30 credits total of coursework required:

• 30 total credit hours of graduate coursework (500 and 600 level)

BME Compentency Requirements:

• 6 credit hours of Biomedical Engineering (opens in a new tab)
• 3 credit hours of Quantitative / Analytical (opens in a new tab)
• 3 credit hours of Life Sciences (opens in a new tab)
• 12 credit hours of Regulatory Affairs and Professional Skills
• 6 credit hours of Graduate Electives for Specialization

Concentration Requirements (courses selected meet both the concentration and compentency requirements):

• Required: Two of the Following Three Courses (6 credits)
  • BME 51100--Biomedical Signal Processing
  • BME 53800--Wearable Sensors in Healthcare
  • BME 64600 (ECE 60146--Deep Learning--Theory and Practice of Deep Neural Networks
  • IE 52500--Healthcare Delivery Systems

• Choose: One Elective (3 credits) from the following
  • BME 51100--Biomedical Signal Processing
  • BME 53800--Wearable Sensors in Healthcare
  • BME 59500--Healthcare Data Science
  • BME 64600 (ECE 60146)--Deep Learning--Theory and Practice of Deep Neural Networks
  • BME 69500--Seminars in Digital Health Transfomation
  • CS 55600--Data Security and Privacy
  • CS 57100--Artificial Intelligence
  • CS 57300--Data Mining
  • CS 57800--Statistical Machine Learning
  • CS 58000--Algorithm Design, Analysis and Implementation
  • CS 59300--Machine Learning Theory
  • ECE 69500--Machine Learning for Bioinformatics and Healthcare
  • ECE 50024--Machine Learning
  • ECE 50836--Introduction to Data Mining
  • ECE 57000--Artificial Intelligence
  • ECE 69500--Optimization for Deep Learning
  • IE 52500--Healthcare Delivery Systems
  • IE 54900 – Machine Vision in Intelligent Robotic Systems
  • IE 55900 – Cognitive Engineering of Interactive Software
  • IE 59000 – Human Factors & Medical Devices
  • IE 59000 – Information Engineering
  • IE 59000 – Machine Learning and its Applications
  • IE 59000 – Human Factors of Gerontechnology
  • IE 65900 – Human Aspects in Computing
  • IE 69000 – Computational Epidemiology
  • IE 69000 – Sensing Approaches for Human Factors Research
  • IE 69000 – Applied Probability for Machine Learning
  • IE 69000 – Reinforcement Learning and Control
  • IE 69000 – Fundamentals of Reinforcement Learning

• 6-12 month internship for students in the Industry Immersion concentration
• Students must maintain a 3.0 GPA or higher
• No grade can be lower than a C
• View a list of courses that will not count toward requirements for this program (opens in a new tab)
   

Professional Development Scholarship for BME Professional Master's Students

BME has approved a scholarship for PMP students to pursue professional development opportunities that may enhance your professional skills training while here at Purdue. Please see below for the policy and process for applying for this opportunity

• One time award up to $500 that will be reimbursed to the student after documentation of expense and successful completion of activity is submitted
• Must fill out application and be pre-approved for the opportunity
• Only one scholarship will be awarded per student during the duration of your program
• Once approved, keep all receipts associated with event for your reimbursement
• Some examples of professional development opportunities: take a course outside of Purdue, register for a professional exam, attend a conference or industry trade event
• Incomplete applications, activities not related to professional development, or applications for opportunities that will happen after graduation from the program will not be considered
• You will use the following link to get pre-approved for your opportunity:  https://purdue.ca1.qualtrics.com/jfe/form/SV_9zrGQhoQAoOSjPM

• Professional MS POS Worksheet (PDF)
• 5th Year (Combined BS/MS) POS Worksheet (PDF)

Sample Plan of Study for Biomedical Device Development

Sample Plan of Study A for Biomedical Device Development with Industry Immersion