Health Data Science Graduate Pathway
Saint Louis University's Health Data Science Graduate Pathway prepares students to enter the next semester of the Master of Science in Health Data Science degree program. 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
Accelerated Pathway (One-semester Program)
- Undergraduate degree or equivalent
- 2.50 GPA on a 4.0 scale
- Previous coursework in calculus, computer science and/or statistics (optional)
- Language requirement (one of the following):
- TOEFL iBT 75 (17+ subscores in reading and writing)
- IELTS 6.0 (6.0+ subscores in reading and writing)
- PTEA 50
- Duolingo 105
Standard Pathway (Two-semester Program)
- Undergraduate degree or equivalent
- 2.50 GPA on a 4.0 scale
- Previous coursework in calculus, computer science and/or statistics (optional)
- Language requirement (one of the following):
- TOEFL iBT 70 (13+ subscores in reading and writing)
- IELTS 6.0 (5.5+ subscores in reading and writing)
- PTEA 48
- Duolingo 95
- 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.
- 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.
- Students will be able to apply a process-driven approach to completing verbal and written academic assignments in multiple disciplines and modes.
- Students will be able to deploy reflective and self-regulated learning strategies.
One-semester (Accelerated) Pathway
| Code | Title | Credits |
|---|---|---|
| Required Courses | ||
| 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 |
| HDS 5000 | Foundations in Health Data Science | 3 |
| ORES 5160 | Data Management and Programming in Healthcare | 3 |
| or ORES 5300 | Foundations of Health Outcomes Research | |
| Total Credits | 11 | |
Two-semester (Standard) Pathway
| Code | Title | Credits |
|---|---|---|
| Required Courses | ||
| EAP 4100 | Introduction to Reading and Writing for International Graduate Students I | 3 |
| EAP 4150 | Listening and Speaking for International Graduate Students I | 2 |
| 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 |
| HDS 5000 | Foundations in Health Data Science | 3 |
| HDS 5310 | Analytics, Statistics & Visualization Methods in Health Data Science | 3 |
| ORES 5160 | Data Management and Programming in Healthcare | 3 |
| ORES 5300 | Foundations of Health Outcomes Research | 3 |
| Total Credits | 22 | |
Continuation Standards
- Minimum of 3.00 cumulative SLU GPA
- Grade of "B" or better in classes counting toward the degree
- No C-/D/F/W/I/P/NP/S/U grades
Progression Requirements
- Minimum of 3.00 cumulative SLU GPA
- Grade of "B" or better in classes counting toward the degree
- No C-/D/F/W/I/P/NP/S/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
| Year One | ||
|---|---|---|
| Fall | Credits | |
| 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 |
| HDS 5000 | Foundations in Health Data Science | 3 |
| ORES 5160 or ORES 5300 |
Data Management and Programming in Healthcare or Foundations of Health Outcomes Research |
3 |
| Credits | 11 | |
| Total Credits | 11 | |
Two-semester (Standard) Pathway
| Year One | ||
|---|---|---|
| Fall | Credits | |
| EAP 4100 | Introduction to Reading and Writing for International Graduate Students I | 3 |
| EAP 4150 | Listening and Speaking for International Graduate Students I | 2 |
| HDS 5000 | Foundations in Health Data Science | 3 |
| ORES 5160 | Data Management and Programming in Healthcare | 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 |
| HDS 5310 | Analytics, Statistics & Visualization Methods in Health Data Science | 3 |
| ORES 5300 | Foundations of Health Outcomes Research | 3 |
| Credits | 11 | |
| Total Credits | 22 | |
