University of Louisville - School of Public Health and Information Sciences
Master of Science in Artificial Intelligence in Medicine (Online)Online
DURATION
30 Hours
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
Request application deadline
EARLIEST START DATE
May 2025
TUITION FEES
USD 830 / per credit
STUDY FORMAT
Distance Learning
Key Summary
Introduction
UofL’s 100% online Master of Science in Artificial Intelligence in Medicine (MS AIM) prepares medical professionals and engineers to effectively analyze medical problems and interpret complex data. As one of the few schools in the nation to offer this interdisciplinary degree, the goal is to equip future students for the next generation of healthcare technology through artificial intelligence methodologies, computational practices, and machine learning techniques.
In this 30-credit-hour graduate degree program, students acquire expertise in artificial intelligence in medicine—including big data, medical imaging, biostatistics and experimental data. The highly specialized coursework is designed to provide graduates with the knowledge and skills needed to effectively analyze biomedical data, improve patient care and advance as leaders and innovators within healthcare.
This program is offered by the Department of Bioengineering in the J.B. Speed School of Engineering and the Department of Bioinformatics and Biostatistics in the School of Public Health & Information Sciences at the University of Louisville.
Highlights
- Gain experience from courses taught 100% online by leaders in the bioengineering and biostatistics fields
- Skip the GRE— not required for admission into the master’s program
- Learn to implement artificial intelligence technologies to improve patient care and find innovative solutions to medical challenges
- Utilize data science and machine learning for research in healthcare and build a solid foundation in programming, software engineering, statistical analysis, and data storage and retrieval
- Recognize, formulate and apply sophisticated engineering, scientific and mathematical models to address the rapidly evolving medical challenges
Admissions
Curriculum
The online Master of Science in Artificial Intelligence in Medicine is a 30 credit hour (10 course) program, with each course delivered in a 15-week course format (fall/spring) or 10-week (summer), 100% online. Each student must take 8 core courses (24 credit hours) and 2 elective courses (6 credit hours). Some of the courses are offered only in the spring, fall or summer semesters, therefore, it is important to work with your academic advisor on mapping out the best course for degree completion. Students will need to maintain at least a 3.0 GPA or higher for graduate courses to satisfy the degree requirements. All program requirements must be completed within six years of admission into the program.
| Core Course List (24 Credits) | Credit Hours |
| BE 540: Machine Learning in Medicine | 3 |
| BE 542: Medical Image Computing | 3 |
| BE 604: Introduction to AI in Medicine | 3 |
| BE 691: Non-thesis design/ Research project | 3 |
| PHMS 641: Data Mining | 3 |
| PHMS 642: Data Mining II | 3 |
| PHST 620: Introduction to Statistical Computing | 3 |
| PHST 680: Biostatistical Methods I | 3 |
| Total Core Credit Hours | 24 |
| Elective Courses (6 Credits) | Credit Hours |
| BE 530: Machine Learning in Python | 3 |
| BE 543: Computer Tools for Medical Image Analysis | 3 |
| BE 544: AI Techniques In Digital Pathology | 3 |
| BE 640: Computational Methods for Medical Image Analysis | 3 |
| BE 645: Artificial Intelligence and Radiomics | 3 |
| PHST 661: Probability | 3 |
| Total Elective Hours | 6 |
| Total Core Credit Hours | 24 |
Program Outcome
What can I do with an MS in Artificial Intelligence in Medicine?
The employment outlook for professionals with a degree in artificial intelligence in medicine is promising and continues to expand rapidly. With advancements in technology and an increasing demand for AI-driven solutions in healthcare, graduates can anticipate diverse career opportunities. From developing AI algorithms for medical diagnostics to implementing machine learning models in clinical settings, professionals in this field are poised to make significant contributions to improving patient care and advancing medical research. Additionally, the intersection of AI and medicine offers opportunities for interdisciplinary collaboration, paving the way for innovative breakthroughs in healthcare delivery.
What skills will this program help me learn?
Earning your graduate degree in artificial intelligence in medicine will help enhance your ability to effectively analyze medical problems and interpret complex data. Through completion of this online program, you can acquire expertise in key areas of artificial intelligence—including computation, modelling and simulation, machine learning, big data and advanced statistical analysis—and their direct application to medical data management, medical imaging, disease progression modelling, experimental (clinical and laboratory) data and healthcare information.
Program Tuition Fee
Career Opportunities
Our successful graduates are well-suited to apply their credentials toward the following roles and careers:
- Machine Learning Engineer
- Artificial Information Engineer
- Director of Medical Imaging
- Digital Solutions Engineer
- Personalized Medicine Directors
- Director of AI for Medical Engagement
- Account Executive for Artificial Intelligence in Medicine
- Senior DevOps Engineering
- Medical AI Research Scientist
- Healthcare Data Analyst
- Biomedical Informatics Engineer
- AI Healthcare Consultant
- Medical Imaging AI Engineer
- Health Informatics Specialist
- Machine Learning Healthcare Developer
- Clinical Decision Support Systems Developer
- Computational Biologist
Program delivery
The online Master of Science in Artificial Intelligence in Medicine is a 30-credit hour (10-course) program, with each course delivered in a 15-week course format (fall/spring) or 10-week (summer), 100% online. Each student must take 8 core courses (24 credit hours) and 2 elective courses (6 credit hours).
English Language Requirements
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