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.

Steps to Apply

1. Complete online application
2. Submit $40 application fee
3. Request official transcripts certifying an undergraduate degree earned from an accredited institution.
   • Electronic (recommended):
     gradadm@louisville.edu
   • Physical Mail:
     University of Louisville,
     Graduate School
     2211 S Brook St, Houchens Bldg, Rm 105
     Louisville, KY 40292;
4. Check for Scholarships

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Admission Requirements

• Bachelor's degree or its equivalent from an accredited institution.
• The successful applicant will typically have an undergraduate grade point average of 3.0 or above (on a 4.0 scale)**
• Students who have not completed an introductory computer programming course or without computer programming experience are encouraged to apply but may be asked to take a pre-requisite course.*

GMAT/GRE scores are not required for admission.

International Applicants

International students whose primary language is not English must show English language proficiency. Transcripts from institutions outside of the United States will require a foreign credential evaluation.

Students whose primary language is not English must show English language proficiency by attaining one of the following:

• TOEFL score of 79 or higher (after conversion for test type)
• IELTS test score of 6.5 or higher
• Duolingo English test score of 105 or higher
• Demonstrate a degree award from an acceptable English language institution

** 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 4 courses (totaling 12 graduate credit hours). Courses are delivered in standard term lengths and are asynchronous, although there may be synchronous components to some assignments.* The certificate can be completed 100% online, with additional course options (listed below) also available on-campus.

Depending on your education and/or work background, some courses may have prerequisites that must be met prior to enrollment. You will work with a faculty advisor to map out your degree path and ensure that your chosen courses can be completed in the timeframe that is right for you.

You will choose from the following courses, with a minimum of 3 Bioengineering (BE) courses.

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.

Additional Courses Available On-Campus

• BE 685 Modeling of Biological Phenomena
• CSE 590 Introduction to Machine Learning
• CSE 632 Data Mining
• CSE 641 Medical Image Systems
• CSE 660 Introduction to Bioinformatics
• CSE 694 Current Topics in Bioinformatics
• CSE 694 Special Topics in Computer Science and Engineering
• PHST 655 Statistical Methods for Bioinformatics
• PHST 681 Biostatistical Methods
• PHST 710 Advanced Statistical Computing

Courses Note: Only one of either CSE 632 or PHMS 641 can count toward the certificate.

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Course Descriptions

Featured Faculty

• What skills will this program help me learn?

  Earning your graduate certificate in artificial intelligence in medicine will help enhance your ability to effectively analyze medical problems and interpret complex data. 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.

• Do I need to have a bachelor’s degree in a specific area?

  A bachelor’s degree in any field from an accredited college or university is acceptable for entrance into the graduate certificate in artificial intelligence in medicine online program. However, the successful applicant will need an undergraduate grade point average of 3.0 or above (on a 4.0 scale). Students may be admitted provisionally with a 2.75 GPA but will need to maintain a 3.0 GPA or higher for all courses taken in the online graduate certificate in artificial intelligence and medicine program to satisfy the 15-credit certificate requirement.

• Are the prerequisite courses offered online?

  Yes, the prerequisite courses for the graduate certificate in artificial intelligence in medicine are BE 340 (Computational Methodologies in Bioengineering) or equivalent programming training/experience, as well as ENG 205 (Differential Equations in Engineering) or PHST 563 (Math Tools III) or equivalent. If a student does not meet the prerequisite requirements prior to being admitted into the graduate certificate in artificial intelligence and medicine program, it is recommended that they work with Leigh Ann Elles, Assistant Director of Engineering Graduate Programs at leigh.elles@louisville.edu to discuss options for enrolling in the prerequisite classes.

• What are the career outcomes for someone with this certificate?

  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. Some career options for students who graduate with a certificate in artificial intelligence in medicine include data science specialist, machine learning specialist, machine learning researcher, artificial intelligence specialist, artificial intelligence product manager and much more.