This list contains previously approved coursework to meet requirements of the BME programs of work. This list is not exhaustive. If you are interested in courses not on this list, send a request to the Graduate Advisor (edward.castillo@utexas.edu) and include the course number, name, and the requirement for which you want to use the course. Students must gain prior approval before enrolling in courses not on this list, with a few exceptions:


Biological and Clinical Sciences

These courses will satisfy the biological and clinical sciences requirement and technical elective requirements. 

Dept.Num.Course Name
BCH387DPhysical Methods in Biochemistry and Molecular Biology
BCH394Structure and Function of Proteins and Nucleic Acids
BCH395GStructure and Function of Proteins and Membranes
BIO336Tumor Biology (upper-division undergraduate level)
BIO383Current Topics in Cell Biology
BIO383Topics in Membrane Biology
BIO381KCellular and Molecular Basis of Neuro Development
BIO382KBiology for Big Data Scientists
BIO382KCell Membrane Trafficking
BIO383KMembrane Trafficking in Eukaryotic Cells
BIO383KTopics in Membrane Biology
BIO384KPhylogenetic Perspectives
BIO394MTumor Biology
BIO391PAdvanced Virology
BIO394MAdvanced Immunology
BIO394MImmunology
BIO395GBiochemistry
BIO395HCell Biology
BIO395JMolecular Biology
BIO395JGenes/Genome/Gene Expression
BME382JBiological Membranes and Cell Interfaces: Principles and Applications
CH391Macromolecular Chemistry
CH391Advanced Chemical Biology
CHE384Quantitative Analysis of Cell and Molecular Biology
CHM394Structure and Function of Proteins and Nucleic Acids
CH395Cell Biology
CH395GBiochemistry
CSE397Pathology and Epidemiology of Cardiovascular Disease
GS071113Microbial Physiology
KIN395Advanced Exercise Physiology
KIN395Cardiovascular Responses and Adaptations to Exercise
KIN395Human Cardiovascular/Autonomic Physiology
M E391Cardiovascular Pathology
M E397Pathology and Epidemiology of Cardiovascular Disease
N396CAdvanced Pathophysiology
NEU380GVisual Neuroscience
NEU381NBasic Processes of Nerve Cells
NEU382Cellular Neuroscience
NEU383CFunctional Neuroanatomy
NEU383DNeuropharmacology
NEU385LAddiction Neuroscience
NEU385LIon Channels
NEU385LNeurobiology of Disease
NEU382TPrinciples of Neuroscience
NEU394PIntroduction to Sensory-Motor Systems
NEU394PNeurobiology of Learning and Memory
NEU394PCurrent Topics in Behavioral Neuroscience
NTR390Molecular Nutritional Sciences
PGS380FBiomedical Pharmacology
PGS384LBiochemistry and Molecular Toxicology
PGS388CEnzyme Catalysts, Mechanisms and Applications
PGS388KMolecular Mechanisms and Methods in Nutrition and Cancer
PHR391Advanced Pharmaceutics
PHY382PBiophysics & Biological Physics
PSY387SPrinciples of Cognitive Neuroscience
PSY380EVision Systems
PSY394UIntroduction to Sensory Motor Systems
SLH391QAnatomy & Physiology of the Auditory System


Math and Statistics

These courses will satisfy the math and statistics requirement and technical elective requirements. Any graduate level Math (M) or Statistics (SDS) course will fulfill this requirement. 

Dept.Num.Course Name
ASE380PAnalytical Methods
BME383Mathematical Modeling
BME380J5-Biostatistics, Study Design, and Research Methods
BME383JIntroduction to Mathematical and Physical Biology
BME383JMathematical Physiology
CH382L/MAdvanced Physical Chemistry: Statistical Mechanics
C S384RGeometric Bio-Modeling and Visualization
C S395TComputational Statistics with Application to Bioinformatics
CSE383KNumerical Analysis: Linear Algebra
CSE384KTheory of Probability
CSE386LMathematical Methods in Science and Engineering
CSE389CIntroduction to Math Modeling in Science and Engineering
CSE389DMathematical Modeling in Science and Engineering II
CSE393FFinite Element Methods
CSE393HAdvanced Finite Element Theory
CSE397Introduction to Mathematical and Physical Biology
CSE397Validation and UQ in Computational Modeling
CSE397Computational Variational Methods for Inverse Problems
CSE397Scientific Machine Learning
EDP482KExperimental Design and Statistical Inference
ECE380LData Mining
ECE381JProbability and Stochastic Process
ECE381KConvex Optimization
E M388Solid Mechanics I
E M384KContinuum Mechanics
GEO384MInverse Theory
M384CMathematical Statistics I
M392CLie Groups
M392CDynamical Systems
PHR394MStatistics
SDS380CStatistical Methods I
SDS380DStatistical Methods II
SDS383CStatistical Modeling I
SDS384Mathematical Statistics
SDS384Bayesian Statistics
SDS3844-Regression Analysis
SDS3846-Design and Analysis of Experiments
SDS384Scientific Machine Learning
SDS385Computational Biology and Bioinformatics
SDS385Applied Regression
SDS385Statistical Models for Big Data
SDS386DMonte Carlo Methods
SDS392Introduction to Scientific Programming
STA38010-Mathematical Statistics for Applications


Track 1: Biomedical Imaging and Instrumentation

These courses will satisfy the Track 1 technical requirement and technical elective requirements. 

Dept.Num.Course Name
BME381J3-Biomedical Imaging: Signals and Systems
BME381J8-Functional Imaging Laboratory
BME381JElectrophysiology Frontiers
BME381J9-Fundamental Biomedical Optical Imaging
BME381J11-Medical Imaging
BME381J12-Optical Imaging
BME381JRehabilitation Engineering
BME383JComputational Imaging and Inverse Problems
BME384J1-Biomedical Instrumentation
BME384J5-Projects in Biomedical Engineering
BME384JBioelectronics/Biointerfaces
BME385JBiomedical Micro and Nanotechnology
BME381J10-Optics and Lasers
BME381J13-Fluorescence Microscopy and Spectroscopy
BME384JIntroduction to Neural Engineering
ECE381K16-Digital Video
ECE371R/QDigital Image Processing
ECE381KDigital Signal Processing
ECE381VGenomic Signal Processing
ECE385JBrain Computer Interaction
ECE385JNeural Engineering
M E397Haptic and Teleoperated Systems
PSY/NEU386DMultivariate Pattern Analysis of Neuroimaging Data
PSY394UMethods for fMRI


Track 2: Cell and Biomolecular Engineering

These courses will satisfy the Track 2 technical requirement and technical elective requirements. 

Dept.Num.Course Name
BME380J4-Fields, Forces and Flows
BME382J1-Cell and Tissue Engineering
BME382J3-Molecular Sensors and Nanodevices for BME Applications
BME382J4-Advanced Engineering Biomaterials
BME382J5-Structured Surfaces, Fabrication, Characterization and Application
BME382J6-Biopolymers and Drug/Gene Delivery
BME382J7-Cell and Molecular Biomechanics
BME382J8-Molecular Biophysics: Measurements and Methods
BME382J9-Biomimetic Design and Engineering
BME382J10-Immune Engineering
BME382JPolymer and Bioconjugate Chemistry
BME382JBionanotechnology
BME382JBiological Responses to Medical Devices
BME382JDelivery of Therapeutic Agents
BME382JNanomedicine
BME 382JMultiscale Biosystems/Microengineering
BME382JMatrices, Organoids, and Microphysiological Systems
BME383JModeling Biological Signal and Regulatory Systems
BME385J7-Tissue/Cells with Biomechanical Applications
BME385JCancer Bioengineering
BME385JTissue Microenvironments
BME385JGrowth and Remodeling of Tissue Systems
BME385J

Systems Immunology: Health and Disease

CH391Macromolecular Chemistry
CHE384TNanomaterials Chemistry and Engineering
CHE384TQuantitative Analysis of Cellular and Molecular Biology


Track 3: Computational Biomedical Engineering

These courses will satisfy the Track 3 technical requirement and technical elective requirements. 

Dept.Num.Course Name
BCH394PBioinformatics
BME383J5-Introduction to Nonlinear Dynamics in Biological Systems
BME383J9-Computational Methods for Biomedical Engineers I
BME383J10-Computational Methods for Biomedical Engineers II
BME383JAnalysis of Biological Systems
BME383JComputational Biomolecular Engineering
BME383JData Mining
BME383JIntroduction to Computational Oncology
BME383JIntroduction to Mathematical and Physical Biology
BME383JMathematical Physiology
BME383JComputational Imaging and Inverse Problems
BME385JComputational Modeling in Bioengineering and Medicine
BME385JMedical Decision Making
C S388Natural Language Processing
C S391LMachine Learning
C S395TFoundations of Predictive Machine Learning
CSE380Tools and Techniques for Computational Science
CSE397Computational Magnetic Resonance Imaging
ECE381KMachine Learning on Real World Networks
ECE381KApplied Machine Learning
ECE381VComputer Vision
ECE381VComputational MRI
ECE385JBrain-Computer Interaction
NEU385P/LProgramming and Data Analysis for Modern Neuroscience
SDS394Scientific & Technical Computing
SDS385Computational Biology and Bioinformatics


Track 4: Molecular, Cellular, and Tissue Biomechanics

These courses will satisfy the Track 4 technical requirement and technical elective requirements. 

Dept.Num.Course Name
BME381JRehabilitation Engineering
BME382J9-Biomimetic Design and Engineering
BME382JMultiscale Biosystems/Microengineering
BME383J2-Musculoskeletal Biomechanics
BME383J4-Biomechanics of Human Movement
BME384J4-Bioelectric Phenomena
BME384TCell/Tissue/Scaffold Biomechanics
BME385JModeling/Simulating Cardiac Function
BME382JCell and Molecular Biomechanics
BME382J8-Molecular Biophysics: Measurements and Methods
BME385J7-Tissue/Cell Biomechanical Applications
BME385JThin Film Mechanics
BME385JTissue/Scaffold Biomechanics
BME385JSoft Tissue Biomechanics
BME385JGrowth and Remodeling of Tissue Systems
CH393LTopic: Biophysics
E M384KContinuum Mechanics


Technical Electives

These courses will satisfy the technical elective requirements only. They will not count toward any of the Track 1-4 technical requirements. 

Students are allowed to substitute one professional development (PD) elective for one technical elective. 

Dept.Num.Course Name
ASE382QFundamentals of Incompressible Flow
BGS380Health Law: A New Approach (PD)
BIO382KInformatics/Data Analysis for Life Sciences
BIO384KPython Programming for Biology
BIO384KDEI in STEM: The Science Behind Bias
BME385JMedical Device Design and Manufacturing
BME385JInquiry-Based Instruction Design
BME385JImaging Clinical Immersion
BME385JHealth Equity in Engineering Design
C E397Environmental Implications of Nanomaterials
CHE392Polymer Science
CHE392PIntroduction to Polymer Materials Science
CHE384PEntrepreneurship (PD)
CHE386KX-Ray Diff Theory
CH393LTopic: Elements of Spectroscopy
C S380LAdvanced Operating Systems
C S386LProgramming Languages
C S394DDeep Learning
C S395TScalable Machine Learning
C S395TPhysical Simulation
C S395TIntroduction to Cognitive Science
CSE392Geo Fdtns Data Sci/Predctv ML
ECE382NComputer Architecture
ECE385JNeural Engineering
KIN386Qualitative Research Methods
M E385JModeling and Simulation of Human Movement
M E387RPractical Electron Microscopy
M E390NHealth Physics Laboratory
M E395The Enterprise of Technology (PD)
M E397Additive Manufacturing
M E397Algorithms for Sensor-Based Robotics
MIS381NUser Generated Content Analytics
PGS381GAdvanced Manufacturing Pharmacology
PGS380MAdvanced Pharmaceutics Experimental Design
PGS381FPharmaceutical Product Development
PGS382VPharmaceutical Biotechnology
PGS384KFundamentals of Toxicology
PGS389MFundamentals of Health Innovations
PSY381DBrain Connectivity
PSY394PNeuroinflammation in Health/Pain
TXA395Body Scanning and Virtual Clothing