Artificial Intelligence in Medicine Graduate Pathway

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
  1. Students will be able to execute a variety of verbal tasks in academic settings using English that can be understood by those unaccustomed to non-native speakers.
  2. Students will be able to execute a variety of written tasks in academic settings using English that can be understood by those unaccustomed to non-native writers.
  3. Students will be able to apply a process-driven approach to completing verbal and written academic assignments in multiple disciplines and modes.
  4. Students will be able to deploy reflective and self-regulated learning strategies.

One-semester (Accelerated) Pathway

Required Courses
EAP 4200Advanced Reading and Writing as Researchers for International Graduate Students3
EAP 4250Advanced Listening and Speaking for International Graduate Students II2
AI 5000Introduction to Artificial Intelligence and Machine Learning3
AIM 5630AI for Precision Medicine, Genomics & Diagnostics3
Total Credits11

Two-semester (Standard) Pathway

Required Courses
EAP 4100Introduction to Reading and Writing for International Graduate Students I3
EAP 4150Listening and Speaking for International Graduate Students I2
EAP 4200Advanced Reading and Writing as Researchers for International Graduate Students3
EAP 4250Advanced Listening and Speaking for International Graduate Students II2
AI 5000Introduction to Artificial Intelligence and Machine Learning3
AI 5200Data for AI and ML3
AIM 5430Reinforcement Learning for Clinical Decision Making3
AIM 5630AI for Precision Medicine, Genomics & Diagnostics3
Total Credits22

Continuation Standards

  • Minimum 3.0 cumulative GPA
  • Grade of B or better in classes counting toward degree
  • No C- / D / F/ W / I / P / NP / U grades

Progression Requirements

  • Minimum 3.0 cumulative GPA
  • Grade of B or better in classes counting toward degree
  • No C- / D / F/ W / I / P / NP / U grades
  • Successful completion of program portfolio

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
FallCredits
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
 Credits11
 Total Credits11

Two-semester (Standard) Pathway

Plan of Study Grid
Year One
FallCredits
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
 Credits11
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
 Credits11
 Total Credits22