Sequential Undergraduate-Graduate Studies (SUGS) Program
Current University of Michigan undergraduate students in the following departments are eligible for SUGS:
- Biomedical Engineering
- Cellular and Molecular Biomedical Science (CMBS)
- Chemical Engineering
- Electrical Engineering and Computer Science
- Industrial and Operations Engineering
- Materials Science and Engineering
- Mechanical Engineering
- Nuclear Engineering & Radiological Sciences
- Robotics
Application Requirements:
- Senior Standing (85+ hours)
- Students may not begin SUGS if they need more than one course (no more than 4 credit hours) to complete the BSE
- GPA of 3.2 or above
- Biology 172 or 174 or AP biology credit for Biology 195
- One Advanced Biology course* (ex, microbiology, immunology, genetics, or biochemistry) *For students in Biomedical Engineering, BME 221, 418, or 419 will fulfill this requirement.
**Students in non-BME majors who are missing the above Biology requirements will be required to take BME 418 or BME 419 to complete this requirement.
The GRE is not required and will not be accepted with the application.
The Test of English as a Foreign Language (TOEFL) is waived for students who have already taken it.
SUGS Application Deadlines: Rolling admissions till January 15th for the next academic year
SUGS program applicants need to provide:
- Personal Statement
- Academic Statement of Purpose
- CV/Resume
- Name and email address for two faculty members who will write letters of recommendation (a third letter is optional)
- Unofficial University of Michigan transcript
SUGS students can take advantage of double-counting or transferring courses, but will be subject to the following requirements:
- Full-time enrollment (nine credits) is required for two semesters. Graduate study must begin the semester immediately after undergraduate completion.
- Up to six graduate-level credits can be double-counted. These courses must belong to one of the three course categories in this program: AI/ML Fundamentals, Domain Intersections, or Knowledge Extensions. Courses that are not part of these categories will not be allowed to be double-counted.
- Up to nine additional graduate-level credits may be transferred if they were not counted toward another degree, minor, or certificate. Such courses must also belong to one of the three course categories in this program: AI/ML Fundamentals, Domain Intersections, or Knowledge Extensions. Courses that are not part of these categories will not be allowed to be transferred.
Curriculum
The MEng program requires 12 course credits in AI/ML foundations, 12 credits in domain intersection in biomedicine (typically courses in BME), and 6 credits for Knowledge Extensions.
The Graduate Certificate Program requires 6 credits in AI/ML Fundamentals Core Courses and 6 credit hours of Domain Intersection Courses. Individualized plans of study will be developed by students in consultation with an advisor. Refer to the Engineering Course Guide and Bulletin for course descriptions. Students in the BME concentration for both the certificate and MEng programs are required to take at least two BME courses in the list below:
Sample BME concentration coursework includes:
- BIOMEDE 487: Artificial Intelligence in Biomedical Engineering
- BIOMEDE 503: Statistical Methods for Biomedical Engineering
- BIOMEDE 517: Sensing and Machine Learning for Neural Interfaces
- BIOMEDE 599: Deep Learning for Signal and Image Processing
- BIOMEDE 599.017: AI for Experiment Design (residential format only)
- EECS 598: Artificial Intelligence in Biomedicine
Students may also take foundational AI and machine learning courses outside the
BME department in areas such as matrix methods, optimization, reinforcement learning, and machine learning. The MEng program requires 12 credits in AI/ML
foundations. Recommended foundational courses include:
- EECS 545: Machine Learning
- CSE 592: Foundations of Artificial Intelligence
- EECS 551: Matrix methods in SIPML
- EECS 505: Computational Data Science & ML
- ECE 553: Machine Learning
- EECS 453: Principles of Machine Learning
- ECE 559: Optimization methods in SP and ML
Course Guide and Bulletin, Course List/Degree Requirements (Coming Soon)
All the courses listed above, except BIOMEDE 599.017, are available in both residential and online formats.
Looking for more information?
Michigan Engineering Online Program Announcement
Experiential Learning – Michigan Engineering Immersed
Engineering Career Resource Center
Careers
From large scale production and management to microscopic research
Biomedical Engineering Master’s Employment Information sheet from Engineering Career Resource Center
Michigan Engineering
Ph.D. Degrees
As a Michigan Engineering Ph.D. student, you’ll have the opportunity to build a one-of-a-kind educational experience centered around your research interests.
Biomedical Engineering
Master’s Degrees
The Michigan BME master’s program provides the opportunity to specialize in one of six areas that reflect the cutting edge in biomedical engineering.