Bioinformatics MS

Students Major: Bioinformatics
Degree Awarded:
Master of Science (MS)
Calendar Type: Quarter
Minimum Required Credits: 45.0
Co-op Option: None
Classification of Instructional Programs (CIP) code: 26.1103
Standard Occupational Classification (SOC) code: 15-1221; 15-1299; 15-2051; 19-4021; 15-1252

About the Program

The Bioinformatics program aims to train professional graduates for bioinformatics specialist roles in healthcare, biomedical research, pharmaceutical, and biotechnology industries by providing them with interdisciplinary knowledge and experience to develop and apply sophisticated computational methods for the analysis of biomedical data. The program consists of classes and electives included in certificates offered by the School of Biomedical Engineering and Science (Bioinformatics, Neurotechnologies and Neurosystems), the School of Computer and Information Sciences (Computational Data Science), the School of Engineering (Machine Learning Engineering) and the Graduate School of Biomedical Science and Professional Studies (Drug Discovery and Development).  

Master's students can choose to include a six-month graduate co-op cycle as part of their studies, supported by Drexel's Steinbright Career Development Center.

Pathways to Completion

As the graphic below indicates, students have defined pathways to earning the MS in Bioinformatics. The program starts with required and elective core classes in bioinformatics, and a choice of a specialization in either Computational Data Science or Neurotechnology and Neurosystems or Machine Learning Engineering over the first three quarter terms. In the second year, students have the choice to remain in the quarter term system to take a second specialization or transfer into the semester-based system to take classes in the Drug Discovery and Development Certificate offered by the College of Medicine. Additional options include graduate minors across Drexel's academic units. 

Additional Information

For questions about how to apply to the program, please contact:

Natalia Broz
Associate Director for Graduate Programs
School of Biomedical Engineering and Science 
Email: njb33@drexel.edu

Andres Kriete, PhD
Associate Dean for Academic Affairs
School of Biomedical Engineering and Science
Email: ak3652@drexel.edu

For more information, visit the The School of Biomedical Engineering and Science website.

Admission Requirements

Acceptance into the MS in Bioinformatics program requires a four-year bachelor's degree in sciences or engineering from a regionally accredited institution in the United States or an equivalent international institution. Regular acceptance typically requires a minimum cumulative grade point average of 3.0. The average for any graduate work must be at least 3.0.

Applicants must also fulfill the following requirements for consideration:

  • Official transcripts from all colleges and universities attended
  • References from at least two instructors or professionals
  • Essay
  • Resume

International applicants (non-United States citizens) must meet the same requirements for admission as students from the United States. Applicants whose native language is not English must demonstrate the ability to speak, write, and understand the English language by submitting an acceptable score on the Test of English as a Foreign Language (TOEFL). An evaluation by World Education Services (WES) is required for transcripts from institutions outside the United States.

Online applications are accepted all year-round, but all admitted students initiate their studies in the following fall term. Students are encouraged to apply no later than July 1 for consideration for admission the following fall term. Students may defer admission by one year.

Degree Requirements

Core Required Courses
BMES 546Biocomputational Languages4.0
or BMES 550 Advanced Biocomputational Languages
BMES 544Genome Information Engineering4.0
Core Elective Courses
Select 7.0-9.0 credits from the list below:7.0-9.0
Quantitative Systems Biology
Structural Bioinformatics and Drug Design
Machine Learning in Biomedical Applications
Biosystems Modeling
Genomic and Sequencing Technologies
Biomedical Signal Processing
Pharmacogenomics
Elective Tracks
Select two from the following: (Please note DDD Elective Track requires advisor approval for quarter-based students)30.0
[Elective Track 1] Computational Data Sciences (CDS)
Required Courses (6 credits)
Data Acquisition and Pre-Processing
Data Analysis and Interpretation
Elective Courses (Choose 9 credits)
Fundamentals of Databases
Introduction to Artificial Intelligence
Introduction to Computer Vision
Machine Learning
Deep Learning
Data Analysis at Scale
[Elective Track 2] Drug Discovery and Development (DDD)
Required courses (6 semester credits)
Drug Discovery and Development I
Drug Discovery and Development II
Elective courses (Choose 9 semester credits)
Cancer Biology
Epidemiology
Ethical Issues in Research
Business Processes and Contemporary Concerns in Pharmaceutical R & D
World Wide Regulatory Submissions
Intro to Clinical Trials
Applications of Clinical Research Biostatistics
Scientific Writing and Medical Literature
Current Federal Regulatory Issues in Biomedical Research
Pharmaceutical Law
Leadership Skills
Compliance & Monitoring Issues
Principles and Practice of Pharmacovigilance
Designing the Clinical Trial
Innovative Product Development
Fundamentals of Compliance
Introduction to Clinical Pharmacology
Informatics in Pharm Res & Development
Regulatory, Scientific and Social Issues Affecting Biotech Research
Health Policy and Economics
Strategic Planning
Special Topics in Clinical Research
Responsible Conduct of Research
Immunology I
Biotechniques I: Molecular and Genomic Methods
Vaccines and Vaccine Development
Fundamentals of Molecular Medicine I
Fundamentals of Molecular Medicine II
Animal Models for Biomedical Research
Statistics for Neuro/Pharm Research
Graduate Neuroscience I
Graduate Physiology
Current Topics in Pharmacology & Physiology
Pharm & Phys 1st Lab Rotation
Prin of Neuropharmacology
Graduate Pharmacology
Advanced Topics in Physiology
Advanced Topics in Pharmacology
New Frontiers in Therapy
Methods in Biomedical Research
Internship in Drug Discovery and Development
Intensive Internship in Drug Discovery and Development
Current Topics in Drug Discovery and Development
Research in Drug Discovery and Development
[Elective Track 3] Neurotechnologies and Neurosystems (NN)
Required courses for Option 3
Neural Signals
Principles in Neuroengineering
Elective courses for Option 3 (Choose 9 credits)
Experimental Methods in Neuroengineering
Systems Neuroscience and Applications I
Brain Computer Interfaces
Neural Networks
[Elective Track 4] Machine Learning Engineering (MLE)
Required courses for Option 4
Machine Learning & Artificial Intelligence
Applied Machine Learning Engineering
Pattern Recognition
Probability & Random Variables
Elective courses for Option 4 (choose at least one):
Cell & Tissue Image Analysis
Multimedia Forensics and Security
Bioinformatics
Statistical Analysis of Genomics
Optional Coop Experience *0-1
Career Management and Professional Development for Master's Degree Students
OPTIONAL CONCENTRATION - Not eligible for Federal Financial Aid0.0-20.0
Total Credits45.0-68.0
*

Co-op is an option for this degree for full-time on-campus students. To prepare for the 6-month co-op experience, students will complete: COOP 500. The total credits required for this degree with the co-op experience is 46.0

Students not participating in the co-op experience will need 45.0 credits to graduate.

Biomedical Technology Development Concentration (Optional) - Not eligible for Federal Financial Aid

Students enrolled in this concentration will develop an understanding of critical regulatory, economic, and legal issues in addition to the project management skills that facilitate the development of new medical devices and positive working relationships with intellectual property lawyers, insurance companies, and the federal government.

BMES 509Entrepreneurship for Biomedical Engineering and Science3.0
BMES 534Design Thinking for Biomedical Engineers3.0
BMES 538Biomedical Ethics and Law3.0
BMES 588Medical Device Development3.0
BMES 596Clinical Practicum3.0
Total Credits15.0

Biomaterials and Tissue Engineering Concentration (Optional) - Not eligible for Federal Financial Aid

This concentration is designed to provide students with advanced training in cellular and molecular biology relevant to tissue engineering and behavior of materials used in biomedical applications.

BMES 631Tissue Engineering I4.0
BMES 632Tissue Engineering II4.0
BMES 660Biomaterials I0.0,4.0
BMES 661Biomaterials II0.0,4.0
BMES 675Biomaterials and Tissue Engineering III0.0,4.0
Total Credits8.0-20.0

Pediatric Engineering Concentration (Optional) - Not eligible for Federal Financial Aid

This concentration aims to train students: 1) to develop a fundamental understanding of childhood injury and disease, healthcare, and treatment, and 2) to apply scientific and engineering concepts, methods, and approaches to address healthcare challenges with direct relevance to pediatric patients.  

BMES 528Pediatric Engineering I3.0
BMES 529Pediatric Engineering II3.0
BMES 538Biomedical Ethics and Law3.0
BMES 509Entrepreneurship for Biomedical Engineering and Science3.0
Total Credits12.0

Neuroengineering Concentration (Optional) - Not eligible for Federal Financial Aid

This concentration aims to train students 1) to develop a fundamental understanding of neural systems from cellular, to whole brain level, and 2) operational principles of neurotechnologies that can interface with nervous systems, 3) to apply scientific and engineering concepts to repair nervous system for clinical applications or enhance its functional performance.

BMES 710Neural Signals3.0
BMES 711Principles in Neuroengineering3.0
BMES 715Systems Neuroscience and Applications I3.0
BMES 718Brain Computer Interfaces3.0
BMES 725Neural Networks3.0
Total Credits15.0

Sample Plan of Study

Elective track 1 (All quarter courses):

Plan of Study Grid
First Year
FallCredits
BMES 546
Biocomputational Languages
or Advanced Biocomputational Languages
4.0
BMES 710 Neural Signals 3.0
COOP 500 Career Management and Professional Development for Master's Degree Students 1.0
CS Elective 3.0
 Credits11
Winter
BMES 544 Genome Information Engineering 4.0
BMES 547 Machine Learning in Biomedical Applications 3.0
BMES 711 Principles in Neuroengineering 3.0
 Credits10
Spring
BMES 543 Quantitative Systems Biology 4.0
BMES 678 Biocomputational Modeling and Simulation 3.0
BMES 725 Neural Networks 3.0
 Credits10
Summer
BMES 604 Pharmacogenomics 3.0
CS Elective 3.0
 Credits6
Second Year
Fall
COOP EXPERIENCE  
 Credits0
Winter
COOP EXPERIENCE  
 Credits0
Spring
BMES 611 Biological Control Systems 3.0
BMES 715 Systems Neuroscience and Applications I 3.0
CS Elective 3.0
 Credits9
 Total Credits46

Elective Track 2 (with semester courses) 

First year, Quarter courses 

Plan of Study Grid
First Year
FallCredits
BMES 546
Biocomputational Languages
or Advanced Biocomputational Languages
4.0
BMES 718 Brain Computer Interfaces 3.0
 Credits7
Winter
BMES 544 Genome Information Engineering 4.0
BMES 547 Machine Learning in Biomedical Applications 3.0
BMES 548 Structural Bioinformatics and Drug Design 3.0
 Credits10
Spring
BMES 549 Genomic and Sequencing Technologies 3.0
BMES 685 Experimental Methods in Neuroengineering 2.0
BMES 604 Pharmacogenomics 3.0
 Credits8
Summer
Complete Quarter; Enroll as Semester  
 Credits0
 Total Credits25

With Coop and Neuro

Plan of Study Grid
First Year
FallCredits
BMES 546
Biocomputational Languages
or Advanced Biocomputational Languages
4.0
BMES 710 Neural Signals 3.0
COOP 500 Career Management and Professional Development for Master's Degree Students 1.0
CS Elective 3.0
 Credits11
Winter
BMES 544 Genome Information Engineering 4.0
BMES 547 Machine Learning in Biomedical Applications 3.0
BMES 711 Principles in Neuroengineering 3.0
 Credits10
Spring
BMES 543 Quantitative Systems Biology 4.0
BMES 678 Biocomputational Modeling and Simulation 3.0
BMES 725 Neural Networks 3.0
 Credits10
Summer
BMES 604 Pharmacogenomics 3.0
CS Elective 3.0
 Credits6
Second Year
Fall
COOP EXPERIENCE  
 Credits0
Winter
COOP EXPERIENCE  
 Credits0
Spring
BMES 611 Biological Control Systems 3.0
BMES 715 Systems Neuroscience and Applications I 3.0
CS Elective 3.0
 Credits9
 Total Credits46

Biomedical Engineering, Science and Health Systems Faculty

Fred D. Allen, PhD (University of Pennsylvania) Associate Director, Undergraduate Education. Assistant Professor. Tissue engineering, cell engineering, orthopedics, bone remodeling, wound healing, mechanotransduction, signal transduction, adhesion, migration.
Hasan Ayaz, PhD (Drexel University) School of Biomedical Engineering, Science and Health Systems. Research Associate Professor. Optical brain imaging, cognitive neuroengineering, brain computer interface (BCI), functional ner infrared (fNIR), and near infrared spectroscopy (NIRS).
Sriram Balasubramanian, PhD (Wayne State University). Assistant Professor. Structural characteristics of the pediatric thoracic cage using CT scans and developing an age-equivalent animal model for pediatric long bones.
Kenneth A. Barbee, PhD (University of Pennsylvania). Professor. Cellular biomechanics of neural and vascular injury, mechanotransduction in the cardiovascular system, mechanical control of growth and development for wound healing and tissue engineering.
Donald Buerk, PhD (Northwestern University). Research Professor. Biotechnology, physiology, systems biology, blood flow, microcirculation, nitric oxide, oxygen transport
Jamie Dougherty, PhD (Drexel University). Assistant Teaching Professor. Brain-computer interface, neural encoding, electrophysiological signal acquisition and processing.
Lin Han, PhD (Massachusetts Institute of Technology). Assistant Professor. Nanoscale structure-property relationships of biological materials, genetic and molecular origins soft joint tissue diseases, biomaterials under extreme conditions, coupling between stimulus-responsiveness and geometry.
Uri Hershberg, PhD (Hebrew University of Jerusalem, Israel). Assistant Professor. Bioinformatics, immunology, neural computation, system biology, somatic selection, autoimmunity, genetic stability, germline diversity, dendritic cell, transcription elements, pathogens, computational and mathematical modeling, complex systems, cognition and inflammation.
Kurtulus Izzetoglu, PhD (Drexel University) Associate Research Professor. Cognitive neuroengineering, functional brain imaging, near infrared spectroscopy, medical sensor development, biomedical signal processing, human performance assessment, and cognitive aging
Meltem Izzetoglu, PhD (Drexel University). Associate Research Professor. Cognitive neuroengineering, biomedical signal processing, statistical signal analysis, optimal artifact removal, information processing, optical brain imaging, functional near infrared spectroscopy, working memory, attention, learning, reading and mathematical disabilities, cognitive aging, anesthesia awareness, and social anxiety disorders.
Dov Jaron, PhD (University of Pennsylvania) Calhoun Distinguished Professor of Engineering in Medicine. Professor. Mathematical, computer and electromechanical simulations of the cardiovascular system.
Andres Kriete, PhD (University in Bremen Germany) Associate Director for Graduate Studies and Academic Operations. Systems biology, bioimaging, control theory, biology of aging, skin cancer.
Steven Kurtz, PhD (Cornell University). Associate Research Professor. Computational biomechanics of bone-implant systems and impact-related injuries, orthopaedic biomechanics, contact mechanics, orthopaedic biomaterials, large-deformation mechanical behavior and wear of polymers, and degradation and crosslinking of polyolefins in implant applications.
Ryszard Lec, PhD (University of Warsaw Engineering College). Professor. Biomedical applications of visoelastic, acoustoptic and ultrasonic properties of liquid and solid media.
Peter Lewin, PhD (University of Denmark, Copenhagen-Lyngby) Richard B. Beard Professor, School Of Biomedical Engineering, Science & Health Systems. Professor. Biomedical ultrasonics, piezoelectric and polymer transducers and hydrophones; shock wave sensors.
Hualou Liang, PhD (Chinese Academy of Sciences). Professor. Neuroengineering, neuroinformatics, cognitive and computational neuroscience, neural data analysis and computational modeling, biomedical signal processing.
Donald L. McEachron, PhD (University of California at San Diego) Coordinator, Academic Assessment and Improvement. Teaching Professor. Animal behavior, autoradiography, biological rhythms, cerebral metabolism, evolutionary theory, image processing, neuroendocrinology.
Karen Moxon, PhD (University of Colorado) Associate Director for Research. Professor. Cortico-thalamic interactions; neurobiological perspectives on design of humanoid robots.
Michael Neidrauer, PhD (Drexel University). Assistant Research Professor. Wound healing, near infrared, spectroscopy, cell culture, data analysis, optical coherence tomography (OCT), matlab, life sciences assay development, confocal microscopy, biomaterials, in-vivo, medical devices
Banu Onaral, PhD (University of Pennsylvania) H.H. Sun Professor; Senior Advisor to the President, Global Partnerships. Professor. Biomedical signal processing; complexity and scaling in biomedical signals and systems.
Kambiz Pourrezaei, PhD (Rensselaer Polytechnic University). Professor. Thin film technology; nanotechnology; near infrared imaging; power electronics.
Ahmet Sacan, PhD (Middle East Technical University). Assistant Professor. Indexing and data mining in biological databases; protein sequence and structure; similarity search; protein structure modeling; protein-protein interaction; automated cell tracking.
Joseph J. Sarver, PhD (Drexel University). Associate Professor. Neuromuscular adaptation to changes in the myo-mechanical environment.
Rahamim Seliktar, PhD (University of Strathclyde, Glasgow) Vice Director, School of Biomedical Engineering, Science & Health Systems. Professor. Limb prostheses, biomechanics of human motion, orthopedic biomechanics.
Patricia A. Shewokis, PhD (University of Georgia). Professor. Roles of cognition and motor function during motor skill learning; role of information feedback frequency on the memory of motor skills, noninvasive neural imaging techniques of functional near infrared spectroscopy(fNIR) and electroencephalograpy (EEG) and methodology and research design.
Adrian C. Shieh, PhD (Rice University). Assistant Professor. Contribution of mechanical forces to tumor invasion and metastasis, with a particular emphasis on how biomechanical signals may drive the invasive switch, and how the biomechanical microenvironment interacts with cytokine signaling and the extracellular matrix to influence tumor and stromal cell behavior.
Wan Y. Shih, PhD (Ohio State University). Associate Professor. Piezoelectric microcantilever biosensors development, piezoelectric finger development, quantum dots development, tissue elasticity imaging, piezoelectric microcantilever force probes.
Kara Spiller, PhD (Drexel University). Assistant Professor. Macrophage-biometerial interactions, drug delivery systems, and chronic would healing. Cell-biomaterial interactions, biomaterial design, and international engineering education.
Marek Swoboda, PhD (Drexel University). Assistant Teaching Professor. Cardiovascular engineering, cardiovascular system, diagnostic devices in cardiology, piezoelectric biosensors, and pathogen detection.
Amy Throckmorton, PhD (University of Virginia). Associate Professor. Computational and experimental fluid dynamics; cardiovascular modeling, including transient, fluid-structure interaction, and patient-specific anatomical studies; bench-to-bedside development of medical devices; artificial organs research; prediction and quantification of blood trauma and thrombosis in medical devices; design of therapeutic alternatives for patients with dysfunctional single ventricle physiology; human factors engineering of mechanical circulatory assist devices
Margaret Wheatley, PhD (University of Toronto) John M. Reid Professor. Ultrasound contrast agent development (tumor targeting and triggered drug delivery), controlled release technology (bioactive compounds), microencapsulated allografts (<em>ex vivo </em> gene therapy) for spinal cord repair.
Ming Xiao, PhD (Baylor University). Associate Professor. Nanotechnology, single molecule detection, single molecule fluorescent imaging, genomics, genetics, genome mapping, DNA sequencing, DNA biochemistry, and biophysics.
Yinghui Zhong, PhD (Georgia Institute of Technology). Assistant Professor. Spinal cord repair, and engineering neural prosthesis/brain interface using biomaterials, drug delivery, and stem cell therapy.
Leonid Zubkov, PhD, DSc (St. Petersburg State University, Russia). Research Professor. Physiology, wound healing, physiologic neovascularization, near-infrared spectroscopy, optical tomography, histological techniques, computer-assisted diagnosis, infrared spectrophotometry, physiologic monitoring, experimental diabetes mellitus, penetrating wounds, diabetes complications, skin, animal models, radiation scattering, failure analysis
Catherin von Reyn, PhD (University of Pennsylvania). Assistant Professor. Cell type-specific genetic engineering, whole-cell patch clamp in behaving animals, modeling, and detailed behavioral analysis to identify and characterize sensorimotor circuits.

Emeritus Faculty

Hun H. Sun, PhD (Cornell University). Professor Emeritus. Biological control systems, physiological modeling, systems analysis.