Students learn how to process imperfect biomedical measurements and extract information. Students learn fundamental principles of signal and image processing and machine learning. Prerequisites: Ability to program in MATLAB or Python. Knowledge of calculus, vectors and matrices

Students learn to motivate research, design experiments, analyze/display data, present results for their own research. Receive training in professional skills, including project leadership and management, best practices for collaborative research, and developing resilience. Prereq: BME 6001-6004, or permission by instructor

Students learn principles and techniques to computationally approach biomedical research and practice. Students obtain hands-on experience using computational thinking/strategy and build computational models to describe biomedical phenomena or analyze biomedical data. Prereq: BME 6001-6004 and ability in MATLAB or Python.

A project-based grounding in biomedical product design, with emphasis on clinical immersion and topics including design fundamentals, problem/needs identification, delineation of realistic constraints and product specifications, intellectual property, market analysis, entrepreneurship, specific advanced design topics, business plan development, venture funding, and medical product testing methods. Prerequisite: Instructor Permission

A professional development course for biomedical engineering graduate students.

For master's students.

Master's Research

Formal record of student commitment to doctoral research under the guidance of a faculty advisor. May be repeated as necessary.