The interdisciplinary Bioengineering Doctor of Philosophy program reflects departmental research strengths in multiple areas. Students accepted to the bioengineering program will undertake a rigorous core curriculum in basic bioengineering science, followed by a flexible selection of electives tailored to their dissertation research. There are four key areas of research strength in our department.
Area 1—Imaging, Instrumentation, and Signal Processing
Area 2—Biomechanics, Biotransport, and Mechanobiology
Area 3—Molecular, Cell, and Tissue Engineering
Area 4—Computational and Systems Biology
Biology can inspire engineering. Increasingly, discoveries in the life sciences reveal processes, complexity, and control without analogy in the world of traditional engineering. Current methods of producing nanoscale control over molecules cannot reproduce the organization found in even the simplest organisms. Energy capture, robust control, remediation, and self-assembly are all employed by biosystems with efficiency unparalleled by anything in today’s laboratories. At the same time, traditional engineering disciplines struggle to find new approaches to the complex challenges of 21st-century technology. The last 50 years of basic life science research have gradually revealed the layers of complexity intrinsic to biological processes, unmasking the fundamental underpinnings on which biological systems are constructed. Bioinspired engineering has the potential to transform the technological landscape of the 21st century. Astonishingly, it represents merely one of the myriad opportunities presented at the interface of biology and engineering.
The field of bioengineering is broad and includes all research at the interface of engineering and biology—this includes bioprocesses, environmental microbiology, biomaterials and tissue engineering, bioelectricity, biomechanics, biomedical and biological imaging, nanotechnology in medicine and the environment, and engineering design for human interfacing. At Northeastern, bioengineering PhD students have an opportunity to be trained to appreciate advances in bioengineering across a wide range of disciplines while they perform highly focused and cutting-edge bioengineering research with one of our faculty members.
Degree Requirements
Completion of the PhD degree requires students to successfully complete the following requirements:
- Curriculum: The curriculum comprises a strong core of fundamental courses that is coupled with a flexible choice of restricted and unrestricted technical electives to provide depth in a particular field of study. The detailed course requirements are outlined below.
- Qualifying exam (written and oral): To qualify to continue in the PhD program, students must pass the bioengineering comprehensive qualifying examination in the most relevant of the four department research areas. Students will prepare a six-page written document that will be distributed to the committee no later than 14 calendar days before the oral examination. Details of the formal qualification exam procedure and timing are available in the bioengineering office and may be requested electronically from the graduate director. In addition, satisfactory research progress and satisfactory academic standing is required to pass the exam. The qualifying exam is normally taken in the fall semester of the student’s second year. Students who fail the qualifying exam on the first attempt may retake the exam once in the following spring semester. Students may not take the qualifying exam more than twice.
- Qualifying exam committee:The qualifying examination committee is composed of three members of the Department of Bioengineering faculty. At least two of three committee members will be from the student’s research area. The student's primary research advisor may not sit on the qualifying exam committee.
- PhD dissertation committee: Students normally form their dissertation committee within two years of joining the PhD program. The dissertation committee is composed of a minimum of three members, two of whom must be core faculty from the Department of Bioengineering. The student's primary advisor will be a member of and chair the dissertation committee. This advisor must be a member of the core bioengineering faculty or a faculty member from another department who has an affiliation with the bioengineering department. Students are required to meet annually with their PhD dissertation committee to ensure satisfactory research progress.
- Annual committee meetings and dissertation proposals: PhD students must hold their first committee meeting no later than their third year. The first committee meeting requires the student to write a dissertation proposal in the form of an NIH-style R21 proposal research plan that will be distributed to their dissertation committee at least one week prior to the meeting. Thereafter, students are expected to hold annual progress updates with their committee. At the penultimate committee meeting (which must be held at least four months prior to the dissertation defense), the student will prepare and present a final proposal document to the committee. Successful defense of this proposal will allow the student to progress to the PhD dissertation defense.
- PhD dissertation defense: PhD candidates must satisfactorily complete and defend a dissertation describing original research in bioengineering in an open presentation to the Northeastern bioengineering community, followed by a closed meeting with their dissertation committee in which they are expected to defend their work and answer all relevant questions regarding that work, its significance, and its relationship to ongoing work across the broader research community.
- Dissertation course requirements: After achieving PhD candidacy by passing the qualifying exam, the doctoral candidate, in consultation with his or her research advisor, must register in two consecutive semesters (may include full summer term) for Dissertation Term 1 (BIOE 9990) and Dissertation Term 2 (BIOE 9991). Upon completion of this sequence, the student must then register for Dissertation Continuation (BIOE 9996) in every semester (in each fall and spring term and also in the summer term if summer is the student's last semester) until the dissertation is completed. Students may not register for Dissertation Continuation (BIOE 9996) until they fulfill the two-semester sequence of Dissertation Term 1 (BIOE 9990) and Dissertation Term 2 (BIOE 9991).
To meet the full-time registration requirement for PhD students who have completed the majority of their course work and not yet reached PhD candidacy, a zero-credit course, Exam Preparation—Doctoral (BIOE 8960), can be taken if needed to fulfill the full-time course registration requirement. Exam Preparation—Doctoral (BIOE 8960) is an individual instruction course, billed at 1 semester hour, and graded S or U. Exam Preparation—Doctoral (BIOE 8960) does not have any course content, and students must register in a section for which their research advisor is listed as the instructor.
For students possessing a baccalaureate in a suitable quantitative or technical field, the required course distribution is shown in the table below.
| Requirements | Credits |
|---|---|
| Required core courses | 12 |
| Restricted technical electives | 8 |
| Unrestricted technical electives | 12 |
| Advanced seminar (four semesters) | |
| Dissertation | |
| Minimum semester hours required | 32 |
The curriculum for PhD students with advanced standing will be selected from the available core and elective courses under the guidance of the program director and the student's primary advisor. The advanced standing PhD degree requires a minimum of 16 semester hours of course work to be approved by the graduate director and a completed PhD dissertation. Advanced standing constitutes receipt of a relevant and accepted master's degree at a qualified institution.
| Requirements | Credits |
|---|---|
| Advisor-approved course work | 16 |
| Advanced seminar (four semesters) | |
| Dissertation | |
| Minimum semester hours required | 16 |
The core department research areas are as follows. More details, associated core, and affiliated faculty can be found on the bioengineering department website.
Area 1—Imaging, Instrumentation, and Signal Processing
The Imaging, Instrumentation, and Signal Processing track reflects Northeastern University’s outstanding research profile in developing new technologies for visualizing biological processes and disease. Our department has active federally funded research spanning a broad spectrum of relevant areas in instrument design, contrast agent development, and advanced computational modeling and reconstruction methods. Example research centers include the Chemical Imaging of Living Systems Institute, the Translational Biophotonics Cluster, and the B-SPIRAL signal processing group.
Area 2—Biomechanics, Biotransport, and Mechanobiology
Motion, deformation, and flow of biological systems in response to applied loads elicit biological responses at the molecular and cellular levels that support the physiological function of tissues and organs and drive their adaptation and remodeling. To study these complex interactions, principles of solid, fluid, and transport mechanics must be combined with measures of biological function. The Biomechanics, Biotransport, and Mechanobiology track embraces this approach and leverages the strong expertise of Northeastern faculty attempting to tie applied loads to biological responses at multiple length and time scales.
Area 3—Molecular, Cell, and Tissue Engineering
Principles for engineering living cells and tissues are essential to address many of the most significant biomedical challenges facing our society today. These application areas include engineering biomaterials to coax and enable stem cells to form functional tissue or to heal damaged tissue; designing vehicles for delivering genes and therapeutics to reach specific target cells to treat a disease; and uncovering therapeutic strategies to curb pathological cell behaviors and tissue phenotypes. At a more fundamental level, the field is at the nascent stages of understanding how cells make decisions in complex microenvironments and how cells interact with each other and their surrounding environment to organize into complex three-dimensional tissues. Advances will require multiscale experimental, computational, and theoretical approaches spanning molecular-cellular-tissue levels and integration of molecular and physical mechanisms, including the role of mechanical forces.
Area 4—Computational and Systems Biology
We aim to understand the rules governing emergent systems-level behavior and to use these rules to rationally engineer biological systems. We make quantitative measurements, often at the single-cell level, to test different conceptual frameworks and discriminate among different classes of models. Our faculty are leaders in developing and applying both theoretical methods, e.g., control theory, and experimental methods, e.g., single-cell proteomics by mass-spec, to biological systems. At the organ and tissue levels, 3D scans acquired through medical imaging methods (e.g., US, CT, MRI, etc.) may be used to reconstruct virtual models of targeted systems. Noninvasive measures of the physiological function can then inform numerical simulations to predict the behavior of biological systems over time, with the goal of estimating the progression toward pathological endpoints or to test the efficacy of targeted surgical procedures and pharmaceutical treatments (e.g., drug delivery).
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 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 | |
| Biomedical Imaging | ||
| Molecular Bioengineering | ||
| Cellular Engineering | ||
| Principles and Applications of Tissue Engineering | ||
| The Cell as a Machine | ||
| Physiological Fluid Mechanics | ||
| Biomedical Optics | ||
| Multiscale Biomechanics | ||
| Fields, Forces, and Flows in Biological Systems | ||
| Design of Biomedical Instrumentation | ||
| Biomaterials | ||
| Musculoskeletal Biomechanics | ||
| Technical Electives | ||
| Complete 12 semester hours from the Elective Course List. | 12 | |
Elective Course List
| Code | Title | Hours |
|---|---|---|
| Biomedical Imaging | ||
| Design, Manufacture, and Evaluation of Medical Devices | ||
| Molecular Bioengineering | ||
| Cellular Engineering | ||
| Principles and Applications of Tissue Engineering | ||
| The Cell as a Machine | ||
| Stem Cell Engineering | ||
| Physiological Fluid Mechanics | ||
| Computational Biomechanics | ||
| Biomedical Optics | ||
| Multiscale Biomechanics | ||
| Fields, Forces, and Flows in Biological Systems | ||
| Design of Biomedical Instrumentation | ||
| Biomaterials | ||
| Special Topics in Cell and Tissue Engineering | ||
| Biological Electron Microscopy | ||
| Stem Cells and Regeneration | ||
| Multidisciplinary Approaches in Motor Control | ||
| Biochemistry | ||
| Molecular Cell Biology | ||
| Research Methods and Critical Analysis in Molecular Cell Biology | ||
| Research, Evaluation, and Data Analysis | ||
| Principles of Mass Spectrometry | ||
| Protein Chemistry | ||
| Principles of Chemical Biology for Chemists | ||
| Molecular Modeling | ||
| Advances in Nanomaterials | ||
| Analytical Biotechnology | ||
| Biochemical Engineering | ||
| Foundations of Artificial Intelligence | ||
| Database Management Systems | ||
| Computer Graphics | ||
| Pattern Recognition and Computer Vision | ||
| Robotic Science and Systems | ||
| Principles of Programming Language | ||
| Computer Systems | ||
| Algorithms | ||
| Machine Learning | ||
| Information Retrieval | ||
| Compilers | ||
| 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 | ||
| Human Factors Engineering | ||
| Advanced Mechanics of Materials | ||
| Dynamics and Mechanical Vibration | ||
| Finite Element Method | ||
| Control Systems Engineering | ||
| Musculoskeletal Biomechanics | ||
| Mathematical Methods for Mechanical Engineers 1 | ||
| Introduction to Microelectromechanical Systems (MEMS) | ||
| Elasticity and Plasticity | ||
| Advanced Finite Element Method | ||
| Continuum Mechanics and Nonlinear FEM | ||
| Essentials of Fluid Dynamics | ||
| Nano/Biomedical Commercialization: Concept to Market | ||
| Deterministic Operations Research | ||
| Concepts in Pharmaceutical Science | ||
| Biomedical Chemical Analysis | ||
| Biophysical Methods in Drug Discovery | ||
| Classical Mechanics/Math Methods | ||
| Computational Physics | ||
| Biological Physics 2 | ||
| Advanced Physical Pharmacy | ||
| Pharmacokinetics and Drug Metabolism | ||
| Advanced Drug Delivery Systems | ||
| Neuroscience | ||
| Lab for PT 5138 | ||
| Motor Control, Development, and Learning | ||
| Lab for PT 5150 | ||
| Speech Science |
Dissertation
| Code | Title | Hours |
|---|---|---|
| Complete the following two courses: | ||
| 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 |
| Approved Course Work | ||
| Complete 16 semester hours from the Elective Course List. | 16 | |
Elective Course List
| Code | Title | Hours |
|---|---|---|
| Biomedical Imaging | ||
| Design, Manufacture, and Evaluation of Medical Devices | ||
| Molecular Bioengineering | ||
| Cellular Engineering | ||
| Principles and Applications of Tissue Engineering | ||
| The Cell as a Machine | ||
| Stem Cell Engineering | ||
| Physiological Fluid Mechanics | ||
| Computational Biomechanics | ||
| Biomedical Optics | ||
| Multiscale Biomechanics | ||
| Fields, Forces, and Flows in Biological Systems | ||
| Design of Biomedical Instrumentation | ||
| Biomaterials | ||
| Special Topics in Cell and Tissue Engineering | ||
| Biological Electron Microscopy | ||
| Stem Cells and Regeneration | ||
| Multidisciplinary Approaches in Motor Control | ||
| Biochemistry | ||
| Molecular Cell Biology | ||
| Research Methods and Critical Analysis in Molecular Cell Biology | ||
| Research, Evaluation, and Data Analysis | ||
| Protein Chemistry | ||
| Principles of Chemical Biology for Chemists | ||
| Molecular Modeling | ||
| Advances in Nanomaterials | ||
| Analytical Biotechnology | ||
| Biochemical Engineering | ||
| Foundations of Artificial Intelligence | ||
| Database Management Systems | ||
| Computer Graphics | ||
| Pattern Recognition and Computer Vision | ||
| Robotic Science and Systems | ||
| Principles of Programming Language | ||
| Computer Systems | ||
| Algorithms | ||
| Machine Learning | ||
| Information Retrieval | ||
| Compilers | ||
| 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 | ||
| Human Factors Engineering | ||
| Advanced Mechanics of Materials | ||
| Dynamics and Mechanical Vibration | ||
| Finite Element Method | ||
| Control Systems Engineering | ||
| Musculoskeletal Biomechanics | ||
| Mathematical Methods for Mechanical Engineers 1 | ||
| Introduction to Microelectromechanical Systems (MEMS) | ||
| Elasticity and Plasticity | ||
| Advanced Finite Element Method | ||
| Continuum Mechanics and Nonlinear FEM | ||
| Essentials of Fluid Dynamics | ||
| Nano/Biomedical Commercialization: Concept to Market | ||
| Deterministic Operations Research | ||
| Concepts in Pharmaceutical Science | ||
| Biomedical Chemical Analysis | ||
| Biophysical Methods in Drug Discovery | ||
| Classical Mechanics/Math Methods | ||
| Computational Physics | ||
| Biological Physics 2 | ||
| Advanced Physical Pharmacy | ||
| Pharmacokinetics and Drug Metabolism | ||
| Advanced Drug Delivery Systems | ||
| Neuroscience | ||
| Lab for PT 5138 | ||
| Motor Control, Development, and Learning | ||
| Lab for PT 5150 | ||
| Speech Science |
Dissertation
| Code | Title | Hours |
|---|---|---|
| Complete the following two courses: | ||
| Dissertation Term 1 | ||
| Dissertation Term 2 | ||
Program Credit/GPA Requirements
16 total semester hours required
Minimum 3.000 GPA required