Colorado State University Global offers a 36-credit online Master of Science in Healthcare Analytics. The program combines healthcare data, statistics, SQL, data mining, predictive analytics, visualization, and a healthcare-focused capstone. Monthly starts and asynchronous 8-week courses make it a flexible option for working students who want an analytics-centered route into health informatics.
CSU Global Healthcare Analytics: Quick Facts
| Program fact | Details |
|---|---|
| School | Colorado State University Global |
| Location | Denver, Colorado; program delivered online |
| Degree | Master of Science in Healthcare Analytics |
| Credits | 36 semester credits |
| Format | 100% online, asynchronous, 8-week courses |
| Start dates | 12 per year, with a new start each month |
| Typical pace | About 2 years at 18 credits per year |
| Transfer credit | Up to 18 credits, subject to university approval |
| Core focus | Healthcare data, statistics, SQL, data mining, predictive analytics, and visualization |
| Final experience | Healthcare Data Analytics Capstone |
| Tuition | $675 per credit for 2026–2027; about $24,300 for 36 credits |
| Fees | No student fees listed |
| Prerequisite background | Programming, database management, and statistics |
Program Overview
The CSU Global M.S. in Healthcare Analytics prepares students to use data for clinical, operational, and financial decisions in healthcare organizations. The degree has a stronger quantitative focus than many broad health informatics programs. Students work with healthcare datasets while building skills in data preparation, modeling, reporting, and communication.
The official CSU Global program page identifies potential roles such as healthcare data analyst, clinical data scientist, and healthcare consultant. It also connects the curriculum with health informatics specialist work. This makes the degree relevant to the directory, though students seeking EHR implementation, clinical workflow, or nursing informatics may prefer a broader informatics curriculum.
Curriculum and Courses
The 36-credit program includes a defined analytics sequence and a healthcare capstone. Required courses listed by CSU Global include:
Statistical Foundations in Analytics: Bayesian statistics, Python, probabilistic models, and data analysis.
Data Wrangling: Cleaning, merging, shaping, and storing data with tools such as Excel, Python, and R.
Data Mining and Visualization: Regression, decision trees, support vector machines, neural networks, clustering, text analytics, and visual representation.
SQL for Data Analytics: Database querying, aggregation, calculation, and data-combination skills.
Predictive Analytics: Pattern discovery, variable selection, and predictive model development.
Data Reporting and Visualization: Dashboards, use cases, stakeholder needs, and data storytelling.
Analytics in Healthcare: Data on hospital ratings, readmissions, Medicare spending, staffing, emergency departments, patient satisfaction, and population health.
Healthcare Data Analytics Capstone: Application of people, process, technology, and analytics to real healthcare problems.
CSU Global also states that students customize the degree with a 12-credit graduate specialization. Available choices can change, and not every specialization applies to every degree. Applicants should confirm the current options and how specialization credits fit within the 36-credit plan.
How the Program Fits Health Informatics
This program fits the data and analytics side of health informatics. It teaches students to manage healthcare data, identify patterns, build predictive models, and explain results to healthcare decision-makers. The healthcare-specific course and capstone keep the technical work tied to patient care, population health, operations, and financial performance.
The tradeoff is breadth. The published required-course list places less emphasis on clinical workflow design, health information exchange, EHR implementation, terminology standards, and organizational change than a traditional health informatics degree may provide. Students should match the curriculum to the type of informatics role they want.
Online Format and Schedule
CSU Global delivers the program fully online. Courses run in asynchronous 8-week terms, so students do not need to attend scheduled live classes. The university offers 12 starts per year, with a new term beginning each month.
CSU Global calculates annual graduate tuition using 18 credits per year. At that pace, a 36-credit program takes about two years. Students who transfer approved graduate credit or choose a different course load may finish on a different schedule.
Admission Requirements and Prerequisites
Applicants must meet CSU Global’s institutional graduate admission standards. The program also expects an undergraduate major or concentration in management information systems, information technology, computer science, or database management, plus recent introductory coursework or experience in programming, database management, and statistics.
Students without the full background may receive provisional admission. CSU Global lists Statistics for Data Analytics Using R and Database Concepts, or a combined Foundations in Data Management and Statistical Analysis Using R course, as possible preparation. Provisionally admitted students must complete the required background work within 12 months of starting and maintain a 3.0 GPA.
Tuition and Financial Aid
CSU Global lists 2026–2027 graduate tuition of $675 per credit. Standard tuition for the 36-credit degree is therefore about $24,300. The university lists no student fees and states that continuously enrolled students receive a tuition guarantee that keeps their tuition rate from increasing. Books and course materials may add to the total.
The CSU Global tuition page also lists a temporary rate of $607.50 per credit for students starting a graduate degree in July, August, September, or October of the 2026–2027 school year. That rate would place 36-credit tuition at $21,870. The offer has eligibility rules, and discounts may not be combined, so students should confirm the rate before enrolling.
Eligible graduate students may use federal financial aid, scholarships, employer tuition assistance, military benefits, or other payment options. Each applicant should compare the full cost after aid and verify whether transferred credits reduce the amount owed.
Career Paths
The degree can support roles that center on healthcare data and decision support, including:
Healthcare data analyst
Clinical data analyst or clinical data manager
Health informatics specialist
Healthcare business intelligence analyst
Population health analyst
Healthcare analytics consultant
Clinical data scientist
Healthcare reporting or visualization specialist
A master’s degree does not guarantee a specific position or salary. Employers may also require healthcare experience, technical skills, professional credentials, or knowledge of a specific EHR or analytics platform.
Who Is This Program Best For?
CSU Global may fit working professionals who want a fully online program with monthly starts, short terms, and a clear healthcare analytics focus. It may appeal to analysts, IT professionals, healthcare administrators, and technically prepared clinicians who want stronger skills in SQL, statistics, predictive modeling, and visualization.
The program may be less suitable for students who want a campus experience, a research thesis, or a curriculum centered on clinical informatics practice and EHR implementation. The technical prerequisites also make it a better match for applicants who already have some programming, database, and statistics experience or are willing to complete foundation courses.
The Verdict
CSU Global offers a focused and flexible path into healthcare analytics. Its strongest features are the 36-credit structure, healthcare-specific analytics work, asynchronous 8-week courses, monthly starts, transparent tuition, and lack of student fees.
The program belongs in a health informatics directory because it applies data management and analytics directly to healthcare problems. Its focus is narrower than a traditional health informatics degree, so applicants should choose it for healthcare data analysis rather than for broad training in clinical systems and informatics leadership.
Related Programs
Compare CSU Global with other health informatics programs in Colorado.
- Regis University - Denver
- University of Colorado Anschutz Medical Campus - Aurora
- University of Colorado Denver - Denver
- University of Denver - Denver