Material Science and Engineering MS Program
Program Mission:
The mission of the Master’s Program in Materials Science and Engineering is to prepare graduates to become highly skilled researchers, innovators, and problem-solvers who can apply advanced materials knowledge, preparation methods, state-of-the-art characterization techniques, and advanced engineering and computational approaches to tackle grand and complex challenges in research areas such as renewable energy, optoelectronics, nanotechnology, high-resolution imaging, critical minerals, biomaterials, semiconductors, and quantum technology to contribute to a sustainable and affluent society.
Program Goals:
• Education: Provide a rigorous graduate education that ensures students develop advanced knowledge and practical application of materials synthesis and processing, characterization, and computational methods.
• Research: Equip students with the skills to become innovative researchers and problem-solvers, capable of applying their knowledge to tackle complex research challenges in renewable energy, nanotechnology, biomaterials, and other strategic research areas.
• Community & Impact: Produce highly skilled graduates whose technical expertise and contributions to industry and research will help solve grand challenges and contribute to a sustainable and prosperous society.
Program Learning Outcomes (PLOs):
Knowledge and Understanding
• K1: Evaluate the fundamental and advanced principles governing structure–property relationships in materials, including crystallography, defects, phase equilibria, and microstructural evolution.
• K2: Analyze the thermodynamic, kinetic, electronic, and quantum-mechanical foundations that determine materials behavior across different classes of materials (metals, ceramics, polymers, semiconductors, nanomaterials and biomaterials).
• K3: Assess scientific and technological challenges associated with emerging applications in renewable energy, high-resolution imaging, energy security, nanotechnology, critical minerals, biomaterials, semiconductors, interfacial engineering, and quantum materials, including their broader societal and economic impacts.
Skills
• S1: Design, conduct, and critically evaluate experiments for materials synthesis, fabrication, processing, characterization, and performance testing using advanced laboratory techniques and instrumentation.
• S2: Apply computational, data-driven, and multiscale modeling tools to simulate, predict, and interpret material properties and behavior, integrating computational insights with experimental findings.
• S3: Communicate scientific arguments, technical analyses, and research outcomes effectively in oral presentations, written reports, and graphical representations for academic, industrial, and interdisciplinary audiences.
Values, Autonomy, and Responsibility
• V1: Demonstrate professional integrity and autonomy by selecting appropriate experimental, analytical, and computational methods, while clearly justifying their limitations and assumptions in a materials research project.
• V2: Evaluate the broader environmental, economic, and ethical implications of materials development and deployment, including issues related to sustainability, responsible resource use, and long-term societal impact.
• V3: Demonstrate effective collaboration and leadership within interdisciplinary teams, upholding high standards of research ethics, data stewardship, and professional conduct, while demonstrating commitment to continuous learning and development in the field of materials science and engineering.
Course Requirements
Students must complete the following requirements:
- Core courses (12 credits)
- Elective courses (12 credits)
- Research Courses (12 credits)
- Graduate Seminar (non-credit)
- Winter Enrichment Program (non-credit)
Core and Elective Courses must be technical courses and cannot be substituted with Research, Internship, or Broadening Courses to fulfill degree requirements.
Core Courses (12 credits)
Core Courses provide students with the background needed to establish a solid foundation in the program area. Students must complete 12 credits (4 Core Courses) and be aware that Core Courses may be offered only once per academic year. Students must complete 9 credits (3 Core Courses) from the list below:
| MSE 221 | Crystallography and Diffraction | 3 |
| MSE 225 | Electronic Properties of Materials | 3 |
| MSE 226 | Thermodynamics of Materials | 3 |
| MSE 227 | Applied Quantum Mechanics | 3 |
| MSE 228 | Materials Characterization | 3 |
| AP 220 | Statistical Physics | 3 |
| AP 228 | Advanced Quantum Mechanics | 3 |
| AP 230 | Condensed Matter Physics | 3 |
Students must complete 3 credits (1 Core Course) from the list below:
| MSE 200 | Mathematics for Material Science and Engineering | 3 |
| AMCS 202 | Applied Mathematics II | 3 |
| AMCS 206 | Applied Numerical Methods | 3 |
| AMCS 214 | Introduction to Analysis | 3 |
| AMCS 215 | Mathematical Foundations of Machine Learning | 3 |
| AMCS 231 | Applied Partial Differential Equations I | 3 |
| AMCS 232 | Weak Solutions of Partial Differential Equations | 3 |
| AMCS 241 | Stochastic Processes | 3 |
| AMCS 251 | Numerical Linear Algebra | 3 |
| AMCS 252 | Numerical Analysis of Differential Equations | 3 |
| AMCS 253 | Iterative Methods of Linear and Nonlinear Algebra | 3 |
| AMCS 255 | Advanced Computational Physics | 3 |
| AMCS 301 | Random PDEs - Modern Numerical Methods | 3 |
| AMCS 308 | Stochastic Numerics with Application in Simulation and Data Science | 3 |
| AMCS 331 | Applied Partial Differential Equations II | 3 |
| AMCS 332 | Introduction to Mathematical Modelling | 3 |
| AMCS 335 | Multiscale Modelling and Simulation for PDEs | 3 |
| AMCS 336 | Numerical Methods for Stochastic Differential Equations | 3 |
| AMCS 338 | Functional Analysis | 3 |
| STAT 210 | Applied Statistics and Data Analysis | 3 |
Elective Courses (12 credits)
Elective Courses allow students to tailor their educational experience to meet individual research and educational objectives. Students must complete 12 credits (4 Elective Courses) from the list below. With the consent of the Academic Advisor, 6 credits (2 Elective Courses) can be replaced with courses from the AP, AMCS, BioE, CE, Chem, CS, ECE, and ME programs.
Graduate Seminars (non-credit)
Students must register for 2 semesters MSE Graduate Seminar Courses (MSE 398) and must receive a Satisfactory (S) grade in all of them. Students must attend a minimum of 8 Graduate Seminars per semester to receive a Satisfactory (S) grade. The seminars can be chosen from any Graduate Seminar series offered by the PSE division. Details will be clarified each semester by the seminar committee chair.
Winter Enrichment Program (non-credit)
All students must complete the Winter Enrichment Program (
WE 100) for credit at least once during their studies at KAUST. Students who have previously completed WEP will be exempt from this requirement in their future studies.
MS Thesis
Students pursuing the Thesis option must complete 12 credits of Thesis Research (MSE 297).
For more details on the Thesis Application, Thesis Committee Formation, Thesis Defense Results, Thesis Document and Thesis Archiving please check the policy page
MS Non-Thesis
Students pursuing the Non-Thesis option must complete a total of 12 capstone credits, including 6 credits of Directed Research (
MSE 299). The remaining 6 credits must be obtained from regular 200 or 300-level courses at KAUST. Replacing the courses with research or summer internship credits is not permitted.