Duke Computational and Digital Health (CDH) Certificate Curriculum

Course Requirements

Two CDH Courses—To be able to bridge engineering, computational sciences, and biomedical applications.

  • BME 548L: Machine Learning and Imaging
  • BME 520L: Computational Foundations of Biomedical Simulation
  • BME 503 Computational Neuroengineering
  • BME 590: Generative AI in protein design
  • BME 590: AI in Biocomputation
  • ECE: 653 Human-Centered Computing
  • ECE 685D: Introduction to Deep Learning
  • ME 555: Engineering technology in biomedical applications
  • BME 590D: Deep Learning Applications in Healthcare
  • COMPSCI 671D: Theory and Algorithms for Machine Learning
  • BME Data Science 1
  • ECE 590: Wearable and Ubiquitous Computing

One non-engineering course—To further advance the technical knowledge in biological sciences, chemistry, and electrical applications.

  • CHEM 511: Chemistry of Biomolecular Interactions
  • CHEM 517: Molecules in Life and Disease
  • NEUROBIO 793: Research in Neurobiology
  • MEDPHY 505: Anatomy and Physiology for Medical Physicists
  • BIOCHEM 681 Biophysical Methods
  • EVANTH 530 Human Functional Anatomy
  • COMPSCI 671D: Theory and Algorithms for Machine Learning
  • MEDPHY507: Radiation Biology
  • CBB 574: Modeling and Engineering Gene Circuits
  • ECE 590: Wearable and Ubiquitous Computing

One Biostatistics course—To ensure that trainees are equipped to perform rigorous, reproducible analyses, a cornerstone of CDH research.

  • BME790: Biostatistics
  • BME733: Experimental Design and Biostatistics for Basic Biomedical Scientists
  • BIOSTAT 703: Introduction to the Practice of Biostatistics
  • BIOSTAT 707: Statistical Methods for Learning and Discovery
  • BIOSTAT 824: Case Studies in Biomedical Data Science

One Bioethics course—To equip trainees to navigate the ethical dimensions of digital health by applying core bioethical principles to real-world case studies, ensuring they can deploy transformative technologies responsibly and equitably. Complete 1 bioethics course from the following:

  • BME 590: Ethics in Biomedical Engineering
  • SCISOC 585: Digital Intelligence: The Ethics of Emerging Technologies
  • BIOETHIC 603: Clinical Bioethics & Health Policy
  • ME 555 Case Studies of Ethics in Robotics and Automation
  • SCISOC 614: Privacy, Ethics, Data and Tech
  • SCISOC 552S: Cybersecurity and Health Data Policy
  • COMPSCI 586: Human-Centered Security and Privacy

Other courses may be accepted at the discretion of the Certificate director. Please contact Certificate administration at comphealth-admin@duke.edu. for additional information.

Communities of the Practice Participation

Students must complete at least five Communities of Practice sessions over the course of their studies.