The online graduate certificate in Artificial Intelligence in Medicine is designed to prepare current and future medical professionals and engineers to master the analysis of biomedical data through advanced technologies.
Enhance your ability to effectively analyze medical problems and interpret complex data with UofL’s online Artificial Intelligence in Medicine Certificate.
The volume of biomedical and patient data is continuously increasing, the variety of diseases is broader than ever and standard methods of assessment are becoming insufficient. Through completion of this online certificate, you can acquire expertise in key areas of artificial intelligence—including computation, modeling and simulation, machine learning, big data and advanced statistical analysis—and their direct application to medical data management, medical imaging, disease progression modeling, experimental (clinical and laboratory) data and healthcare information. This highly-specialized expertise allows you to effectively analyze biomedical data, improve patient care and advance your career.
This program is offered by the J.B. Speed School of Engineering at the University of Louisville, through the Bioengineering (BE) department, in conjunction with the Computer Science Engineering (CSE) department and the School of Public Health & Information Sciences.
This certificate does not qualify for financial aid. Students only enrolled in the non-degree certificate programs are not eligible to receive federal aid. Tuition rate does not include costs associated with a specific course or program, such as textbooks. Other fees apply.
No matter where you are in the world, advance your career with AI expertise from UofL.Learn More
The certificate program is made up of only 5 courses (15 credit hours). You can elect to take 1-3 courses at a time.Learn More
Complete the program in as little as 2 semesters.Learn More
"Biomedical data are now available in an overwhelming volume, and the potential benefits gained by using advanced technologies to manage and analyze these data are exponential. The primary goal of UofL’s AI in Medicine certificate is to prepare medical professionals and engineers to effectively use these technologies, and to improve patient care as a result."
In the past decade, advancements in computing technology have converged with an exploding volume of biomedical data —calling for specialized experts who can turn this information into actionable plans for patient care. For example, the transition to collecting patient information from electronic medical records and the expansion of personal health data from connected medical devices (e.g., wearable monitors) require highly-specialized integration and analysis.
Students and graduates of the AI in Medicine online certificate program are prepared to lead this charge and successfully:
Graduates will have the required skills to seek employment for positions designing and managing the automated analysis of biomedical data with healthcare, insurance, pharmaceutical and laboratory employers.
|Preferred Application Deadline||Term||Start|
Note: We admit students on a rolling basis. The preferred deadlines help you complete the application process on time, be notified of acceptance and enroll before the term begins. We review applications as they become complete, and admit students for a specific term up to the day classes start. We recommend you work on and submit your complete application well in advance of the preferred deadline, as obtaining transcripts and other materials may take more time.
For more information on the admission and application process, please contact our Online Learning Enrollment Counselor at 800.871.8635 or by email at email@example.com.
GMAT/GRE scores are not required for admission.
Send all materials to:
University of Louisville
2211 S. Brook Street
Louisville, KY 40292
Due to this certificate consisting of a heavily engineering-focused curriculum, some students may need to take prerequisite courses in order to meet enrollment requirements, depending on previous education and/or work background. You will work closely with an advisor upon acceptance to the program to build out a path that prepares you to be successful in the program. Students lacking prerequisite courses may choose to take them at UofL or another institution before they are officially admitted to the program.
* See the UofL Transfer Credit Policy for more information.
** You may be admitted provisionally with a 2.75 GPA, but will need to maintain a 3.0 for the courses taken to satisfy the 15-credit certificate requirement.
The online Artificial Intelligence in Medicine Certificate consists of 5 courses (totaling 15 graduate credit hours), typically delivered over 15-week terms. You can choose from the following courses, with a minimum of 3 Bioengineering (BE) courses. The certificate can be completed 100% online, with additional course options (listed below) also available on-campus.
Most courses are offered each semester. Depending on your education and/or work background, some courses may have prerequisites that must be met prior to enrollment. We recommend working with your enrollment and faculty advisors to map out your degree path and ensure that your chosen courses can be completed in the timeframe that is right for you.
|Online Certificate Course Options||Hours|
|BE 524 LabVIEW for Bioengineers||3|
|BE 530* Machine Learning in Medicine Using Python||3|
|BE 540** Machine Learning in Medicine||3|
|BE 542 Medical Image Computing||3|
|BE 543 Computer Tools for Medical Image Analysis||3|
|BE 544 Artificial Intelligence Techniques in Digital Pathology||3|
|BE 640 Medical Image Analysis||3|
|BE 645 Artificial Intelligence in Radiomics||3|
|CSE 532* Python and Data Analytics||3|
|CSE 545* Artificial Intelligence||3|
|CSE 546** Intro to Machine Learning||3|
|CSE 547 Intro to Deep Learning Algorithm and Methods||3|
|CSE 590 Big Data Analytics Tools & Tec||3|
|PHST 620 Introduction to Statistical Computing||3|
|PHMS 641 Data Mining I||3|
|PHMS 642 Data Mining II||3|
|Total Credit Hours||15|
Note: Some courses may include assignments and projects in collaboration with researchers at the School of Medicine. Online students are expected to participate in these collaborations via teleconferencing and sharing of data and results. You are also welcome to come to campus, if it this is a feasible option.
* Only one of either BE 530 or CSE 532 can count towards the certificate.
** Only one of either BE 540 or CSE 546 can count towards the certificate.
Courses Note: Only one of either CSE 632 or PHMS 641 can count toward the certificate.