Artificial Intelligence in Health Care (AIHC) – Professional Master's
- David R. Holmes, III, Ph.D., Program Director
Pre-Requisite Course Work
- Introduction to statistics: Data summarization and statistical testing (like )
- Linear Algebra: Matrix Math
- Calculus: Single variable (“Calc 1”)
- Introduction to Scientific Programming (Python and/or R preferred)
Application
Candidates must complete a Professional Master’s Degree Application form. This form is available on the MCGSBS Master’s Programs intranet site. Supporting documents include a program fee agreement form, transcripts from previous colleges, and two letters of recommendation - one preferred from your direct supervisor/manager.
Eligibility
Enrollment is restricted to current Mayo employees/appointees and is available at all three sites: Arizona, Florida, and Minnesota, as well as Mayo Clinic Health System. Visiting clinicians, research trainees, and research collaborators are not eligible.
Applicants must have received a bachelor’s degree from an accredited college or university, must have taken appropriate undergraduate science courses to adequately prepare for the Master’s program, and must have a minimum undergraduate grade point average that demonstrates a record of academic excellence.
Time Requirement
Time to completion can vary by student (three to five years), but all requirements for the Master’s degree must be completed within five years. The five-year period begins on the start date of the term the student is appointed to. If the student's Mayo employment ends prior to completion of the program, the MCGSBS appointment will also end.
Registration Requirement
At least 75% of the coursework for the Master’s degree must be completed in MCGSBS.
Minimum Credit Requirements
Students must complete a minimum of 45 credits, including MGS 6000 Responsible Conduct of Research. Didactic credits may vary by track - refer to specific program requirements for details.
Transfer Credits
A total of 9 didactic credits may be transferred into the Professional Master’s Program. For more details, see the Credit Conversion, Transfer, Waiver and Substitution Policy on the MCGSBS intranet site.
Course Requirements
The curriculum for the Master’s degree consists of 45 credits with maintenance of at least a 3.0 GPA are required for graduation. The student must complete all of the required courses listed below:
| Code | Title | Hours |
|---|---|---|
| AI Methods Requirements (9 credits required) | ||
| AIHC 5200 | AI Math Foundations | 2 |
| AIHC 5615 | Fundamentals of Statistics for Artificial Intelligence | 2 |
| AIHC 5100 | AI Fundamentals for Healthcare Professionals | 2 |
| AIHC 5010 | Introduction to Machine Learning | 3 |
| AIHC 5600 | Foundations of Artificial Neural Networks | 2 |
| BME 6720 | Deep Learning for Medical Imaging | 3 |
| Cloud Requirements (4 credits required) | ||
| AIHC 5300 | Introduction to Mayo Clinic Cloud | 1 |
| AIHC 5020 | Introduction to Data | 3 |
| AIHC 6020 | Data Curation in Healthcare | 2 |
| AIHC 6150 | Special Topics: Generative AI Advanced Solutions Lab | 2 |
| Healthcare Implementing Requirements (4 credits required) | ||
| AIHC 5030 | Introduction to Deployment, Adoption & Maintenance of Artificial Intelligence Models/Algorithms | 2 |
| AIHC 5045 | Healthcare Software & AI Management: Quality, Safety, & Implementation | 1 |
| CTSC 5370 | Introduction to Epidemiology | 2 |
| CTSC 5390 | Advanced Applied Epidemiological Methods | 2 |
| CTSC 5720 | Clinical Trials Design and Conduct | 1 |
| Informatics Requirements (4 credits required) | ||
| AIHC 5960 | Introduction to Medical Informatics | 2 |
| AIHC 5961 | Health Information Technology Evaluation: Clinical Informatics Methods | 1 |
| AIHC 5963 | Health Information Security | 1 |
| AIHC 5964 | AI & HIT Implementation | 1 |
| CTSC 5400 | Introduction to Bioinformatics Concepts and Core Technologies for Individualized Medicine Approaches | 1 |
| Engagement Requirements | ||
| MGS 6000 | Responsible Conduct of Research | 1 |
| CTSC 5350 | Ethical Issues in Artificial Intelligence and Information Technologies | 1 |
| AIHC 5500 | Artificial Intelligence and Machine Learning Journal Club | 1 |
| AIHC 5000 | AIHC Seminar Series | 1 |
Remaining 2 credits to be discussed with Program Director | ||
| Electives (12 credits required) | ||
Any course approved for graduate credit regardless of the “track” it is offered by. Student can select their elective credits based on recommendations from their advisor or based on their professional goals. | ||
| Practicum Requirements (6 credits required) | ||
| MGS 6400 | Master's Capstone Project | 6 |
| Total Hours | 45 | |
Program milestones are included in the Academic Progress and Graduation Requirements for Masters Programs Policy. See below for BMB-specific program highlights and instruction.
Students are expected to make continuous and successful academic and professional progress toward graduation requirements for the M.S. degree. The concept of satisfactory progress mandates monitoring of a students’ academic and professional performance through items including, but not limited to:
- Complete Degree Planning Tool (DPT)
- Project Advisor Selection
- Master's Capstone Project
- Meet any program-specific competencies as defined by the track
Full details are included in the Academic Progress and Graduation Requirements for Master's Programs Policy on the MCGSBS intranet site.
Minimum Grade Requirements
Students are expected to maintain a grade point average of 3.0 in didactic coursework. Students whose performance falls below this standard in a given quarter will be placed on academic probation, as described in the Deficiencies and Unsatisfactory Progress Policy and Warning, Probation, Dismissal and Appeal Policy outlined on the MCGSBS intranet site.
Degree Planning Tool
The use of a Degree Planning Tool (DPT) is required and allows students to list the coursework to fulfill degree requirements, including transfer credits. The DPT must be completed during the first academic year and should be updated as courses are completed throughout the training program. A final completed DPT must be submitted to the school when a tentative defense date has been determined to be cleared to graduate.
Project Advisor Selection
The Project Advisor is selected with counsel from the Program Director at any time during training, but no later than the end of the year. A list of Faculty with privileges can be found on the MCGSBS intranet site.
Master's Capstone Project
This is required for all students in the Professional Master’s Program and serves as the final academic milestone of the degree. Projects may take the form of a critical review article, original research manuscript, case study, or another approved scholarly product suitable for presentation or publication. Students must register for MGS 6400 Master's Capstone Project during their final quarter in the program. The course may only be taken once for credit. Students must register with the Program Director for their track as the course director.
Cost
Mayo Clinic employees accepted into the Master’s program continue to receive the salary from their primary appointment and do not receive a stipend from MCGSBS.
Program fees are charged for many Master’s programs to cover administrative costs, due upon admission. The cost is covered by Mayo Clinic funds, either by the candidate’s home department or lab.
Suggested Sequence
This is a suggested sequence based on a summer term start. Individual course plans may vary depending on true start date, program, employment/personal commitments, and research interests. Be sure to confirm you have met your requirements using your degree planning tool. Course offerings may vary slightly. Current course offerings are posted in the course catalog.