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Aug 21, 2024
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2024-2025 Catalog
Materials Science and Engineering, Computational Emphasis, B.S.
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In addition to adhering to the General Education , students must meet the following requirements to receive the B.S. in Materials Science and Engineering with an emphasis in Computational at UC Merced.
All students in the School of Engineering, regardless of major, are required to complete all requirements for all majors with a C- or better unless the course is offered as Pass/No Pass only, which requires a P grade.
Students in the School of Engineering must repeat a required course after receiving a grade of D+, D, D-, F, Unsatisfactory, or Not Passed, and may do so no more than twice beyond the initial enrollment in the class. Students may repeat a course only one time (for a total of two attempts to earn a C- or better). If students do not complete these requirements, they may take these courses at another institution or petition the school who hosts the course for a third attempt. The third attempt is not guaranteed at UC Merced.
Materials Science and Engineering, B.S. Four-Year Course Plan
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Requirements for the Materials Science and Engineering Major
All School of Engineering students are required to complete the following lower-division major preparation courses.
Required Major Preparation [48 Units]
Mathematics Requirement [20 units]
Complete the following five courses:
Physics Requirement [10 units]
Complete the following four courses:
Computing Requirement [4 units]
Choose one of the following options:
Biological or Environmental Systems Science Requirement [4 units]
Choose one of the following courses:
Additional Degree Requirements [10 Units]
Complete the following courses:
Engineering Fundamentals Requirement [18 Units]
Complete the following courses:
Materials Science and Engineering Core [26 Units]
The MSE core consists of courses designed to give all students a common foundation of core knowledge and skills specific to the discipline:
Lower Division Core [5 units]
Complete the following courses:
Upper Division Core [21 units]
Complete the following courses:
Computational Emphasis
Computational tools such as machine learning, materials simulation, and multi-scale modeling are revolutionizing nearly all aspects of our modern world. These tools enable materials properties prediction and discovery; rapid synthesis and characterization of new materials for emerging applications; and control of chemical and materials processing for improved quality control for semiconductors, beverages and food, and other manufacturing applications.
Computational Emphasis Core Requirement [11-12 units]
Complete the following courses:
Computational Emphasis Technical Elective Requirement [1-4 units]
If needed, complete one of the MSE major technical elective courses, to meet the 12-unit MSE major technical elective requirement. The course should be one that is not used to complete the computational core requirements, above. The computational core requirements complete 10-11 (depending on classes taken) of the 12 technical electives required for the MSE major.
Computational Emphasis Program Learning Outcomes
Upon completion, graduates will be able to:
- demonstrate fundamental understanding of computational tools used in understanding and predicting materials properties;
- demonstrate fundamental understanding of computational tools used for control of materials processing;
- demonstrate the basic hands-on ability to use computational tools for materials property predictions and processing;
- demonstrate the ability to apply basic knowledge from different fields in the context of materials computation;
- view materials computation from inter- and multi-disciplinary perspectives.
Additional Degree Recommendations [1-8 Units]
Transfer Students
To be admitted to the Materials Science and Engineering major transfer students must meet the following requirements:
Applicants will, at the time of admissions have completed at minimum each of the following courses (or their equivalent) with a “C-” or better:
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