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  • Certificate in Health Analytics & Data Science
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Certificate in Health Analytics & Data Science

This certificate, offered at the University of Colorado Anschutz Medical Campus, provides graduate training in analytic methods and data science for healthcare professionals and researchers. In this program, you'll learn about analytic methods for large and complex data in areas like ‘omics, imaging, electronic health records, and mobile health. When you leave this program, you’ll be ready to answer complex clinical questions by using data to display and communicate healthcare trends.

Application and deadlines

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Gain analytical skills

Gain knowledge and skills in data analysis, data wrangling, and data visualization.

Advance your career

Build your professional skillset and pursue careers such as data analyst, data scientist, or statistical programmer.

Learn from the experts

Take advantage of faculty, research, and seminars from our Department of Biostatistics & Informatics and Center for Innovative Design & Analysis.

Curriculum


The certificate can be completed in 1-1.5 years, ​and may be done alone, or added to another degree or concentration. In this 15-credit certificate program, you'll learn methods for analytic data science in healthcare and how to apply data science methods in a variety of public health science settings. 

Students need to take one course from each table and earn a minimum of 5 credits.

Course requirement  Course ID
 Applied Biostatistics I​I​BIOS 6602
 Or 
Biostatistical Methods IBIOS 6611

Applied Biostatistics I​ is prerequisite for Applied Biostatistics II.
Biostatistical Methods I is a prerequisite for several electives.

Course requirement  Course ID
 R for Data ScienceBIOS 6640
 Or 
Introduction to PythonBIOS 6642

Applied Biostatistics I​ is prerequisite for Applied Biostatistics II.

Students need to take 3 credits from the courses listed below. Other courses may be used as electives upon approval of the certificate director.
Course requirement
Course ID
Biostatistical Methods II
BIOS 6612
Advanced Data Analysis
BIOS 6623
Causal Inference
BIOS 6641
Predictive AnalyticsBIOS 6645
Introduction to Biomedical Data Science
BSBT 6111
Machine Learning
CSCI 5930
Deep Learning
CSCI 5931
Data Science
CSCI 5580
Big Data Science
CSCI 5932/7952
Advanced Statistical Methods for Research
MATH 6388

 

Students will complete a maximum of 4 credits in this area. Other courses may be used as electives upon approval of the certificate director.

Course requirement

Course ID

Data Management using SAS

BIOS 6680
R for Data Science BIOS 6640
Introduction to Python Programming BIOS 6642
Practical Data Wrangling BIOS 6644
Computational Methods for Addressing Big Data Challenges CPBS 7630
Database Systems CSCI 5559
Big Data Systems CSCI 5951

 

Students can enroll in a maximum of 6 credits in this area.

Course requirement

Genomics
Health Informatics
Imaging Analysis
Health Services Research
Mobile Health

 

Identifier Certificate in Health Analytics and Data Science
CERT-HADS 1 Use modern computer software such as R or Python to read in multiple data types, merge files, and process data for statistical analysis steps in typical Data Science projects.
CERT-HADS 2 Use software such as R or Python to create graphical displays for exploring and communicating data and results.
CERT-HADS 3 Carry out statistical analyses for continuous outcome data (normal linear model) and categorical outcome data (logistic regression). Understand model fit, selection, evaluation, and interpretation.
CERT-HADS 4 Data science: Apply methods from at least one area of advanced statistics/analytics listed in Table 2.
CERT-HADS 5 Data communication and storytelling: Communicate methods and results of Health Analytics and Data Science verbally, and in writing to data scientists and general audiences.

 

Total credits: 15

MPH students also completing a concurrent specialty certificate will need to meet the requirements of both the MPH and the certificate with only nine overlapping credits and have a minimum of 48 total credits to graduate with both.
View the course book and course schedule >

Colorado School of Public Health

CU Anschutz

Fitzsimons Building

13001 East 17th Place

3rd Floor

Mail Stop B119

Aurora, CO 80045


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