Health Sciences, Health Information Management, B.S. to Health Data Science, M.S. Accelerated Program
Saint Louis University's accelerated B.S. in Health Sciences-Health Information Management/M.S. in Health Data Science is designed for students who demonstrate academic success in health information management and related coursework.
The program in Health Information Management (HIM) is a unique undergraduate program that blends the study of medical sciences, information technology, legal concepts and health care management.
Students in the HIM program learn the nuances of health care delivery, health care data, data management, health information technology and medical-legal aspects. This knowledge establishes a strong foundation for students interested in pursuing a M.S. in Health Data Science.
Students retain undergraduate status, financial aid, and tuition rates until their undergraduate degree is conferred after year four. At that time, students attain official graduate student status, pay graduate tuition, and become eligible for graduate assistantships.
For additional information see the catalog entries for the following programs:
Accreditation
The B.S. in Health Sciences-Health Information Management is accredited by the Commission on Accreditation for Health Informatics and Information Management Education (CAHIIM).
Eligibility requirements 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 must be in their sixth semester of collegiate study and on the accelerated Health Information Management to M.S. Health Data Science track and submit a letter of interest to the Health Information Management program.
- Students will substitute designated graduate HDS courses for undergraduate HIM courses in the seventh and eighth semesters.
- In the eighth semester, the student will apply to the M.S. Health Data Science.
- Accepted students will continue M.S. Health Data Science graduate coursework in the summer semester after graduating with a B.S in Health Information Management
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 | |
| ENGL 1900 | Advanced Strategies of Rhetoric and Research | 3 |
| HSCI 1000 | Introduction to Health Sciences | 1 |
| HSCI 2000 | The US Health Care System | 3 |
| MATH 1320 | Survey of Calculus | 3 |
| PSY 1010 | General Psychology | 3 |
| XXXX | Science Elective | 3 |
| Credits | 16 | |
| Spring | ||
| BTM 2000 | Introduction to Business Technology Management | 3 |
| CMM 1200 | Public Speaking | 3 |
| HSCI 2200 | Medical Terminology | 3 |
| PHIL 1050 | Introduction to Philosophy: Self and Reality | 3 |
| XXXX | Fine Arts Elective | 3 |
| Credits | 15 | |
| Year Two | ||
| Fall | ||
| BTM 2500 | Data Modeling, Analysis and Visualization | 3 |
| ECON 1900 | Principles of Economics | 3 |
| HIM 3000 | Health Information Management Concepts and Practice | 3 |
| HSCI 3300 & HSCI 3310 |
Anatomy & Physiology I and Anatomy & Physiology I Lab |
4 |
| XXXX | Social Science Elective | 3 |
| Credits | 16 | |
| Spring | ||
| HSCI 3400 & HSCI 3410 |
Anatomy and Physiology Lecture II and Anatomy & Physiology II Lab |
4 |
| OPM 2070 | Introduction to Business Statistics | 3 |
| PHIL 2050 | Ethics | 3 |
| XXXX | Elective | 3 |
| 2XXX | Literature Elective | 3 |
| Credits | 16 | |
| Year Three | ||
| Fall | ||
| BTM 3300 | Managing Databases and Big Data | 3 |
| HIM 3200 | Health Data Management | 3 |
| HIM 4750 | Fundamentals of Clinical Medicine | 3 |
| HSCI 3200 | Aspects of Health Law | 3 |
| HSCI 4100 | Healthcare Technology and Informatics | 3 |
| Credits | 15 | |
| Spring | ||
| HIM 3300 | Coding and Classifications | 3 |
| HIM 3600 | HIM Theory and Practice Laboratory | 1 |
| HSCI 2100 | Health Care Management | 3 |
| THEO 1000 | Theological Foundations | 3 |
| XXXX | Elective | 3 |
| XXXX | Elective | 3 |
| Credits | 16 | |
| Year Four | ||
| Fall | ||
| HDS 5310 | Analytics and Statistical Programming | 3 |
| HIM 4510 | Health Care Financial Management | 3 |
| ORES 5300 | Foundations of Outcomes Research I | 3 |
| XXXX | Elective | 3 |
| XXXX | Elective | 3 |
| Credits | 15 | |
| Spring | ||
| BTM 3700 | Business Analytics | 3 |
| HDS 5210 | Programming for Health Data Scientists | 3 |
| HIM 4530 | Professional Practice | 3 |
| HIM 4950 | Senior Seminar | 3 |
| HSCI 4700 | Quality Management and Performance Improvement | 3 |
| Credits | 15 | |
| Summer | ||
| HDS 5320 | Inferential Modeling | 3 |
| Credits | 3 | |
| Year Five | ||
| Fall | ||
| HDS 5330 | Predictive Modeling and Machine Learning | 3 |
| ORES 5160 | Data Management | 3 |
| Credits | 6 | |
| Spring | ||
| HDS 5230 | High Performance Computing | 3 |
| HMP 5000 | Health Care Organization | 3 |
| Credits | 6 | |
| Summer | ||
| HDS 5960 | Capstone Experience | 3 |
| Credits | 3 | |
| Total Credits | 142 | |
For additional admission questions please contact:
Julie Miller
Recruitment Specialist
314-977-2570
dchs@health.slu.edu