Saint Louis University's Artificial Intelligence in Medicine Graduate Pathway prepares students to enter the next semester of the Master of Science in Artificial Intelligence degree. Upon successfully completing the graduate pathway program and meeting SLU's requirements for matriculation, students may enter the next semester of graduate study.
Program Entry Requirements
One-semester (Accelerated) Pathway
- Undergraduate degree or equivalent with 2.5 GPA on 4.0 scale
- Coursework in calculus, computer science, and / or statistics (optional)
- Language requirement (one of the following):
- TOEFL 75
- IELTS 6.0 (6.0 in reading and writing)
- PTEA 50
- Duolingo 105
Two-semester (Standard) Pathway
- Undergraduate degree or equivalent with 2.5 GPA on 4.0 scale
- Coursework in calculus, computer science, and / or statistics (optional)
- Language requirement (one of the following):
- TOEFL 70
- IELTS 6.0 (5.5 in reading and writing)
- PTEA 48
- Duolingo 95
- Completion of Academic English Level 4
This roadmap is just one example of a semester-by-semester plan of study for this program. There are other plans students can and do take. The plan of study for each particular student is established in consultation with each student’s academic advisor; this roadmap does not replace academic advising appointments.
Roadmap notes:
- This Roadmap assumes full-time enrollment unless otherwise noted.
- Courses/Milestones marked with an “!” are critical and must be completed in the semester listed in the Roadmap to ensure a timely graduation.
- Course availability and sequencing are subject to change.
One-semester (Accelerated) Pathway
Plan of Study Grid
| Year One |
| Fall |
| EAP 4200 |
Advanced Reading and Writing as Researchers for International Graduate Students |
3 |
| EAP 4250 |
Advanced Listening and Speaking for International Graduate Students II |
2 |
| AI 5000 |
Introduction to Artificial Intelligence and Machine Learning |
3 |
| AIM 5630 |
AI for Precision Medicine, Genomics & Diagnostics |
3 |
| | Credits | 11 |
| | Total Credits | 11 |
Two-semester (Standard) Pathway
Plan of Study Grid
| Year One |
| Fall |
| EAP 4100 |
Introduction to Reading and Writing for International Graduate Students I |
3 |
| EAP 4150 |
Listening and Speaking for International Graduate Students I |
2 |
| AI 5000 |
Introduction to Artificial Intelligence and Machine Learning |
3 |
| AIM 5630 |
AI for Precision Medicine, Genomics & Diagnostics |
3 |
| | Credits | 11 |
| Spring |
| EAP 4200 |
Advanced Reading and Writing as Researchers for International Graduate Students |
3 |
| EAP 4250 |
Advanced Listening and Speaking for International Graduate Students II |
2 |
| AI 5200 |
Data for AI and ML |
3 |
| AIM 5430 |
Reinforcement Learning for Clinical Decision Making |
3 |
| | Credits | 11 |
| | Total Credits | 22 |