Artificial Intelligence in Medicine (CERT)
This program was approved for students entering the university in the Summer 2020–Spring 2021 catalog year. For more information about catalog year, go to Catalog Year Information.
This program can be completed in a traditional classroom format or entirely online.
The graduate certificate in Artificial Intelligence in Medicine offers students training in the application of computational methods and machine learning techniques to the analysis of medical problems. The focus of the program is an emphasis on the mastery of skills required to analyze medical data related to patients, which include big data, medical imaging, physiological and disease progression modeling, experimental (clinical and laboratory), and healthcare information. This program will benefit healthcare through the use of modern computational techniques to manage and investigate the ever-increasing volume of patient data and the wide variety of diseases. Students will acquire skills and knowledge in computation, modeling and simulation, machine learning, medical data management, and advanced statistical analysis, with an emphasis on interdisciplinary collaboration.
The courses available for this program may include assignments and projects in collaboration with researchers at the School of Medicine. In particular, Bioengineering faculty have established collaborations with the Cardiovascular Innovation Institute, the Kentucky Spinal Cord Injury Research Center, the Brown Cancer Center, the Center for Predictive Medicine, and the Departments of Oncology and Radiology.
|Minimum Total Hours||15|
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(s) for all previous post-secondary coursework. 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 or IELTS 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 or an overall IELTS score of 6.5 or higher.
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.
Additionally, all program requirements for this certificate must be completed within three years from admission into the program.
|Bioengineering Coursework - Choose 9 credit hours from the list below:||9|
|Special Topics in Bioengineering 1|
|LabVIEW for Bioengineers|
|Machine Learning in Python|
|Machine Learning in Medicine|
|Medical Image Computing|
|Computational Methods for Medical Image Analysis|
|Modeling of Biological Phenomena|
|Choose 6 credit hours from the list below:||6|
|NOTE: Only one of either CSE 632 or PHMS 641 can count towards certificate|
|Special Topics in Computer Science and Engineering 2|
|Medical Imaging Systems|
|Introduction to Bioinformatics|
|Special Topics in Computer Science and Engineering 3|
|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|
BE 500 Special Topics: Computer Tools for Medical Image Analysis
CSE 590 Special Topics: Big Data Analytics Tools & Tec/Introduction to Machine Learning/Introduction to Deep Learning/Python & Data Analytics
CSE 694 Special Topics: Current topics in Bioinformatics/Topics in Advanced Machine Learning Theory & Methods