students will be able to:

  1. be able compare/contrast the leading methods and approaches utilized to computationally simulate material behavior and response.
  2. be able to simulate material behavior and response using at least three appropriate computational approaches and tools

Michigan Tech was founded in 1885.

The University is accredited by the Higher Learning Commission and widely respected by fast-paced industries, including automotive development, infrastructure, manufacturing, and aerospace. Michigan Tech graduates deliver on rapid innovation and front-line research, leaning into any challenge with confidence.

The College of Engineering fosters excellence in education and research.

We set out as the Michigan Mining School in 1885 to train mining engineers to better operate copper mines. Today, more than 60 percent of Michigan Tech students are enrolled in our 17 undergraduate and 29 graduate engineering programs across nine departments. Our students and curriculum embrace the spirit of hard work and fortitude our founders once had. Our online graduate courses are the same, robust classes taken by our doctorate and masters candidates, taught directly by highly regarded faculty, with outstanding support from staff. We invite working professionals to join these courses, bring their own experience and challenges as part of the discussion. Leverage the national reputation of Michigan Tech to advance your career in tech leadership.

Meet the online certified instructors.

Students have the flexibility to review class recordings later.

Yongmei Jin

Yongmei Jin

Professor, Materials Science and Engineering

Teaching Statement

Dr. Jin teaches courses in materials processing, mechanical behavior of materials, and transmission electron microscopy.

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Miguel Levy

Miguel Levy

Professor, Physics and Materials Science and Engineering

Yu Wang

Yu Wang

Professor, Materials Science and Engineering

Teaching Statement

Dr. Wang teaches courses in materials science and engineering, advanced computational materials science, thermodynamics and kinetics, and crystallography and diffraction.

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