This program was approved for students entering the university in the Summer 2024–Spring 2025 catalog year. For more information about catalog year, go to Catalog Year Information.
Master of Science in Artificial Intelligence in Medicine
Unit: Speed School of Engineering (GS);
Department: Bioengineering
Academic Plan Code(s): AIM_MIS_O
This program is completed entirely online.
The Master of Science in Artificial Intelligence in Medicine emphasizes the mastery of skills required to analyze medical data related to patients and public health, which include big data, medical imaging, biostatistics, experimental data (clinical and laboratory), and healthcare information. The academic goals of the master's program are mastery of methods for efficient and precise analysis of medical data and biostatistics.
Academic Performance
The J.B. Speed School of Engineering has established the following performance policies:
- The minimum grade point average requirement for good standing and satisfaction of degree requirements is 3.00 for all academic work completed while in graduate studies.
- Any student who does not satisfy the published performance criteria shall be placed in probationary status. Please review the Academic Standing Section within this catalog in regard to Academic Probation.
- Students who fail to meet performance goals or who do not meet other requirements as outlined in the admission letter, program requirements or the university catalog may be subject to academic dismissal from their programs. All degree requirements must be completed within six years from admission into the program.
Degree Requirements
The following degree requirements are mandatory of all Master of Science candidates:
- The program of study must be completed with a 3.00 GPA or better for all graduate courses used to satisfy degree requirements. Additionally, the program of study must be completed with a 3.00 GPA or better for all academic work attempted in graduate studies.
- Master's students must take at least 24 credit hours of coursework at the University of Louisville to satisfy the residency requirement for the master's degree. A maximum of six (6) credit hours of graduate credit may be transferred from accredited institutions.
- All program requirements must be completed within six years from admission into the program.
The requirements for the Master of Science degree are discussed in more detail in the Degree Requirements section of this catalog.
Admission Standards
The admission standards for the Master of Science program in Artificial Intelligence in Medicine are as follows:
- All admission applications for the program shall include:
- A completed application for admission for the Graduate School,
- An application fee,
- At least two letters of recommendation,
- Written statement describing previous experience related to Artificial Intelligence in Medicine and how the Master of Science in Artificial Intelligence in Medicine will allow the applicant to fulfill their career goals, and
- 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.
- The successful applicant will typically have an undergraduate grade point average of 3.00 or above (on a 4.00 scale).
- International students whose primary language is not English must show English language proficiency by a TOEFL score or demonstration of a degree awarded from an acceptable English language institution. The successful applicant will typically have a TOEFL score of 79 or higher or overall IELTS score of 6.5 or higher.
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Degree Requirements
Course List Code | Title | Hours |
| |
| 3 |
PHST 661 | Probability | 3 |
PHST 620 | Introduction to Statistical Computing | 3 |
PHMS 641 | Data Mining I | 3 |
BE 542 | Medical Image Computing | 3 |
BE 540 | Machine Learning in Medicine | 3 |
PHMS 642 | Data Mining II | 3 |
| 6 |
| Modeling of Biological Phenomena | |
| Special Topics in Bioengineering | |
| Artificial Intelligence Techniques in Digital Pathology |
| Computer Tools for Medical Image Analysis | |
| Machine Learning in Python | |
| Advanced Topics in Bioengineering | |
| Computational Methods for Medical Image Analysis | |
| |
| 3 |
Minimum Total Hours | 30 |
The Master of Science degree must be completed with a 3.00 GPA or better for all graduate courses used to satisfy degree requirements and all academic work attempted in graduate studies.