Ph.D. in Bioengineering
For Students Entering Prior to Fall 2024
Entering with approved bachelor’s degree only
(Stage 1 – 96 total credit hours)
- Complete the core curriculum - 21 credit hours
- 400/500 technical electives - 20 credit hours (at least 12 hours must be engineering graduate-level technical elective courses)
- BIOE 599 (research credit) - 55 credit hours
- Pass exams (qualifying, preliminary, final)
- Complete dissertation with committee approval
Entering with approved bachelor’s and master’s degrees
(Stage 2 – 64 total credit hours)
- BIOE 500, 501, 502 are required - 4 hours total (BIOE 500 taken twice)
- 400/500 technical electives - 8 credit hours (BIOE 504 and 505 are strongly encouraged)
- BIOE 599 (research credit) - 52 credit hours
- Pass exams (qualifying, preliminary, final)
- Complete dissertation with committee approval
For Students Entering Fall 2024 and Beyond
Entering with approved bachelor's degree only (Stage 1 - 96 total credit hours)
Course List |
|
Hours |
Professional Development |
|
6 |
| BIOE 500 | Graduate Seminar (first four semesters) | 4 |
| BIOE 502 | Bioengineering Professionalism (first semster) | 2 |
Thesis Research |
66 |
|
| BIOE 599 | Thesis Research (min-max applied toward degree) | 66 |
Technical Elective Courses |
12 |
|
| 3 courses selected in consultation with advisor | 12 | |
Fundamental Courses |
12 |
|
| Students must select one course from each of the three categories below in consultation with their advisor | ||
Statistics and Data Science |
||
| BIOE 484 | Statistical Analysis of Biomedical Images | 4 |
| BIOE 505 | Computational Bioengineering | 4 |
| IB 501 | Programming Genomics | 4 |
| STAT 510 | Mathematical Statistics | 4 |
| STAT 511 | Advanced Mathematical Statistics | 4 |
| STAT 525 | Topics in Computational Statistics | 4 |
| STAT 527 | Advanced Regression Analysis | 4 |
| STAT 528 | Advanced Regression Analysis II | 4 |
| STAT 530 | Bioinformatics | 4 |
| STAT 533 | Advanced Stochastic Processes | 4 |
| STAT 534 | Advanced Survival Analysis | 4 |
| STAT 541 | Advanced Predictive Analytics | 4 |
| STAT 542 | Statistical Learning | 4 |
| STAT 543 | Appl. Multivariate Statistics | 4 |
| STAT 545 | Spatial Statistics | 4 |
| STAT 546 | Machine Learning in Data Science | 4 |
| STAT 551 | Theory of Probability I | 4 |
| STAT 552 | Theory of Probability II | 4 |
| STAT 553 | Probability and Measure I | 4 |
| STAT 554 | Probability and Measure II | 4 |
| STAT 555 | Applied Stochastic Processes | 4 |
| STAT 556 | Advanced Time Series Analysis | 4 |
| STAT 558 | Risk Modeling and Analysis | 4 |
| STAT 571 | Multivariate Analysis | 4 |
| STAT 575 | Large Sample Theory | 4 |
| STAT 576 | Empirical Process Theory and Weal Convergence | 4 |
| STAT 578 | Topics in Statistics | 4 |
| STAT 587 | Hierarchical Linear Models | 4 |
| STAT 588 | Covar Struct and Factor Models | 4 |
Engineering and Math |
||
| BIOE 432 | Systems Biology: Uncovering Design Principals of Biological Networks | 3 or 4 |
| BIOE 450 | Introduction to Quantitative Pharmacology | 3 or 4 |
| BIOE 485 | Computational Mathematics for Machine Learning and Imaging | 4 |
| BIOE 504 | Analytical Methods in Bioeng | 4 |
Life Sciences |
||
| BIOE 430 | Intro Synthetic Biology | 4 |
| BIOE 434 | Immunoengineering | 3 or 4 |
| BIOE 487 | Stem Cell Bioengineering | 4 |
| BIOE 526 | Advances in Biotechnology | 4 |
Total Hours |
96 |
Other Requirements and Conditions
Requirement |
| Other Requirements and Conditions may overlap |
| 12 total hours from the Fundamental Courses and/or Technical Elective Courses categories must be BIOE-rubric courses. |
| Minimum program GPA: 3.0 |
| Qualifying exam |
| Preliminary exam |
| Final exam and dissertation defense |
| Dissertation deposit |
Entering with approved bachelor's and master's degrees (Stage 2 - 64 total credit hours)
Course List |
Hours |
|
Professional Development |
4 |
|
| BIOE 500 | Graduate Seminar (first two semesters) | 2 |
| BIOE 502 | Bioengineering Professionalism (first semester) | 2 |
Thesis Research |
52 |
|
| BIOE 599 | Thesis Research (min-max applied toward degree) | 52 |
Technical Elective Courses |
8 |
|
| Selected in consultation with advisor (first year) | 8 | |
Total Hours |
64 |
Other Requirements and Conditions
| Requirements |
| Other Requirements and Conditions may overlap |
| Minimum program GPA: 3.0 |
| A Masters degree is required for admission to the Ph.D. program |
| Qualifying exam |
| Preliminary exam |
| Final exam and dissertation defense |
| Dissertation deposit |