Materials Science & Engineering + Data Science, BS
for the degree of Bachelor of Science Major in Materials Science & Engineering + Data Science
Materials science and engineering is the basis for all engineering. Improvements in the quality of life require knowledge of the processing and properties of current materials and the design, development and application of new materials. At the same time, data science is revolutionizing all areas of science and engineering. The Materials Science and Engineering (MatSE+DS) curriculum provides an understanding of the underlying principles of synthesis and processing of materials and of the interrelationships between structure, properties, and processing, while also addressing the unique data science challenges in materials science and engineering. Students learn how to create advanced materials and systems required, e.g., for flexible electronic displays and photonics that will change communications technologies, for site specific drug delivery, for self-healing materials, for enabling the transition to a hydrogen-based economy, and for more efficient photovoltaics and nuclear systems for energy production. The curriculum uses concepts from both basic physics and chemistry combined with statistics and data science and provides a detailed knowledge of what makes the materials we use every day behave as they do.
Students in the first two years take courses in general areas of science and engineering and data science as well as courses introducing the concepts in MatSE. In the third year, students study the common, central issues related to MatSE while learning more advanced data science methods. In the senior year, students focus on an area of MatSE of their greatest interest, providing them with the detailed knowledge to be immediately useful to corporations, become entrepreneurs, or to provide the underpinning knowledge for graduate study, and complete a design project involving data science.
for the degree of Bachelor of Science Major in Materials Science & Engineering + Data Science
Graduation Requirements
Minimum hours required for graduation: 128 hours.
Minimum Overall GPA: 2.0
University Requirements
Minimum of 40 hours of upper-division coursework, generally at the 300- or 400-level. These hours can be drawn from all elements of the degree. Students should consult their academic advisor for additional guidance in fulfilling this requirement.
The university and residency requirements can be found in the Student Code (§ 3-801) and in the Academic Catalog.
General Education Requirements
Follows the campus General Education (Gen Ed) requirements. Some Gen Ed requirements may be met by courses required and/or electives in the program.
| Code | Title | Hours |
|---|---|---|
| Composition I | 4-6 | |
| Advanced Composition | 3 | |
| Humanities & the Arts (6 hours) | 6 | |
| Natural Sciences & Technology (6 hours) | 6 | |
| Social & Behavioral Sciences (6 hours) | 6 | |
| Cultural Studies: Non-Western Cultures (1 course) | 3 | |
| Cultural Studies: US Minority Cultures (1 course) | 3 | |
| Cultural Studies: Western/Comparative Cultures (1 course) | 3 | |
| Quantitative Reasoning (2 courses, at least one course must be Quantitative Reasoning I) | 6-10 | |
| Language Requirement (Completion of the third semester or equivalent of a language other than English is required) | 0-15 | |
Materials Science and Engineering plus Data Science Graduation Requirements
Orientation and Professional Development
| Code | Title | Hours |
|---|---|---|
| ENG 100 | Grainger Engineering Orientation Seminar (External transfer students take ENG 300.) | 1 |
| Recommended, optional 1 credit course, MSE 183 Introductory MatSE Laboratory. Credit hour counts toward free electives. | ||
| Total Hours | 1 | |
Foundational Mathematics and Science
| Code | Title | Hours |
|---|---|---|
| CHEM 102 | General Chemistry I | 3 |
| Recommended, optional 1 credit course, CHEM 103 General Chemistry Lab I. Credit hour counts toward free electives. | ||
| CHEM 104 | General Chemistry II | 3 |
| Recommended, optional 1 credit course, CHEM 105 General Chemistry Lab II. Credit hour counts toward free electives. | ||
| MATH 221 | Calculus I (MATH 220 may be substituted. MATH 220 is appropriate for students with no background in calculus. 4 of 5 credit hours count towards degree.) | 4 |
| MATH 231 | Calculus II | 3 |
| MATH 241 | Calculus III | 4 |
| MATH 257 | Linear Algebra with Computational Applications | 3 |
| MATH 285 | Intro Differential Equations | 3 |
| PHYS 211 | University Physics: Mechanics | 4 |
| PHYS 212 | University Physics: Elec & Mag | 4 |
| PHYS 214 | Univ Physics: Quantum Physics | 2 |
| Total Hours | 33 | |
Materials Science and Engineering with Data Science Technical Core
| Code | Title | Hours |
|---|---|---|
| CS 107 | Data Science Discovery | 4 |
| MSE 182 | Introduction to MatSE | 2 |
| ECE 205 | Electrical and Electronic Circuits | 3 |
| MSE 201 | Phases and Phase Relations | 3 |
| MSE 206 | Mechanics for MatSE | 4 |
| STAT 207 | Data Science Exploration | 4 |
| CS 277 | Algorithms and Data Structures for Data Science | 4 |
| CS 307 | Modeling and Learning in Data Science | 4 |
| MSE 307 | Materials Laboratory I | 3 |
| MSE 308 | Materials Laboratory II | 3 |
| MSE 304 | Electronic Properties of Matls | 3 |
| or MSE 405 | Microstructure Determination | |
| MSE 401 | Thermodynamics of Materials | 3 |
| MSE 402 | Kinetic Processes in Materials | 3 |
| MSE 406 | Thermal-Mech Behavior of Matls | 3 |
| IS 467 | Ethics and Policy for Data Science | 3 |
| IS 477 | Data Management, Curation & Reproducibility | 3 |
| MSE 494 | Materials Design Thinking | 1 |
| MSE 495 | Materials Design | 2 |
| Total Hours | 55 | |
Technical Electives
| Code | Title | Hours |
|---|---|---|
| MSE 404 | Laboratory Studies in Materials Science and Engineering (Each section of MSE 404 is 1.5 hours. Students take 4 unique sections of MSE 404 for 6 hours.) | 6 |
| Topical lecture courses. See Topical Lecture list below. | 6 | |
| Total Hours | 12 | |
Topical Lectures
| Code | Title | Hours |
|---|---|---|
| Introductory | ||
| MSE 420 | Ceramic Materials & Properties | 3 |
| MSE 441 | Metals Processing | 3 |
| MSE 450 | Polymer Science & Engineering | 3 or 4 |
| MSE 470 | Design and Use of Biomaterials | 3 |
| ECE 340 | Semiconductor Electronics | 3 |
| All Areas | ||
| MSE 403 | Synthesis of Materials | 3 |
| MSE 421 | Ceramic Processing | 3 or 4 |
| MSE 422 | Electrical Ceramics | 3 |
| MSE 440 | Mechanical Behavior of Metals | 3 |
| MSE 443 | Design of Engineering Alloys | 3 |
| MSE 453 | Plastics Engineering | 3 |
| MSE 455 | Macromolecular Solids | 3 |
| MSE 456 | Mechanics of Composites | 3 |
| MSE 457 | Polymer Chemistry | 3 or 4 |
| MSE 458 | Polymer Physics | 3 or 4 |
| MSE 460 | Electronic Materials I | 3 |
| MSE 461 | Electronic Materials II | 3 |
| MSE 464 | Magnetic Materials and their Applications | 3 or 4 |
| MSE 466 | Electrochemical Energy Conversion | 3 |
| MSE 473 | Biomolecular Materials Science | 3 |
| MSE 474 | Biomaterials and Nanomedicine | 3 |
| MSE 480 | Surfaces and Colloids | 3 or 4 |
| MSE 481 | Electron Microscopy | 3 or 4 |
| MSE 485 | Atomic Scale Simulations | 3 or 4 |
| MSE 487 | Materials for Nanotechnology | 3 or 4 |
| MSE 488 | Optical Materials | 3 or 4 |
| MSE 489 | Matl Select for Sustainability | 3 or 4 |
| MSE 498 | Special Topics (Modern Methods in Materials Characterization) | 1 to 4 |
| ABE 446 | Biological Nanoengineering | 3 or 4 |
| ABE 482 | Package Engineering | 3 |
| ABE 483 | Engineering Properties of Food Materials | 3 |
| BIOE 476 | Tissue Engineering | 3 |
| BIOE 479 | Cancer Nanotechnology | 3 |
| CEE 401 | Concrete Materials | 4 |
| CEE 460 | Steel Structures I | 3 |
| CHBE 458 | Synthetic Nanomaterials | 3 |
| CHBE 472 | Techniques in Biomolecular Eng | 3 or 4 |
| CHBE 473 | Biomolecular Engineering | 3 or 4 |
| CHBE 475 | Tissue Engineering | 3 |
| ECE 380 | Biomedical Imaging | 3 |
| ECE 441 | Physcs & Modeling Semicond Dev | 3 |
| ECE 443 | LEDs and Solar Cells | 4 |
| ECE 444 | IC Device Theory & Fabrication | 4 |
| ECE 472 | Biomedical Ultrasound Imaging | 3 |
| ECE 481 | Nanotechnology | 4 |
| ECE 487 | Intro Quantum Electr for EEs | 3 |
| ECE 488 | Compound Semicond & Devices | 3 |
| ECE 495 | Photonic Device Laboratory | 3 |
| IE 431 | Design for Six Sigma | 3 |
| ME 432 | Fundamentals of Photovoltaics | 3 or 4 |
| ME 431 | Mechanical Component Failure | 3 or 4 |
| ME 472 | Introduction to Tribology | 3 or 4 |
| ME 482 | Musculoskel Tissue Mechanics | 3 or 4 |
| ME 483 | Mechanobiology | 4 |
| ME 487 | MEMS-NEMS Theory & Fabrication | 4 |
| NPRE 470 | Fuel Cells & Hydrogen Sources | 3 |
| SE 412 | Nondestructive Evaluation | 3 or 4 |
| TAM 451 | Intermediate Solid Mechanics | 4 |
| TAM 456 | Experimental Stress Analysis | 3 |
| Science - Can only count one science course for Topical Lecture | ||
| BIOC 446 | Physical Biochemistry | 3 |
| BIOP 401 | Introduction to Biophysics | 3 |
| CHEM 436 | Fundamental Organic Chem II | 3 |
| CHEM 483 | Solid State Structural Anlys | 4 |
| PHYS 485 | Atomic Phys & Quantum Theory | 3 |
| PHYS 486 | Quantum Physics I | 4 |
| PHYS 487 | Quantum Physics II | 4 |
Free Electives
| Code | Title | Hours |
|---|---|---|
| Additional course work, subject to the Grainger College of Engineering restrictions to Free Electives, so that there are at least 128 credit hours earned toward the degree. | 11 | |
| Total Hours of Curriculum to Graduate | 128 | |
for the degree of Bachelor of Science Major in Materials Science & Engineering + Data Science
This sample sequence is intended to be used only as a guide for degree completion. All students should work individually with their academic advisors to decide the actual course selection and sequence that works best for them based on their academic preparation and goals. Enrichment programming such as study abroad, minors, internships, and so on may impact the structure of this four-year plan. Course availability is not guaranteed during the semester indicated in the sample sequence.
Students must fulfill their Language Other Than English requirement by successfully completing a third level of a language other than English. For more information, see the corresponding section on the Degree and General Education Requirements page.
| First Year | |||
|---|---|---|---|
| First Semester | Hours | Second Semester | Hours |
| MSE 182 | 2 | MSE 183 | 1 |
| MATH 221 | 4 | MATH 231 | 3 |
| CHEM 102 | 3 | CHEM 104 | 3 |
| CHEM 103 | 1 | CHEM 105 | 1 |
| ENG 100 | 1 | PHYS 211 | 4 |
| Composition I or CS 107 | 4 | CS 107 (or Composition I) | 4 |
| 15 | 16 | ||
| Second Year | |||
| First Semester | Hours | Second Semester | Hours |
| MSE 201 | 3 | MSE 206 | 4 |
| MATH 241 | 4 | MATH 285 | 3 |
| MATH 257 | 3 | ECE 205 | 3 |
| PHYS 212 | 4 | PHYS 214 | 2 |
| General Education course (choose a Humanities or Social/Behavioral Science course with Cultural Studies designation) | 3 | STAT 207 | 4 |
| 17 | 16 | ||
| Third Year | |||
| First Semester | Hours | Second Semester | Hours |
| MSE 307 | 3 | MSE 308 | 3 |
| MSE 401 | 3 | MSE 304 or 405 | 3 |
| MSE 406 | 3 | MSE 402 | 3 |
| CS 277 | 4 | CS 307 | 4 |
| General Education course (choose a Humanities or Social/Behavioral Science course with Cultural Studies designation) | 3 | Free Elective | 2 |
| 16 | 15 | ||
| Fourth Year | |||
| First Semester | Hours | Second Semester | Hours |
| MSE 404 | 3 | MSE 404 | 3 |
| IS 467 | 3 | IS 477 | 3 |
| MSE 494 | 1 | MSE 495 | 2 |
| Topical Lecture | 3 | Topical Lecture | 3 |
| General Education course (choose a Humanities or Social/Behavioral Science course with Cultural Studies designation) | 3 | General Education course (choose a Humanities or Social/Behavioral Science course) | 3 |
| Language Other Than English (3rd level) course | 4 | Free elective | 2 |
| 17 | 16 | ||
| Total Hours 128 | |||
for the degree of Bachelor of Science Major in Materials Science & Engineering + Data Science
The program educational objectives of the MatSE Department and its faculty at the undergraduate level are:
- Our graduates will attain the foundational knowledge to be successful in their chosen career.
- Our graduates will be skilled at teamwork, communication and individual professionalism, including ethics and environmental awareness.
- Our graduates will provide valuable service to their chosen profession and to society.
- Our graduates will have the ability to achieve their personal goals and advance in their chosen profession through life-long learning.
The curriculum is designed to guarantee a certain breadth of knowledge in materials science and engineering through a set of core courses, ensure depth and focus in specialties with materials science, and provide a breadth of knowledge in data science. In accordance with the ABET educational criteria and the Data Science learning objectives, the program has been developed so that graduates will have:
- An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, mathematics, and computational analysis of data.
- An ability to apply engineering design with data science skills to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors.
- An ability to communicate effectively with a range of audiences, including accurate and informative visualizations of data.
- An ability to recognize ethical and professional responsibilities in engineering situations and data science and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts.
- An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives.
- An ability to develop and conduct appropriate experimentation, analyze and interpret data, build and evaluate data-based models and use engineering judgment to draw conclusions.
- An ability to acquire and apply new knowledge as needed, using appropriate learning strategies.
- An ability to describe, curate, and manage data.
for the degree of Bachelor of Science Major in Materials Science & Engineering + Data Science
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