Biomedical Engineering

The Biomedical Engineering curriculum provides both breadth and depth across the range of engineering domains such as mechanical, electrical, computer or software engineering. The program prepares graduates to have an understanding of biology and physiology, as well as the capability to apply advanced mathematics, science and engineering to solve the problems at the interface of engineering and biology. The Biomedical Engineering curriculum prepares graduates with the ability to make measurements on and interpret data from living systems and to address the problems associated with the interaction between living and non-living materials and systems. The bioengineering curriculum blends theoretical knowledge with hands-on experiential learning that culminates with a year-long, interdisciplinary team-based capstone design project.

The Program Educational Objectives are broad statements that describe what alumni do within a few years following graduation. The Biomedical Engineering program is committed to graduating engineers who within a few years of their graduation are expected to:

  1. Utilize their interdisciplinary training to have successful careers in industry, research and development and in regulatory agencies, academia, or clinical work.
  2. Demonstrate the organizational, leadership, and communication skills to achieve success in their chosen careers.
  3. Employ critical thinking and problem solving skills to support interdisciplinary teams that may include physicians, molecular biologists, physiologists, and other engineers.
  4. Utilize life-long learning skills and the ethical tools for successful adaptation to the rapidly changing field of Biomedical Engineering.
  5. Build upon their sound training in mathematics, biological sciences, the liberal arts and engineering to facilitate successful pursuit of advanced degrees in medicine, law, business, engineering, or related fields.

For the first year of study, all our engineering programs place major emphasis on the fundamentals of engineering and computer science, mathematics, and the basic sciences to provide the background for later engineering science and design courses. Following preparatory work, the fundamentals of electrical, computer, mechanical, and materials engineering concepts are developed. Advanced courses in Biomedical Engineering further develop knowledge in the discipline. The Biomedical Engineering curriculum program places much emphasis on design assignments. Students may specialize in a specific area of Biomedical Engineering by taking elective courses. Also, students on a pre-medicine track can prepare for medical school entrance by taking their elective courses in psychology, sociology, organic chemistry, biology, and biochemistry.

Students will build skills and knowledge through formal course work, projects, and presentations. Biomedical Engineering program graduates will have attained the following student outcomes:

  1. An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics.
  2. An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors.
  3. An ability to communicate effectively with a range of audiences.
  4. An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts.
  5. An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives.
  6. An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions.
  7. An ability to acquire and apply new knowledge as needed, using appropriate learning strategies.

Biomedical Engineering Program Study Abroad

Studying abroad can be a life-changing experience and we highly recommend students explore the many options that are available to them. The Biomedical Engineering department in the School of Engineering has partnered with the National University of Ireland, Galway (NUI Galway) to allow students the opportunity to spend the fall semester of their junior year in Galway. NUI Galway ranks among the top of Universities in the world. In addition to the many benefits that come from studying abroad, successful Biomedical Engineering students who spend their fall semester of junior year in Galway have the opportunity to enter into the one-year Master’s Degree program at NUIG after they complete their undergraduate degree at Fairfield University. To be admitted to the NUIG Bioengineering Master’s program, students must have between a 3.2 and 3.7 GPA upon graduating from Fairfield University.

Five-Year Integrated BS in Biomedical Engineering and Master of Science in Data Science with Bioinformatics Concentration

The five-year graduate program MS in Data Science with Bioinformatics concentration is available to undergraduate students in Biomedical Engineering. The Bioinformatics concentration is one of the concentrations offered as part of the interdisciplinary M.S. in Data Science program. The coursework for the M.S. in Data Science consists of 30 graduate coursework credits of which 6 credits (two courses) can be earned during the student’s undergraduate program by declaring to opt for this program during junior year. The two graduate courses to be taken during the BS program are Biomedical Imaging and Biomedical Visualization. The MS in Data Science program includes a core set of four courses (12 credits), two electives (6 credits), a Capstone Practicum course sequence (6 credits), and two Concentration courses (6 credits). The core set of courses provides essential computing and math skills for any data science student. These courses are offered by Department of Computer Science and Engineering and by the Department of Mathematics. The Concentration courses provide deep knowledge in at least one data domain.

BIEG 3201 Biomechanics    3 Credits

Prerequisites: MATH 1141, PHYS 1171.

This course covers solid mechanics of bone with a focus on stress, strain, stiffness, and strength. Joint forces and muscle attachments will be analyzed using free-body diagrams. Introductory musculoskeletal physiology will be covered and Biopac Student Lab software will be used for gait and muscle force analysis. Previously BEN 0201.

BIEG 3301 Biomedical Instrumentation    4 Credits

Attributes: HSST Health Studies: Science and Technology

Fee: $100 Engineering Lab Fee

Prerequisites: CPEG 2245, ELEG 2213.

This course presents instrumentation and techniques used in acquisition, processing, and presentation of biomedical signals: transducers, sensors, biosensors, and measurement of physical parameters and electrophysiological signals. Physiology relevant for instrumentation labs will be covered. Previously BEN 0300.

BIEG 3331 Biomedical Signal Processing    3 Credits

Prerequisites: CPSC 1131 or SWEG 5407; MATH 1142.

This course presents an overview of different methods used in biomedical signal processing. Signals with bioelectric origin are given special attention and their properties and clinical significance are reviewed. In many cases, the methods used for processing and analyzing biomedical signals are derived from a modeling perspective based on statistical signal descriptions. The purpose of the signal processing methods ranges from reduction of noise and artifacts to extraction of clinically significant features. The course gives each participant the opportunity to study the performance of a method on real, biomedical signals. Graduate equivalent: ECEG 5331. Previously BEN 0331.

BIEG 4309 Biosensors    3 Credits

Prerequisites: CHEM 1171, ELEG 2213.

This course will provide an overview of biosensors, including their use in pharmaceutical research, diagnostic testing, and policing the environment. Topics include the fabrication, characterization, testing, and simulation of biosensors. The phenomenon of transducers, biosensor structure, sensor performance, and simulations utilizing molecular simulation software will also be covered.

BIEG 4311 Biomaterials    3 Credits

Prerequisites: BIOL 1107 or BIOL 1108 or BIOL 1171 or BIOL 1172 or BIOL 1173; CHEM 1171.

This course will cover the introductory level of understanding on the different types of biomaterials used in biomedical industry, their design and synthesis. Examples include implants, stents, catheters, smart polymer gels, bone grafts, and tissue scaffolds. Modern biology in biomedical engineering such as but not limited to protein adsorption, immuno-isolation, and regenerative medicine will be covered. Ethical issues in biomedical engineering will also be discussed. Current innovative research on nano-biotechnology that extends to 3D bio-matrix, advanced diagnostics, dental composites, sealants, and adhesives. Graduate equivalent: ECEG 5311.

BIEG 4314 Introduction to Molecular Modeling    3 Credits

Prerequisites: CHEM 1171, PHYS 1171.

This course will cover methodological and practical aspects of the application of system analysis and computational tools to biological and biomedical problems. It will cover computational modeling of biological macromolecules such as proteins, DNA, and synthetic self-assembling materials such as polymers, crystals, colloids, and amphiphiles. The course provides the resources to use Visual Molecular Dynamics (VMD) and Nanoscale Molecular Dynamics (NAMD) to solve computational problems related to protein interactions in case of diseases and protein folding. Graduate equivalent: ECEG 5314.

BIEG 4332 Biomedical Imaging    3 Credits

Attributes: HSST Health Studies: Science and Technology

Prerequisite: BIEG 3331 or CPEG 3331.

The fundamentals and applications of medical imaging techniques will be presented, including x-ray and computed tomography, nuclear imaging, ultrasound, and MRI. Image processing and analysis techniques will be introduced through suitable programming exercises. Graduate equivalent: ECEG 5332. Previously BEN 0332.

BIEG 4333 Biomedical Visualization    3 Credits

Prerequisite: CPSC 1131.

This course is an introduction to 3-D biomedical visualization. Various technologies are introduced, including ultrasound, MRI, CAT scans, PET scans, etc. Students will learn about spatial data structures, computational geometry and solid modeling with applications in 3-D molecular and anatomical modeling. Graduate equivalent: ECEG 5333. Previously BEN 0333.

BIEG 4350 Medical Device Design    3 Credits

Attributes: HSST Health Studies: Science and Technology

Prerequisite: Junior standing.

This project-based course focuses on important stages of the medical device product lifecycle including: identifying unmet clinical and global health needs, the FDA approval process, material selection, biocompatibility, ethical considerations, intellectual property, and post-market surveillance of similar products. Students will generate project ideas and design a medical device.



Associate Professors

Balaji, chair

Assistant Professor


Assistant Professors of the Practice


​Instructors of the Practice