Medicine and Engineering
Engineering the Future of Healthcare
There is no greater engineering challenge than to improve human health. You may have heard the saying: "If you want to go fast, go alone but if you want to go far, go together." Together the integration of Medicine and Engineering can take healthcare farther. We aim to fundamentally change how we see, learn, innovate, implement and carryout the practice of medicine and the healing of people.
Vision
To be a global leader in training physicians capable of blending medical knowledge with a fundamental underpinning of engineering.
Mission
To provide evidence based, innovative educational opportunities to medical students who strive to advance medical practice in the communities they serve and across the globe.
Synergistic Partnership
Through this unique partnership our goal is to realize the impact of engineering on medicine in the same way we have seen it influence the technology sector, such as space exploration. It represents a new leap forward to train the next generation of clinical and engineering visionaries as they advance health care. We aim to accomplish this by ensuring the following:
- Provide students the opportunity to customize their experience by choosing between commercialization, innovative research or both.
- Integrate the analytic reasoning of engineering into patient care to bring forth a holistic differential approach to decision making in clinical settings
- Lead the way physicians will be trained in the future
- Train bold innovators who participate in creation, interpretation and presentation of medical data
- Medical practices compliant to an receivable by rural communities
- Establish state-of-the-art, sustainable education models for the next generation of physicians to become independent learners
- Continually reimagine and reframe inclusive teaching approaches that emphasize both technical and social considerations of patient care
- Provide a collaborative and interdisciplinary learning environment that promotes convergence in research
- Creating a culture of innovation and research development based in bio-inspired design, Big Data and nanotechnology
- Build a dynamic service network that responds to challenges in healthcare at all levels; local to global
Program Outline and Coursework
Students will take 12 hours of required coursework in the and 12 hours of elective MSBIOE coursework; 6 hours will focus on research. Thesis students take 4 additional graduate courses that meet with the advisor's approval. The free electives are very diverse in nature. Students are encouraged to explore courses outside their specific backgrounds. Approval in advance by the advisor is require for each course selected under this category. Many have been preapproved as free electives.
| Course | Hours |
| ChE 5363 Biochemical engineering | 3 |
| ChE 5364 Chemical engineering applications in biological systems | 3 |
| ChE 5366 Biomicrofluidics | 3 |
| ECE 5350: Introduction to medical instrumentation | 3 |
| ECE 5351 Biomedical Signal Processing | 3 |
| ECE 5352 Medical Imaging | 3 |
| ECE 5367 Image Processing | 3 |
| IE 5356 Biomedical Design and manufacturing | 3 |
| ME 5356 Digital human modeling | 3 |
| Course | Hours |
| ChE 5310 Advanced chemical engineering techniques | 3 |
| CS 5328 Scientific computing | 3 |
| ECE 5371 Engineering analysis | 3 |
| IE 5342 Design of experiments | 3 |
| IE 5344 Statistical Data Analysis | 3 |
| ME 5301 Analysis of engineering systems | 3 |
| MATH 5310: Principles of Classical Applied Analysis I | 3 |
| MATH 5330: Theory of Ordinary Differential Equations I | 3 |
| MATH 5332: Partial Differential Equations I | 3 |
| MATH 5334: Numerical Analysis I | 3 |
| MATH 5354: Biomathematics I | 3 |
| MATH 5355: Biomathematics II | 3 |
| STAT 5384: Statistics for Engineers and Scientists I | 3 |
| STAT 5385: Statistics for Engineers and Scientists II | 3 |
| STAT 5373: Design of Experiments | 3 |
| Course | Hours |
| CS 5331: Intelligent Planning and Diagnosis | 3 |
| CS 5341: Pattern Recognition | 3 |
| CS 5356: Advanced Database Management Systems | 3 |
| CS 5368: Intelligent Systems | 3 |
| CS 5388: Neural Networks | 3 |
| CS 5391: AI Robotics | 3 |
| CS 5392: Reinforcement Learning | 3 |
| CS 5393: Bioinformatics | 3 |
| ECE 5332: Acquisition and Processing of the EEG | 3 |
| ECE 5355: Genomic Signal Processing and Control | 3 |
| ECE 5356: Biosensors and Bioelectronics | 3 |
| ECE 5363: Pattern Recognition | 3 |
| ECE 5364: Digital Signal Processing | 3 |
| ECE 6360: Computer Vision and Image Reconstruction | 3 |
| ECE 6363: Advanced Pattern Recognition | 3 |
| IE 5301: Ergonomics and Design | 3 |
| IE 5303: Work Physiology | 3 |
| IE 5304: Occupational Biomechanics | 3 |
| IE 5309: Human Factors in Engineering and Design | 3 |
| IE 5331: Special Topics in IE: Healthcare Systems Engineering | 3 |
| ME 5340: Elasticity | 3 |
| ME 5360: Biofluid Mechanics | 3 |