female mph student

MPH in Applied Analytics, Informatics, and AI [Applied (AI)²]

This concentration prepares you to turn data into meaningful public health action. With an emphasis on applied learning rather than theory, you'll develop skills in analytics, informatics, programming, data wrangling, predictive modeling, and AI-enabled approaches to solving complex public health problems. Whether you're a working professional, a researcher, or someone looking to expand your quantitative skill set, you'll gain hands-on experience managing and analyzing data, collaborating across disciplines, and communicating insights to diverse audiences. Flexible advising pathways in Analytics, Informatics, and Applied AI allow you to customize your educational experience, and a Global Health emphasis is available for students interested in improving health outcomes worldwide.

Quick facts, careers, and skills

When you leave this program, you’ll be prepared for a career in local, state, and federal agencies; health and medical centers; pharmaceutical companies; and research institutions working on topics such as heart and lung disease, cancer, genetics, and infectious diseases, among others.

Quick facts

Program location: CU Anschutz
Credit hours: 42-45
Est. time to complete: 2 years
Option: Emphasis in global health

Sample careers

Data manager
Biostatistician
Health services researcher
& more

Skills you'll gain

Data analysis and interpretation
Data management
Collaboration
& more

Curriculum


In this 42- to 45-credit program, you'll learn about all stages of research, starting with study design up through data analysis and interpreting results, all with an emphasis on reproducibility. In addition to the public health core areas, you'll take classes in advanced data analysis, database design and management, statistical consulting, and machine learning methods. You’ll also choose from elective courses to specialize in what matters most to you.

Total credits: 42

MPH Best Path Schedule 


Competencies

IdentifierCompetenciesCourse Where Competency is Addressed/Assessed
MPH-BIOS 1Translate a study's scientific question or aims into testable statistical hypotheses and propose and apply appropriate statistical methods to test those hypotheses.BIOS 6602
MPH-BIOS 2Fit and interpret models for continuous outcome data (normal linear model), categorical outcome data (logistic regression), and time-to-event data (Cox regression). BIOS 6602
MPH-BIOS 3Apply concepts of multiple regression, including confounding, statistical interactions, model selection, model fit, and regression diagnostics, in fitting and evaluating statistical models.BIOS 6602
MPH-BIOS 4Apply scientific and statistical principles of sampling, bias, confounding, and sample size estimation to design or interpret basic public health or biomedical studies.BIOS 6623
MPH-BIOS 5Use computer software for data management (data entry, access, and data manipulations), as well as for summarizing, analyzing and displaying research results.BIOS 6680
MPH-BIOS 6Use the principles of hypothesis testing and estimation for population parameters to draw inferences from quantitative data and communicate orally and in writing those inferences and their statistical and scientific interpretation to non-statistical scientists.BIOS 6623

Adding an emphasis in global health


The MPH in Applied Biostatistics + Global Health is a 45-credit-hour program that's designed to provide you with a public health perspective of globalization and global health issues. As a student in this program, you'll gain the skills you need to apply public health methods to address global challenges. As part of the MPH program, students are required to complete the core program curriculum including practicum and capstone projects. Capstone projects should incorporate applied biostatistics and a global component.

Total credits: 45

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