Quick facts
Program location: CU Anschutz
Credit hours: 42-45
Est. time to complete: 2 years
Option: Emphasis in global health
In this program, you'll focus more on the applied nature of biostatistics and less on the theory behind it. It's perfect for public health workers and individuals who want to strengthen their analytic skills and is particularly useful if you have a previous research degree or experience. As a student in this program, you’ll gain a strong understanding of programming and data management and learn how to navigate serving as a consultant on projects. And if your interests are bigger than what just one country can contain, we offer the option to add an emphasis in global health.
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
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.
Course requirement | Course ID | Credits |
Applied Biostatistics I | BIOS 6601 | 3 |
Epidemiology | EPID 6630 | 3 |
Social and Behavioral Factors in Health | CBHS 6610 | 3 |
Environmental & Occupational Health | EHOH 6614 | 3 |
Health Systems, Management & Policy | HSMP 6601 | 3 |
Foundations in Public Health | PUBH 6600 | 2 |
17 |
Course requirement | Course ID | Credits |
Applied Biostatistics II | BIOS 6602 | 3 |
Advanced Data Analysis | BIOS 6623 | 3 |
Sas Database Design and Management | BIOS 6680 | 3 |
Choose a minimum of three credits from the following courses: | ||
Practical Clinical Research Informatics | BIOS 6310 | 3 |
Statistical Consulting I | BIOS 6621 | 1 |
Statistical Consulting II | BIOS 6622 | 1 |
Latent Variable Methods | BIOS 6628 | 3 |
Applied Survival and Longitudinal Data Analysis | BIOS 6629 | 3 |
R in Data Science | BIOS 6640 | 3 |
Causal Analytics in Public Health | BIOS 6641 | 3 |
Intro to Python Programming | BIOS 6642 | 3 |
Practical Data Wrangling | BIOS 6644 | 2 |
Design and Conduct of Clinical Research | BIOS 6648 | 3 |
Intro to Public Health Informatics | BIOS 6685 | 3 |
12 |
Course requirement | Course ID | Credits |
---|---|---|
Electives | 9 |
Course requirement | Course ID | Credits |
---|---|---|
Practicum | PUBH 6606 | 2 |
Course requirement | Course ID | Credits |
Capstone Preparation | BIOS 6990 | 1 |
Capstone Integration | PUBH 6991 | 1 |
2 |
Identifier | Competencies |
MPH-BIOS 1 | Translate a study's scientific question or aims into testable statistical hypotheses and propose and apply appropriate statistical methods to test those hypotheses. |
MPH-BIOS 2 | Fit and interpret models for continuous outcome data (normal linear model), categorical outcome data (logistic regression), and time-to-event data (Cox regression). |
MPH-BIOS 3 | Apply concepts of multiple regression, including confounding, statistical interactions, model selection, model fit, and regression diagnostics, in fitting and evaluating statistical models. |
MPH-BIOS 4 | Apply scientific and statistical principles of sampling, bias, confounding, and sample size estimation to design or interpret basic public health or biomedical studies. |
MPH-BIOS 5 | Use computer software for data management (data entry, access, and data manipulations), as well as for summarizing, analyzing and displaying research results. |
MPH-BIOS 6 | Use 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. |
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.
Identifier | Competencies |
MPH GLH 1 | Describe contemporary and historic global health issues, programs, best practices and players. |
MPH GLH 2 | Critically analyze the political, economic, and ethical issues relevant to methods and contemporary issues in global health. |
MPH GLH 3 | Recommend data collection methods in a global context, taking into account unique resource and cultural aspects of the geographic setting. |
MPH GLH 4 | Apply concepts of global burden of disease, especially disability-adjusted life years, across national and international settings to address health challenges. |
MPH GLH 5 | Describe the geographic differences and connections between regions around the world and how they affect health. |
Course requirement | Course ID | Credits |
Public Health in the Global Community | CBHS 6619 | 3 |
Geographic Perspectives on Global Health | EHOH 6623 | 1 |
4 |
Course requirement | Course ID | Credits |
Global public health electives | 3-5 | |
Global biostatistics public health electives | | 3-5 |
8 |
CU Anschutz
Fitzsimons Building
13001 East 17th Place
3rd Floor
Mail Stop B119
Aurora, CO 80045