Admission Requirements
Eligibility requirements for SLU's health sciences B.S., health information management concentration to health data science, M.S. accelerated program include:
- Students must have a minimum cumulative GPA of 3.00
- Students must be in good academic and disciplinary standing with Saint Louis University and the Doisy College of Health Sciences.
- Students can declare their interest to the accelerated program to their advisor up until the sixth semester.
- No earlier than the sixth semester of collegiate study, students in the accelerated health information management concentration to M.S. health data science track submit a letter of interest to the Health Information Management Program.
Program Requirements
- In the eighth semester, students will apply to the M.S. in health data science program.
- Students will substitute designated graduate health data science courses for undergraduate health information management courses in the seventh and eighth semesters. Students can count up to 15 credits from the M.S. towards the B.S. requirements, but due to the nature of both programs, most students end up counting 9 credits from the M.S. towards the B.S.
- Accepted students will continue M.S. in health data science graduate coursework in the summer semester after graduating with a B.S in health sciences, health information management concentration.
Roadmaps are recommended semester-by-semester plans of study for programs and assume full-time enrollment unless otherwise noted.
Courses and milestones designated as critical (marked with !) must be completed in the semester listed to ensure a timely graduation. Transfer credit may change the roadmap.
This roadmap should not be used in the place of regular academic advising appointments. All students are encouraged to meet with their advisor/mentor each semester. Requirements, course availability and sequencing are subject to change.
| Year One | ||
|---|---|---|
| Fall | Credits | |
| BIOL 1240 & BIOL 1245 |
General Biology: Information Flow and Evolution and Principles of Biology I Laboratory (satisfies CORE 3800) |
4 |
| CORE 1000 | Ignite First Year Seminar | 2 |
| CORE 1500 | Cura Personalis 1: Self in Community | 1 |
| HSCI 1000 | Introduction to Health Sciences | 1 |
| MATH 1200 | College Algebra | 3 |
| XXXX | Core Elective | 3 |
| Credits | 14 | |
| Spring | ||
| BIOL 1260 & BIOL 1265 |
General Biology: Transformations of Energy and Matter and Principles of Biology II Laboratory |
4 |
| CORE 1900 | Eloquentia Perfecta 1: Written and Visual Communication | 3 |
| CORE 1600 | Ultimate Questions: Theology | 3 |
| MATH 1320 | Survey of Calculus | 3 |
| CORE 3600 | Ways of Thinking: Social and Behavioral Sciences | 3 |
| Credits | 16 | |
| Year Two | ||
| Fall | ||
| CORE 1700 | Ultimate Questions: Philosophy | 3 |
| CORE 2500 | Cura Personalis 2: Self in Contemplation | 0 |
| HIM 3000 | Health Information Management Concepts and Practice | 3 |
| HSCI 2000 | The US Health Care System | 3 |
| HSCI 2200 | Medical Terminology | 3 |
| STAT 1300 | Elementary Statistics with Computers (satisfies CORE 3200) | 3 |
| Credits | 15 | |
| Spring | ||
| BTM 2000 | Introduction to Business Technology Management | 3 |
| CORE 1200 | Eloquentia Perfecta 2: Oral and Visual Communication | 3 |
| CORE 2800 | Eloquentia Perfecta 3: Creative Expression | 2-3 |
| HSCI 2100 | Health Care Management | 3 |
| HSCI 2500 | Human Development across the Lifespan | 3 |
| Credits | 14-15 | |
| Year Three | ||
| Fall | ||
| HIM 3200 | Health Data Management | 3 |
| HIM 4750 | Fundamentals of Clinical Medicine | 3 |
| HSCI 3200 | Aspects of Health Law | 3 |
| HSCI 3300 & HSCI 3310 |
Anatomy & Physiology I and Anatomy & Physiology I Lab |
4 |
| HSCI 3700 | Research Methods (satisfies CORE 4000) | 3 |
| Credits | 16 | |
| Spring | ||
| BTM 2500 | Data Modeling, Analysis and Visualization | 3 |
| HIM 4400 | Clinical Data Analytics | 3 |
| HIM 3400 | Coding and Classification Systems | 4 |
| HSCI 3400 & HSCI 3410 |
Anatomy and Physiology Lecture II and Anatomy & Physiology II Lab |
4 |
| Credits | 14 | |
| Year Four | ||
| Fall | ||
| HIM 4510 | Health Care Revenue Cycle Management | 3 |
| HSCI 4100 | Healthcare Technology and Informatics | 3 |
| HDS 5000 | Foundations in Health Data Science | 3 |
| ORES 5300 | Foundations of Health Outcomes Research | 3 |
| CORE 3400 | Ways of Thinking: Aesthetics, History, and Culture | 3 |
| Credits | 15 | |
| Spring | ||
| HIM 4530 | Professional Practice (satisfies CORE 3500) | 3 |
| HSCI 4700 | Quality Management and Performance Improvement | 3 |
| ORES 5160 | Data Management and Programming in Healthcare | 3 |
| HDS 5130 | Healthcare Organization, Management, and Policy | 3 |
| Elective | 3 | |
| Credits | 15 | |
| Year Five | ||
| Fall | ||
| HDS 5310 | Analytics, Statistics & Visualization Methods in Health Data Science | 3 |
| HDS 5330 | Predictive Modeling and Health Machine Learning | 3 |
| Credits | 6 | |
| Spring | ||
| HDS 5430 | Health Image Processing and Deep Learning | 3 |
| HDS 5230 | High-Performance Computing and Health Artificial Intelligence | 3 |
| Credits | 6 | |
| Year Six | ||
| Fall | ||
| HDS 5530 | 3 | |
| HDS 5960 | Capstone Experience | 3 |
| Credits | 6 | |
| Total Credits | 137-138 | |
Contact Doisy College of Health Sciences
Recruitment specialist
314-977-2570
dchs@health.slu.edu