Independent Study (may substitute for one required course with permission)
- Subject
- MSE
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.upenn.edu
64 courses with the subject MSE, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
Independent Study (may substitute for one required course with permission)
Everything you see around you has one thing in common - it is made of a material. In this course, we will explore how most of the world’s largest problems (health, energy, clean water, infrastructure, sustainable cities, transportation etc.) have MSE at the heart of the solution. Students will be given an overview of the different classes of materials and how advances in structure, properties, processing and performance lead to new end-user applications that have changed and will continue to change the world around us. Students will learn how technologies are commercialized and the hurdles that need to be addressed if a technology will ever make it to market. Hurdles such as understanding the decision makers along a value chain, regulatory challenges and unit economics will be explored. Students will also be given the opportunity to learn about how things are made and will design their very own pint glass to be laser engraved and will make their very own ceramic beer stein. There is a final project that will be done in groups where teams will explore an industrial area and the materials science behind solving the biggest problems for that industry.
This is the first of three 0.5 CU required laboratory courses in the undergraduate MSE program. This course will focus on applying introductory materials science principles, in tandem with those from prior physics and chemistry courses, to study the properties of metals, polymers, and glasses. Students will apply many of the concepts that are taught in the concurrent course, MSE 2200. Hands-on laboratory skills that will be developed include thermal testing and characterization, optical microscopy and scanning electron microscopy (SEM), mechanical testing, effects of thermal treatment on material properties, and the basics of MATLAB applied to lab work. In addition, students will develop professional skills regarding working safely and effectively in a team- based laboratory setting, basics of statistics and error analysis, and analyzing and presenting data in written reports and presentations. ENGR 1050 recommended.
This is the second of three 0.5CU required laboratory courses in the undergraduate MSE program. This course will build on the experimental and professional skills introduced in MSE 2010 and will reinforce concurrent lecture courses in materials thermodynamics and opto- electronics of materials. Hands-on experimental skills to be developed include phase transformations in metals and characterization using electron microscopy image analysis, thin-film fabrication methods and measurement techniques, nano-materials synthesis (including quantum dot technologies) and characterization of size and optical properties, and characterization of next-generation photovoltaic materials. Students will expand on their MATLAB skills for image analysis, I-V curve plotting, and presentation of high-quality figures for technical reports and presentations. Students will also be exposed to material life-cycle analysis, device sensitivity, and sustainability and how they each apply to materials design.
The course is an introduction to the most important concepts in materials science and engineering. You will learn how the control of chemical bonding, synthesis, processing, structure and defects can be used to tailor the properties and performance of materials for applications that range from sustainable sources of energy, to construction, to consumer electronics. Case studies are also included to highlight environmental issues associated with materials degradation. This course includes lab demonstrations of key materials properties and a final project where students research an area of materials technology of their own interest.
or PHYS 1240 Principles of Physics IV: Modern Physics (without laboratory) or PHYS 1250 Principles of Physics IV: Modern Physics
Basic principles of chemical thermodynamics as applied to macro and nano-sized materials. This course will cover the fundamentals of classical thermodynamics as applied to the calculation and prediction of phase stability, chemical reactivity and synthesis of materials systems. The size-dependent properties of nano-sized systems will be explored through the incorporation of the thermodynamic properties of surfaces. The prediction of the phase stability of two and three component systems will be illustrated through the calculation and interpretation of phase diagrams for metallic, semiconductor, inorganic systems.
1 Course Unit
This is the third of three 0.5CU required laboratory courses in the undergraduate MSE program. The culmination of the lab program, this course will focus on applying advanced materials science principles taught in concurrent lecture courses to crystallographic techniques and analysis, and to measurements of polymers and soft materials. Students will employ many of the experimental and professional skills developed in past lab experiences; new hands-on laboratory skills to be covered include synthesis of ceramic super-conductor materials and effects of processing on properties, X-ray diffraction and X-ray scattering, and surface modification and contact angle measurements. Students will also be responsible for proposing an independent set of experiments to study a given material that will test their mastery of experimental equipment, procedures, and associated data analysis. In addition, students will develop professional skills surrounding preparing professional technical reports and presentations in a team setting.
Soft matter is found in diverse applications including sports (helmets & cloths); food (chocolate, egg); consumer products (e.g., lotions and shampoo); and devices (displays, electronics). Whereas solids and liquids are typically hard and crystalline or soft and fluid, respectively, soft matt can exhibit both solid and liquid like behavior. In this class, we investigat the thermodynamic and dynamic principles common to soft matter as well as soft (weak) forces, self-assembly and phase behavior. Classes of matter include colloidal particles, polymers, liquid crystalline molecules, amphiphilic molecules, biomacromolecules/membranes, and food.
To understand the atomic arrangements of crystalline matter, this class focuses on crystallography, symmetry, and diffraction techniques. The first half focuses on learning how to describe the structure of crystalline matter through the basics of crystallography and symmetry by introducing two-dimensional symmetry operations, point, and plane groups; this knowledge is then extended into three-dimensions to arrive at an understanding of space lattices and space groups. The second half is concerned with applying this information to understand structures through various diffraction and microscopy techniques.
Throughout mankind's history, materials have played a critical role in civilization and technology. The selection of materials has been based on availability and functionality. The rapid advances of materials technologies in the last 150 years have made nearly all classes and forms of materials available. However, this increased material availability comes at a cost, not only in terms of the financial cost of manufacturing advanced materials, but also in terms of the environmental impact for material extraction, processing, and synthesis. The next generation of materials scientists and engineers will thus need to both understand how to optimally select materials from an ever-expanding universe of possibilities while also accounting for the environmental and societal impacts of their material choices. This course introduces materials selection as an optimization process, considering trade-offs in design performance, financial cost, and environmental sustainability. By the end of the course, students can expect to acquire a level of engineering familiarity with a broad range of materials and their properties, while being prepared to undertake environmentally responsible material design projects in critical applications in energy, sustainability, and healthcare, among others. Prerequisite: Junior standing or approval of the instructor.
This course examines catalysis from a materials science and engineering perspective, treating catalysts as functional materials whose structure, composition, defects, and stability govern activity, selectivity, and stability. Both heterogeneous catalysis and electrocatalysis are covered, with emphasis on how different driving forces influence the structure, chemistry, and performance of solid catalytic materials. Topics include qualitative thermodynamic and kinetic descriptors of catalytic activity, structure–activity relationships, catalyst synthesis and processing, transport and environmental effects, catalyst degradation and evolution under reaction conditions. Emphasis is placed on linking materials structure and chemistry to catalytic function through concepts and contemporary case studies from energy and sustainability applications. The course combines lectures with literature-based discussions to develop critical engagement with current research.
This course explores the chemistry and synthesis of materials, focusing on how their properties change with scale and composition. Topics include metals, alloys, nanomaterials, surface chemistry, porous materials, ceramics, and non-crystalline inorganic solids, with discussions of their roles in catalysis and energy applications. Students will learn key synthesis techniques, explore the role of AI in materials discovery, and gain a foundational understanding of the chemical principles that govern material properties. The course combines lectures and journal discussions to equip students with the knowledge to engage with cutting-edge topics.
MSE/BE 5850 Materials for Bioelectronics 1 Select 2 of the following: 2
The phase of a material is dependent upon temperature, thermal history, and other variables such as pressure and composition. In this course concepts of metallurgical thermodynamics and kinetics are used to study phase transformations to produce materials with desired properties. Subjects covered include diffusion in solids, crystal interfaces (coherent, semi-coherent, incoherent interfaces), nucleation and growth, equilibrium and nonequilibrium solidification processes, solid state transformations (nucleation and growth of precipitates, GP-Zone formation, Ostwald's step rule, order-disorder transition, spinodal decomposition, martensitic transformation).
After introducing basic electrochemical concepts including cell potential and cell thermodynamics, electrochemical kinetics, mass transport and cell overpotentials, redox reactions, electrolytic versus galvanic cells, standard reduction potentials, and key reactions in electrochemical energy conversion and storage, this course will cover the broad impact of electrochemical phenomena on materials. Topics that will be discussed include: (1) materials for lithium-ion battery electrodes, (2) materials extraction from their ores to finished products using electrochemical methods, (3) materials degradation by electrochemical corrosion, (4) Three-dimensional nanostructured materials by selective electrochemical corrosion. Students will be engaged in interactive classroom activities and hands-on electrochemical experiments (this year —fall 2026 — students will learn to cycle LiMn2O4 coin cell batteries).
Total Course Units 12.5 The degree and major requirements displayed are intended as a guide for students entering in the Fall of 2026 and later. Students should consult with their academic program regarding final certifications and requirements for graduation.
and Nanostructured Materials Select 2 courses from the following: 2
The senior design course is a two-semester capstone program that gives students the opportunity to design and execute an original experimental or theoretical project in materials science, engineering, or product/device development that is solving a real world problem. Students will work closely with a scientific advisor in their lab and meet once a week in the classroom to learn from an innovative curriculum that will build real-world skills in the context of their research and design project. These skills include project management, networking, teamwork, impactful written and verbal communications, upward management, self-reflection and feedback. Students will also learn how to design research in the context of having an impact on the world. This will be through weekly vignettes of innovative materials science solutions that solve problems in industries ranging from construction to healthcare to consumer products.
Math and Natural Science
This laboratory course introduces students to a variety of experimental methods used in materials science and engineering. Hands-on training will be provided for atomic force microscopy, X-ray diffraction and scattering, mechanical testing with image capture, and dynamic light scattering. Students will use numerous software packages for data collection and analysis, as well as being introduced to LabVIEW as a method for customizing experiments. In addition, students will see demonstrations of scanning electron microscopy, transmission electron microscopy, and electron diffraction and analyze data from these methods. The format for the course will include a weekly lecture (1.5 hours), a weekly lab session (4 hours) and six assignments. Prerequisite: Permission of the Undergraduate Curriculum Chair and Instructor
Mechatronic and Robotic Systems
The application of continuum and microstructural concepts to elasticity and plasticity and the mechanisms of plastic flow and fracture in metals, polymers and ceramics. Topics covered include elasticity, viscoelasticity, plasticity, crystal defects, strengthening, crystallographic effects, twinning, creep and fatigue. Emphasis will be on mathematical and physical understanding rather than problem solving.
or MEAM 5060 Failure Analysis of Engineering Materials
or MEAM 5070
This course examines catalysis from a materials science and engineering perspective, treating catalysts as functional materials whose structure, composition, defects, and stability govern activity, selectivity, and stability. Both heterogeneous catalysis and electrocatalysis are covered, with emphasis on how different driving forces influence the structure, chemistry, and performance of solid catalytic materials. Topics include qualitative thermodynamic and kinetic descriptors of catalytic activity, structure–activity relationships, catalyst synthesis and processing, transport and environmental effects, catalyst degradation and evolution under reaction conditions. Emphasis is placed on linking materials structure and chemistry to catalytic function through concepts and contemporary case studies from energy and sustainability applications. The course combines lectures with literature-based discussions to develop critical engagement with current research.
According to Galileo, the book of Nature is written in the language of mathematics. Physics is often regarded as the poetry of mathematics. A firm grasp of mathematical techniques is essential to understand the physical nature of matter. Good familiarity with mathematics also helps a student to comprehend and develop scientific ideas. Most fundamental problems in physical sciences may be impossible to solve because of the complexity of Nature. However, a well-formulated simple mathematical problem may indeed be solvable and give a preliminary understanding of the underlying physical phenomena. It is, thus, essential for graduate students to be exposed to standard topics in mathematics and understand how mathematical tools are applied to physical sciences and engineering problems. This course focuses on applications of mathematical methods. No rigorous mathematical derivations are included. The course covers five major topics listed below. 1. Complex Analysis 2. Integral Transforms (Fourier and Laplace) 3. Linear Algebra (Transformations and Tensors) 4. Sturm-Liouville Theory of Linear Differential Equations 5. Partial Differential equations These topics find applications in understanding the Quantum mechanical, electronic, optical, mechanical properties of materials, solving electromagnetic, sound elastic wave propagations in different media, diffusion and its kinetics and Machine Learning.
Biological materials display unique properties that give rise to important biological functions. This graduate course will cover topics related to structure and function of biological materials. Students will learn basic principles in assembly and hierarchy of biological materials and biological cellular structure and composition. Lectures will cover biomineralization and inorganic materials, structure and properties of bone and cartilage, biopolymers and elastomers, solid foams and cartilage, and functional and bioinspired materials. Students will critically review assigned scientific papers in group discussion. Groups will be assigned to propose a scientific project related to biological materials. Groups will give a final presentation and submit a 3-6-page written proposal. Individual assessments will include problem sets and two midterm exams. The goal for the course is for students to apply their skills and background in materials science to deepen their understanding of the structure and function of biological materials. Lessons from this course will help students identify new research topics in biological materials science that could be relevant for their graduate studies.
Crystal structure and bonding. Symmetry: line, plane, point, and space groups. Symmetry considerations in structure-property relations. Physical optics, diffraction as Fourier transforms. Effects of size, shape, temperature and distortion on diffraction intensity. Diffraction of gas, liquid, fibers, and DNA. Diffuse scattering, order/disorder. Pair distribution function, inverse problem, small angle scattering. Radiation-matter interaction, scattering physics, atomic and electronic spectroscopy.
or ESE 5250 Nanoscale Science and Engineering
rse Materials Characterization its MSE/BE 5850 Materials for Bioelectronics
Fundamental elements of engineering thermodynamics, statistical thermodynamics, chemical thermodynamics and defect thermodynamics. Thermodynamic functions, stability, phase transitions, mixtures (gases, condensed matter, polymer solution), defects and interfaces. Phase diagrams and predominance diagrams. Applications to energy problems (engines, efficiency, power, electrochemical cells) and properties (Curie's law, rubber elasticity, specific heat, phonon/photon spectra, constitutive equations, equation of states). Prerequisite: Permission of the Undergraduate Curriculum Chair and instructor
MSE 5370 or MEAM 5370
Engineering is progressing to ever smaller scales, enabling new technologies, materials, devices, and applications. This course will provide an introduction to nano-scale tribology and the critical role it plays in the developing areas of nanoscience and nanotechnology. We will discuss how contact, adhesion, friction, lubrication, and wear at interfaces originate, using an integrated approach that combines concepts of mechanics, materials science, chemistry, and physics. We will cover a range of concepts and applications, drawing connections to both established and new approaches. We will discuss the limits of continuum mechanics and present newly developed theories and experiments tailored to describe micro- and nano-scale phenomena. We will emphasize specific applications throughout the course. Reading of scientific literature, critical peer discussion, individual and team proble assignments, and a peer-reviewed literature research project will be assigned as part of the course. Prerequisite: Prerequisite: MEAM 3540 or MEAM 5190 or MSE/MEAM 5040 or equivalent required, or consent of instructor. Experience with mathematical analysis software (e.g. Matlab, Python) is required. Not Offered Every Year Also Offered As: MEAM 5370 1 Course Unit University of Pennsylvania Catalog 2275
The phase in a material is dependent upon temperature, thermal history, and other variables such as pressure and composition. In this course, concepts of metallurgical thermodynamics and kinetics are used to study phase transformations to efficiently process materials with a desired structure (phase), which enables remarkable properties and subsequently, superior performance. Subjects covered include diffusion in solids, crystal interfaces (coherent, semi-coherent, incoherent interfaces), nucleation and growth, equilibrium and nonequilibrium solidification processes, solid-state transformations (nucleation and growth of precipitates, GP-Zone formation, Ostwald's step rule, order- disorder transition, spinodal decomposition, martensitic transformation). Recommended prerequisite: For GS: Permission from the instructor (in Spring 2026, approximately 5 GS will be admitted)
Select 3 CU's non-core courses
rofit
This course explores the chemistry and synthesis of materials, focusing on how their properties change with scale and composition. Topics include metals, alloys, nanomaterials, surface chemistry, porous materials, ceramics, and non-crystalline inorganic solids, with discussions of their roles in catalysis and energy applications. Students will learn key synthesis techniques, explore the role of AI in materials discovery, and gain a foundational understanding of the chemical principles that govern material properties. The course combines lectures and journal discussions to equip students with the knowledge to engage with cutting-edge topics.
Clean Energy Supply Chains
or MEAM 5190 Elasticity and Micromechanics of Materials
After introducing basic electrochemical concepts including cell potential and cell thermodynamics, electrochemical kinetics, mass transport and cell overpotentials, redox reactions, electrolytic versus galvanic cells, standard reduction potentials, and key reactions in electrochemical energy conversion and storage, this course will cover the broad impact of electrochemical phenomena on materials. Topics that will be discussed include: (1) materials for lithium-ion battery electrodes, (2) materials extraction from their ores to finished products using electrochemical methods, (3) materials degradation by electrochemical corrosion, (4) Three-dimensional nanostructured materials by selective electrochemical corrosion. Students will be engaged in interactive classroom activities and hands-on electrochemical experiments (this year —fall 2026 — students will learn to cycle LiMn2O4 coin cell batteries). Prerequisites: Open enrollment for SEAS and SAS PhD students For masters students, one of the following courses is required as a prerequisite or corequisite: • MSE 5360 Electronic Properties of Materials (or SEAS/SAS equivalent) • MSE 5300 Thermodynamics and Phase Equilibrium (or SEAS/SAS equivalent)
This course covers two major aspects of atomic level computer modeling in materials. 1. Methods: Molecular statics, Molecular dynamics, Monte Carlo, Kinetic Monte Carlo as well as methods of analysis of the results such as radial distribution function, thermodynamics deduced from the molecular dynamics, fluctuations, correlations and autocorrelations. 2. Semi-empirical descriptions of atomic interactions: pair potentials, embedded atom method, covalent bonding, ionic bonding. Basics of the density functional theory. Mechanics, condensed matter physics, thermodynamics and statistical mechanics needed in interpretations are briefly explained. No prior coding experience is required. Students will be taught the basics of python in the first week of class.
and Nanostructured Materials
Quantum Information Science and Engineering (QISE) exploits fundamental principles of quantum mechanics for generating, processing, transmitting, and sensing quantum information to fundamentally transform our current technologies ranging from computing, communication, sensing, imaging and drug discovery. Even current technologies such as integrated circuits and devices used to power our information technology infrastructure (lasers, LEDs, modulators, detectors) also requires quantum mechanics to understand their behavior. Materials are the core of all technologies and their properties are determined by quantum principles. To understand the impact of quantum phenomena determining the novel properties of cutting-edge materials, we will combine traditional lecture style to learn the fundamental tools and techniques of quantum mechanics and then discuss some landmark scientific papers where quantum phenomena play a central role in materials, devices and technologies. In the last few weeks of the course, we will discuss the latest progress made in the area of quantum materials with focus towards applications in quantum computers, communications, sensors and medical technologies. We will also discuss the role of artificial intelligence and machine learning to discover new quantum materials with precise responses and its impact on future technologies. These discussions will be based on assigned reading of the relevant literature followed by open but supervised discussions to understand their relevance and impact. In parallel, we will make teams of 2 students to research (under supervision) literature in a specific area of quantum materials to develop a plan for a detailed term paper that will be evaluated based on the content, presentation and a written paper.
Statistical Mechanics is a unique branch of physics that permeates our understanding of matter at all length scales, from nanometers to stellar dimensions, and ranging in temperatures from pico-Kelvin (or lower) to billions of degrees Kelvin. This course will provide an overview of select topics in equilibrium and non-equilibrium statistical mechanics. The course will introduce the basic postulates of classical and quantum equilibrium statistical mechanics, explain the methodology of calculating observable properties, and discuss several applications in diverse fields. The second part of the course will introduce the methodology of non- equilibrium processes and discussing important theorems and results in the linear response regime. Finally, a brief discussion of systems far from equilibrium will be presented. Select applications from condensed matter physics, chemistry, materials science, biology, astrophysics, economics and meteorology will be used to illustrate the fundamental principles.
Beginning with a review of linear algebra, probability theory, Bayesian statistics, Statistical Mechanics notions of entropy, information and optimization tools, some of the major advances in deep learning over the past twenty years will be discussed in detail. These include the multilayer perceptron (MLP), convolutional neural network (CNN), recurrent neural networks (RNN), autoencoders, graph networks, Boltzmann machine, variational autoencoders and deep generative adversarial models. In conjunction with the weekly lectures, a set of labs will be offered (roughly 2 per month) that will demonstrate the workings of important models using data derived from Materials Science research papers and MSE databases. The labs will also complement the contents of the homework sets for each fortnight. The lab sessions will implement the following models: linear regression, logistic regression, random forest model, single layer and multi-layer perceptron, CNN, RNN, graph neural networks and general adversarial networks. A variety of data sets representing material properties for varied applications will be used in the labs. The homework sets will use additional data sets. For students with no prior coding skills, a preliminary Python Lab 0 tutorial will be held in the first week of classes. Students may obtain assistance from the TAs for coding logic and help with homework during office hours. A written project is due in the final week of classes. Students will submit a 1-2 page synopsis of a published paper from a peer-reviewed journal that uses ML and DL methods. This report will be graded on the student’s ability to summarize the paper’s ideas, results and discussions for future work.
CBE 5100
or BE 5850 Materials for Bioelectronics
tbd
Theory and application of transmission electron microscopy methods to problems in materials science and engineering, condensed matter physics, soft matter, polymeric materials , inorganic chemistry and chemical engineering. The principles of microscope operation, electron scattering, image formation and spectroscopy will be described, with an emphasis on both theory and experiment. With laboratory. Not Offered Every Year 1 Course Unit
This course discusses the optical properties of modern materials engineered for specific functionality and covers exciting new developments being made in this rapidly evolving field. Emphasis is placed on how modern nanotechnology reshapes the light-matter interaction and delivers novel optical properties that are not available in nature.
or MEAM 6500 Mechanics of Soft and Biomaterials
Responsible Conduct of Research Requirement
Engineering (Energy, Water, and Materials for the AI Economy) Select 5.5 course units of electives 5.5 MBA Core Requirements 9.5 Total Course Units 19 In order to enroll in non-Wharton courses, Wharton MBA policy is to email mbaprogram@wharton.upenn.edu. In addition, to obtain permission to count a non-Wharton course toward the BEES major, please contact Sara Jane McCaffrey at mcsa@wharton.upenn.edu. Such petitions should be submitted prior to the start of the semester in which the course will be taken, or at the latest, within the first two weeks of the semester. Pass/Fail courses may not be counted toward the major.”
Fall or Spring1 Course Unit
PHYS 5000-9999 CHEM 5000-9999 ESE 5000-9999 MEAM 5000-9999 BE 5000-9999 CBE 5000-9999 CIS 5000-9999 Wharton courses 5000-9999 Select 2 CU's elective courses
PhD DissertationFall or Spring3 Course Units
For students working on an advanced research program leading to the completion of master's thesis requirements.
1 CU non-core course 1
Source: University of Pennsylvania's catalog, linked per course · table learning_unit · CourseShelf publish 59