Complete all courses and requirements listed below unless otherwise indicated.
Milestones
Annual review
Qualifying examination (within two years of entry)
Dissertation committee
Annual committee meetings
Area examination (dissertation prospectus/proposal)
Dissertation defense
Core Requirements
Code | Title | Hours |
---|---|---|
Seminar | ||
BIOE 7390 | Seminar (Register and complete two semesters) | 0 |
BIOE 7391 | Student Seminar (Register and complete once in second year and once in fourth year) | 0 |
Required Core | ||
BIOE 6100 | Medical Physiology | 4 |
BIOE 6200 | Mathematical Methods in Bioengineering | 4 |
BIOE 7000 | Principles of Bioengineering | 4 |
Restricted Bioengineering Technical Electives | ||
Complete 8 semester hours from the following: | 8 | |
Dynamical Systems in Biological Engineering | ||
Modeling and Inference in Bioengineering | ||
Machine Learning Methods in Biology and Health | ||
Engineering Approaches to Precision Medicine I | ||
Engineering Approaches to Precision Medicine II | ||
Computational Methods in Systems Bioengineering | ||
Technical Electives | ||
Complete 12 semester hours from the electives listed below. | 12 |
Electives Course List
Any course in the following list will serve as an elective course, provided the course is offered and the student satisfies prerequisites and program requirements. Students can take electives outside this list with prior approval from the faculty advisor.
Code | Title | Hours |
---|---|---|
Genomics in Bioinformatics | ||
Special Topics in Bioengineering | ||
Dynamical Systems in Biological Engineering | ||
Biomedical Imaging | ||
Regulatory and Quality Aspects of Medical Device Design | ||
Molecular Bioengineering | ||
Applied Molecular Bioengineering | ||
Cellular Engineering | ||
Principles and Applications of Tissue Engineering | ||
The Cell as a Machine | ||
Stem Cell Engineering | ||
Bioengineering Products/Technology Commercialization | ||
Bioengineering Design for Robotic Rehabilitation | ||
Physiological Fluid Mechanics | ||
Computational Biomechanics | ||
Biomedical Optics | ||
Multiscale Biomechanics | ||
Integrative Mechanobiology | ||
Experimental Systems and Synthetic Bioengineering | ||
Advanced Experimental Systems and Synthetic Bioengineering | ||
Physical Bioengineering | ||
Modeling and Inference in Bioengineering | ||
Method and Logic in Systems Biology and Bioengineering | ||
Machine Learning Methods in Biology and Health | ||
Systems, Signals, and Controls for Bioengineers | ||
Design of Biomedical Instrumentation | ||
Biomaterials | ||
Design of Implants | ||
Engineering Approaches to Precision Medicine I | ||
Engineering Approaches to Precision Medicine II | ||
Computational Methods in Systems Bioengineering | ||
A Data Science Toolkit for Human Neuroscience Research | ||
Stem Cells and Regeneration | ||
Multidisciplinary Approaches in Motor Control | ||
Molecular Cell Biology for Biotechnology | ||
Biochemistry | ||
Molecular Cell Biology | ||
Research, Evaluation, and Data Analysis | ||
Principles of Mass Spectrometry | ||
Protein Chemistry | ||
Principles of Chemical Biology | ||
Molecular Modeling | ||
Biochemical Engineering | ||
Foundations of Artificial Intelligence | ||
Database Management Systems | ||
Computer Graphics | ||
Pattern Recognition and Computer Vision | ||
Robotic Science and Systems | ||
Computer/Human Interaction | ||
Principles of Programming Language | ||
Computer Systems | ||
Algorithms | ||
Natural Language Processing | ||
Machine Learning | ||
Information Retrieval | ||
Compilers | ||
Supervised Machine Learning and Learning Theory | ||
Unsupervised Machine Learning and Data Mining | ||
Micro- and Nanofabrication | ||
Data Visualization | ||
Linear Systems Analysis | ||
Electromagnetic Theory 1 | ||
Complex Variable Theory and Differential Equations | ||
Applied Probability and Stochastic Processes | ||
Fundamentals of Computer Engineering | ||
Nonlinear Control | ||
System Identification and Adaptive Control | ||
Optimal and Robust Control | ||
Computational Methods in Electromagnetics | ||
Modern Signal Processing | ||
Numerical Optimization Methods | ||
Information Theory | ||
Computer Architecture | ||
VLSI Design | ||
Mobile and Wireless Networking | ||
High-Level Design of Hardware-Software Systems | ||
Introduction to Patient Safety | ||
Patient Safety Science | ||
Quality Improvement in Patient Safety | ||
AI Across the Health Sciences | ||
Methods for Observational Research 1 | ||
Phenotyping | ||
Cohort Building | ||
Human Factors Engineering | ||
Advanced Mechanics of Materials | ||
Elasticity and Plasticity | ||
Dynamics and Mechanical Vibration | ||
Finite Element Method 1 | ||
Continuum Mechanics | ||
Control Systems Engineering | ||
Musculoskeletal Biomechanics | ||
Mathematical Methods for Mechanical Engineers 1 | ||
Introduction to Microelectromechanical Systems (MEMS) | ||
Finite Element Method 2 | ||
Essentials of Fluid Dynamics | ||
Nano/Biomedical Commercialization: Concept to Market | ||
Deterministic Operations Research | ||
Concepts in Pharmaceutical Science | ||
Biophysical Methods in Drug Discovery | ||
Biostatistics in Public Health | ||
Environmental Health | ||
Advanced Methods in Biostatistics | ||
Network Science 1 | ||
Classical Mechanics/Math Methods | ||
Computational Physics | ||
Physics of Biological Processes and Living Systems 2 | ||
Advanced Physical Pharmacy | ||
Pharmacokinetics and Drug Metabolism | ||
Advanced Drug Delivery Systems | ||
Neuroscience and Lab for PT 5138 | ||
Motor Control, Development, and Learning and Lab for PT 5150 |
Dissertation
Code | Title | Hours |
---|---|---|
Dissertation Term 1 | ||
Dissertation Term 2 |
Program Credit/GPA Requirements
32 total semester hours required
Minimum 3.000 GPA required
Complete all courses and requirements listed below unless otherwise indicated.
Milestones
Annual review
Qualifying examination (within two years of entry)
Dissertation committee
Area examination (dissertation prospectus/proposal)
Dissertation defense
Core Requirements
Code | Title | Hours |
---|---|---|
Seminar | ||
BIOE 7390 | Seminar (Register and complete two semesters) | 0 |
BIOE 7391 | Student Seminar (Register and complete once in second year and once in fourth year) | 0 |
Required Core | ||
BIOE 6200 | Mathematical Methods in Bioengineering | 4 |
BIOE 7000 | Principles of Bioengineering | 4 |
Approved Coursework | ||
Complete 8 semester hours from the electives listed below. | 8 |
Electives Course List
Code | Title | Hours |
---|---|---|
Any course in the following list will serve as an elective course, provided the course is offered and the student satisfies prerequisites and program requirements. Students can take electives outside this list with prior approval from the faculty advisor. | ||
Genomics in Bioinformatics | ||
Special Topics in Bioengineering | ||
Dynamical Systems in Biological Engineering | ||
Biomedical Imaging | ||
Regulatory and Quality Aspects of Medical Device Design | ||
Molecular Bioengineering | ||
Applied Molecular Bioengineering | ||
Cellular Engineering | ||
Principles and Applications of Tissue Engineering | ||
The Cell as a Machine | ||
Stem Cell Engineering | ||
Bioengineering Products/Technology Commercialization | ||
Bioengineering Design for Robotic Rehabilitation | ||
Physiological Fluid Mechanics | ||
Computational Biomechanics | ||
Biomedical Optics | ||
Multiscale Biomechanics | ||
Integrative Mechanobiology | ||
Experimental Systems and Synthetic Bioengineering | ||
Physical Bioengineering | ||
Modeling and Inference in Bioengineering | ||
Method and Logic in Systems Biology and Bioengineering | ||
Machine Learning Methods in Biology and Health | ||
Systems, Signals, and Controls for Bioengineers | ||
Design of Biomedical Instrumentation | ||
Biomaterials | ||
Design of Implants | ||
Engineering Approaches to Precision Medicine I | ||
Engineering Approaches to Precision Medicine II | ||
Computational Methods in Systems Bioengineering | ||
Medical Physiology | ||
A Data Science Toolkit for Human Neuroscience Research | ||
Stem Cells and Regeneration | ||
Multidisciplinary Approaches in Motor Control | ||
Biochemistry | ||
Molecular Cell Biology | ||
Research, Evaluation, and Data Analysis | ||
Protein Chemistry | ||
Principles of Chemical Biology | ||
Molecular Modeling | ||
Biochemical Engineering | ||
Foundations of Artificial Intelligence | ||
Database Management Systems | ||
Computer Graphics | ||
Pattern Recognition and Computer Vision | ||
Robotic Science and Systems | ||
Computer/Human Interaction | ||
Principles of Programming Language | ||
Computer Systems | ||
Algorithms | ||
Natural Language Processing | ||
Machine Learning | ||
Information Retrieval | ||
Compilers | ||
Supervised Machine Learning and Learning Theory | ||
Unsupervised Machine Learning and Data Mining | ||
Micro- and Nanofabrication | ||
Data Visualization | ||
Linear Systems Analysis | ||
Electromagnetic Theory 1 | ||
Complex Variable Theory and Differential Equations | ||
Applied Probability and Stochastic Processes | ||
Fundamentals of Computer Engineering | ||
Nonlinear Control | ||
System Identification and Adaptive Control | ||
Optimal and Robust Control | ||
Computational Methods in Electromagnetics | ||
Modern Signal Processing | ||
Numerical Optimization Methods | ||
Information Theory | ||
Computer Architecture | ||
VLSI Design | ||
Mobile and Wireless Networking | ||
High-Level Design of Hardware-Software Systems | ||
Introduction to Patient Safety | ||
Patient Safety Science | ||
Quality Improvement in Patient Safety | ||
AI Across the Health Sciences | ||
Methods for Observational Research 1 | ||
Phenotyping | ||
Cohort Building | ||
Human Factors Engineering | ||
Advanced Mechanics of Materials | ||
Elasticity and Plasticity | ||
Dynamics and Mechanical Vibration | ||
Finite Element Method 1 | ||
Continuum Mechanics | ||
Control Systems Engineering | ||
Musculoskeletal Biomechanics | ||
Mathematical Methods for Mechanical Engineers 1 | ||
Introduction to Microelectromechanical Systems (MEMS) | ||
Finite Element Method 2 | ||
Essentials of Fluid Dynamics | ||
Nano/Biomedical Commercialization: Concept to Market | ||
Deterministic Operations Research | ||
Concepts in Pharmaceutical Science | ||
Biophysical Methods in Drug Discovery | ||
Biostatistics in Public Health | ||
Environmental Health | ||
Advanced Methods in Biostatistics | ||
Network Science 1 | ||
Classical Mechanics/Math Methods | ||
Computational Physics | ||
Physics of Biological Processes and Living Systems 2 | ||
Advanced Physical Pharmacy | ||
Pharmacokinetics and Drug Metabolism | ||
Advanced Drug Delivery Systems | ||
Neuroscience and Lab for PT 5138 | ||
Motor Control, Development, and Learning and Lab for PT 5150 |
Dissertation
Code | Title | Hours |
---|---|---|
Dissertation Term 1 | ||
Dissertation Term 2 |
Program Credit/GPA Requirements
16 total semester hours required
Minimum 3.000 GPA required