Artificial Intelligence in Medicine (CERT)
The admission standards for the Graduate Certificate program in Artificial Intelligence in Medicine are as follows:
- All admission applications for the Graduate Certificate program shall include:
- A completed graduate application for the Graduate School
- Application fee
- Official transcript certifying at least a bachelor's degree. All transcripts not in English must be certified as authentic and translated verbatim into English.
- The minimum requirement for admission is the baccalaureate degree or its equivalent from an accredited institution, or current enrollment in a graduate Speed School program, and completion of BE 340 (Computational Methodologies in Bioengineering) or its equivalent.
- The successful applicant will typically have an undergraduate grade point average of 3.0 or above (on a 4.00 scale) in their engineering courses.
- The minimum math pre-requisite course required is ENGR 205 (Differential Equations for Engineering) or its equivalent.
- International students whose primary language is not English must show English language proficiency. Applicants must either submit an official TOEFL, IELTS or Duolingo score, or demonstrate a degree award from an acceptable English language institution. The successful applicant will typically have a total TOEFL score of 80 or higher, an overall IELTS score of 6.5 or higher or Duolingo score of 105.
Students can enroll in a Graduate Certificate program either as a non-degree seeking student or as a student simultaneously enrolled in a graduate degree program and this graduate certificate program. Students who wish to earn a graduate degree must meet all admission criteria for the degree program.
All students enrolled in a graduate certificate program are expected to make steady and satisfactory progress toward the completion of the certificate. Students who are not enrolled for a period of more than 12 months will be considered to have withdrawn from the certificate program. Students who seek to return after such a period of time must contact the graduate program director.
The following certificate requirements are mandatory of all Graduate Certificate candidates:
- The Certificate Program of Study must be completed with a 3.0 GPA or better for all graduate courses used to satisfy certificate requirements.
- Graduate certificate students must take all certificate course work at the University of Louisville. No transfer credits will be accepted towards a graduate certificate.
The Bioengineering Department has established the following grade policy for the Artificial Intelligence in Medicine Graduate Certificate program:
- A student cannot receive a C+ or lower grade in courses counting towards the certificate.
Additionally, all program requirements for this certificate must be completed within three years from admission into the program.
Program Requirements
Code | Title | Hours |
---|---|---|
Choose 15 credit hours from the list below (9 credit hours must be from BE courses): | 15 | |
LabVIEW for Bioengineers | ||
Machine Learning in Python | ||
Machine Learning in Medicine | ||
Medical Image Computing | ||
Computer Tools for Medical Image Analysis | ||
Artificial Intelligence Techniques in Digital Pathology | ||
Computational Methods for Medical Image Analysis | ||
Artificial Intelligence and Radiomics | ||
Modeling of Biological Phenomena | ||
Python and Data Analytics | ||
Artificial Intelligence | ||
Introduction to Machine Learning | ||
Deep Learning Algorithms and Methods | ||
Special Topics in Computer Science and Engineering (Big Data Analytics Tools & Tech) | ||
Data Mining | ||
NOTE: Only one of either CSE 632 or PHMS 641 can count towards certificate | ||
Medical Imaging Systems | ||
Introduction to Bioinformatics | ||
Special Topics in Computer Science and Engineering 1 | ||
Introduction to Statistical Computing | ||
Basic Statistical Methods for Bioinformatics | ||
Biostatistical Methods II | ||
Advanced Statistical Computing I | ||
Data Mining I | ||
Data Mining II | ||
Minimum Total Hours | 15 |
- 1
CSE 694 Special Topics options:
- Current topics in Bioinformatics
- Topics in Advanced Machine Learning Theory & Methods