Computer Science + Health Information Management, B.A.

Health data is the most sensitive, most regulated, and most consequential data in existence. SLU's Bachelor of Arts in Computer Science + Health Information Management program prepares students to design, secure, and manage health information systems with both technical depth and genuine regulatory fluency — HIPAA, clinical coding standards, EHR systems, and health data governance included. Health care IT demand is high and growing. This Saint Louis University program puts you at the center of it.

Curriculum Overview

  • Software engineering, database design, data architecture, and cybersecurity
  • HIPAA privacy and security rules, health information governance and data quality
  • Clinical coding systems: ICD-10, CPT, SNOMED CT, LOINC
  • Health data interoperability: HL7, FHIR; EHR platforms: Epic, Cerner

Experiential and Applied Learning

Students have the opportunity for internships with hospital HIM departments, health IT vendors, and public health agencies.

Careers

  • Health informatics analyst, EHR consultant, health care cybersecurity analyst
  • HIPAA compliance officer, health IT project manager, population health scientist
  • Typical entry salary: $62,000 – $110,000
  • 97%+ employed or in graduate school within six months

Tuition

Tuition/Fee Cost Per Year
Undergraduate Tuition $58,960

Additional charges may apply. Other resources are listed below:

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Information on Tuition and Fees

Miscellaneous Fees

Information on Summer Tuition

Scholarships and Financial Aid

For more information about Saint Louis University scholarships and financial aid, please visit the Office of Student Financial Services.

  1. Analyze a complex computing problem and apply principles of computing and other relevant disciplines to identify solutions.
  2. Design, implement, evaluate and test a software system that meets a given set of computing requirements.
  3. Apply computer science theory, knowledge of computer systems and software development fundamentals to produce computing-based solutions.
  4. Communicate effectively to both professional and general audiences in both oral and written forms.

  5. Recognize professional responsibilities and make informed judgments in computing practice based on legal and ethical principles.

  6. Function effectively as a member of a team in developing computing technology and solving technical problems.

  7. Synthesize computational methods and health information management principles to design, evaluate or secure health data systems that meet clinical, regulatory and privacy obligations in real health care environments.

University Undergraduate Core32-35
Major Requirements71-72
Select a CSCI 10xx: Introduction to Computer Science3
CSCI 1300Introduction to Object-Oriented Programming4
CSCI 2100Data Structures4
CSCI 2300Object-Oriented Software Design3
CSCI 2500Computer Organization and Systems3
CSCI 2510Principles of Computing Systems3
CSCI 3100Algorithms3
CSCI 4961Capstone Project I2
CSCI 4962Capstone Project II2
Select one Systems Elective course3
Two additional 3000 or 4000 level CSCI elective courses6
Required Mathematics Courses
MATH 1510Calculus I4
MATH 1520Calculus II4
MATH 1660Discrete Mathematics3
STAT 3850Foundation of Statistics3
Required Computer Ethics
PHIL 3050XComputer Ethics3
Health Information Management Requirements
HSCI 2000The US Health Care System3
HSCI 2200Medical Terminology3
HIM 3000Introduction to Health Information Concepts and Practice3
BTM 2000Introduction to Business Technology Management3
CS + HIM Electives6-7
Select two of the following courses
Health Data Management
Coding and Classification Systems
Clinical Data Analytics
Health Care Revenue Cycle Management
Fundamentals of Clinical Medicine
University Electives13-17
Total Credits120

Introduction to Computer Science

Introduction to Computer Science: Principles
Introduction to Computer Science: Bioinformatics
Introduction to Computer Science: Cybersecurity
Introduction to Computer Science: Game Design
Introduction to Computer Science: Mobile Computing
Introduction to Computer Science: Multimedia
Introduction to Computer Science: Scientific Programming
Introduction to Computer Science: Taming Big Data
Introduction to Computer Science: World Wide Web
Introduction to Computer Science: Special Topics
With permission, a computing-intensive course from another discipline may be substituted as long as it is not already fulfilling another requirement. Examples of such courses include:
Biomedical Engineering Computing
Civil Engineering Computing
Foundation of Statistics

Systems Electives Courses

Operating Systems
Computer Security
Computer Networks
Concurrent and Parallel Programming
Distributed Computing

Non-Course Requirements

All School of Science and Engineering B.A. and B.S. students must complete an exit interview/survey near the end of their bachelor's program. 

Continuation Standards

After declaring a computer science major, students must achieve a minimum GPA of 2.00 in computer science courses by the conclusion of their second year as a major and maintain such a GPA at the conclusion of each semester thereafter. Furthermore, students should require at most two attempts to successfully complete any computer science courses required for the major (where an unsuccessful attempt is considered a "D" or "F" for courses numbered 2100 and lower, and an "F" in higher-level courses).

Students are also expected to make adequate progress in the major, typically by enrolling in at least one computer science course per semester until completing their coursework (with exceptions made for premed scholars during their first year, and all students if studying abroad or facing other such extenuating circumstances).

Program Notes

At most, three credit hours of internship with industry courses can be applied to the degree.

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.
Plan of Study Grid
Year One
FallCredits
CSCI 10XXIntroduction to Computer Science 3
MATH 1660 Discrete Mathematics 3
CORE 1700 Ultimate Questions: Philosophy 3
CORE 1000 Ignite First Year Seminar 3
CORE 1500 Cura Personalis 1: Self in Community 1
CORE 1900 Eloquentia Perfecta 1: Written and Visual Communication 3
 Credits16
Spring
CSCI 1300 Introduction to Object-Oriented Programming 4
MATH 1510 Calculus I 4
CORE 1600 Ultimate Questions: Theology 3
HSCI 2000 The US Health Care System 3
COREEquity and Global Identities: Identities in Context 3
 Credits17
Year Two
Fall
MATH 1520 Calculus II 4
CSCI 2100 Data Structures 4
HSCI 2200 Medical Terminology 3
HIM 3000 Introduction to Health Information Concepts and Practice 3
CORE 2500 Cura Personalis 2: Self in Contemplation 0
 Credits14
Spring
CSCI 2500 Computer Organization and Systems 3
CSCI 2300 Object-Oriented Software Design 3
BTM 2000 Introduction to Business Technology Management 3
STAT 3850 Foundation of Statistics 3
CORE 3500 Cura Personalis 3: Self in the World 1
CORE 3600 Ways of Thinking: Social and Behavioral Sciences 3
 Credits16
Year Three
Fall
CSCI 2510 Principles of Computing Systems 3
CSCI 3000-level or 4000-level elective 3
CS + HIM Elective 3
CORE 1200 Eloquentia Perfecta 2: Oral and Visual Communication 3
University Elective 3
 Credits15
Spring
CSCI 3000-level or 4000-level elective 3
PHIL 3050X Computer Ethics 3
CS + HIM Elective 3
CORE 2800 Eloquentia Perfecta 3: Creative Expression 3
Systems Elective 3
 Credits15
Year Four
Fall
CSCI 4961 Capstone Project I 2
CSCI 3100 Algorithms 3
COREEloquentia Perfecta: Writing Intensive 3
CORE 4000 Collaborative Inquiry 3
University Elective 3
 Credits14
Spring
CSCI 4962 Capstone Project II 2
CORE 3800 Ways of Thinking: Natural and Applied Sciences 3
CORE 4500 Reflection-in-Action 0
CORE 3400 Ways of Thinking: Aesthetics, History, and Culture 3
University Electives 5
 Credits13
 Total Credits120

For more information about computer science programs, please call 314-977-6667 or email cs@slu.edu