This concentration area is appropriate for those planning a career in computational materials science and engineering and/or in materials data science. In computational materials science you will learn about the modeling and simulation of material structure and dynamics relevant to real materials problems, often occurring across multiple time and length scales. Materials data science will provide you with knowledge of computational tools that utilize large amounts of information data for use in decisions related to materials selection and design.
Elective Options for Materials Computation and Data Science
Recommended math elective
Choose one course from the list on B.S. Degree Requirements. If you don't have a preference, selecting INDE 315 (Probability and Statistics for Engineers) is encouraged (NOTE: INDE 315 can count EITHER towards the Math Elective OR as one of the Engineering Fundamentals Electives, but it cannot count in both categories).
Recommended natural science electives
Choose two.
| Course and Credits | Title | Notes |
|---|---|---|
|
CHEM 162/165 (5) |
General Chemistry - 3rd quarter | Prereq 1.7 in CHEM 152; this course is prereq for CHEM 237 |
| PHYS 224 (3) | Thermal Physics | Prereq MATH 126/136 and PHYS 123 |
| PHYS 225 (4) | Introduction to Quantum Mechanics | Prereq. 2.0 in PHYS 227; or a 2.0 in PHYS 123 and MATH 136; or a 2.0 in PHYS 123, MATH 207 (or MATH 307), and MATH 208 (or MATH 308). |
| PHYS 227 (4) | Elementary Mathematical Physics | Prereq 2.0 in PHYS 121, 122, 123, and MATH 126 |
|
PHYS 228 (4) |
Elementary Mathematical Physics | Prereq 2.0 in PHYS 227 |
Recommended engineering fundamentals electives
Choose 8 credits.
| Course and Credits | Title | Notes |
|---|---|---|
| CSE 143 (4) | Computer Programming II | Prereq is CSE 142 |
| CSE 160 (4) | Data Programming | Introductory Data Programming course for students who took AMATH 301 |
| CSE 164 (4) | Intermediate Data Programming | Prereq is CSE 142, CSE 143, or CSE 160 |
| CSE 180 (4) | Introduction to Data Science | |
| IND E 250 (4) | Fundamentals of Engineering Economy |
Recommended technical elective requirements
A minimum of 9 credits of MSE classes.
| Course and Credits | Title | Notes |
|---|---|---|
| MSE 477 (3) | Data Science and Materials Informatics | |
| MSE 478 (3) | Materials and Device Modeling |
Prereq is MSE 477 |
| MSE 479 (3) | Big Data for Materials Science | Prereq is MSE 477 |
| AMATH 401 (3) | Vector Calculus and Complex Variables | Prereq is Math 126/136 |
| AMATH 403 (3) | Methods for Partial Differential Equations | Prereqs AMATH 401; either AMATH 351, MATH 136, or MATH 207 (or MATH 307) |
| CSE 373 (4) | Data Structures and Algorithms | Prereq is CSE 143 |
| CSE 412 (4) | Introduction to Data Visualization | Prereq is CSE 143 or CSE 163 |
| CSE 414 (4) | Database Systems | Prereq is CSE 143 |
| BIOEN 504 (4) | Introduction to Technology Commercialization | |
| ENGR 321 | Engineering Internship Education | Earn 1 credit for an internship 1-20 hours/week, and 2 credits for an internship 20 hours/week+. Can count up to 4 credits of internship towards your degree |