Foundations of Data Science - Online Graduate Certificate
For business innovators who want to become more confident, data-driven leaders in the workplace. Build foundational skills in data science, data analytics, and data visualization all from the comfort of your own home.
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Program Highlights
12 Months (3 Semesters)
Start in Fall, Spring, or Summer
5 Grad-Level Courses
Probability & Statistics
Statistical Modeling
Data Visualization
Data Science Computing Workflows
Capstone Experience
Delivered 100% Online
Via Zoom and Canvas LMS
Financing Options
Monthly Payment Plans
Partial Tuition Scholarships
G.I. Bill Eligible
Key Features
Taught Live-Online by CMU Faculty
in CMU’s Dietrich College of Humanities & Social Sciences, ranked #5 in the nation for their graduate statistics program.
Designed for Working Professionals
with weekly, live-online sessions in the evening (ET) and asynchronous coursework you can finish on your own time, at your own pace.
Engaging Educational Experiences
that go beyond recorded lectures. Active learning sessions will help you master key concepts so you can immediately apply them at work.
Guided by Experts. Preparing You for What's Next.
Meet Our World-Class Faculty
Dr. Peter Freeman
Associate Teaching Professor of Statistics & Data Science
Education: Ph.D., University of Chicago
Research Interests: Astrostatistics, Statistical Methods for the Physical Sciences, Statistical Pedagogy & Educational Research, Sports Analytics
Dr. Zach Branson
Assistant Teaching Professor of Statistics & Data Science
Education: Ph.D., Harvard University
Research Interests: Experimental Design, Causal Inference, Nonparametric Methods, Statistical Pedagogy & Educational Research, Foundations of Inference, Statistical Machine Learning
Dr. Ron Yurko
Assistant Teaching Professor of Statistics & Data Science
Education: Ph.D., Carnegie Mellon University
Research Interests: Sports Analytics, Natural Language Processing & Large Language Models, Biostatistics & Epidemiology, Public Policy & Social Sciences, Statistical Pedagogy & Educational Research, Statistical Machine Learning, High-Dimensional Statistics
Dr. Alex Reinhart
Associate Teaching Professor of Statistics & Data Science
Education: Ph.D., Carnegie Mellon University
Research Interests: Statistical Pedagogy & Educational Research, Natural Language Processing & Large Language Models, and Spatio-Temporal Data Analysis and Anomaly Detection Problems Motivated by Applications
Built for Your Busy Life. Designed to Make an Impact.
CMU’s Foundations of Data Science online graduate certificate offers the rigor of a graduate-level education with the flexibility you need to make strides in your career.
When you enroll in our certificate, you can expect:
- Evening, live-online sessions taught by CMU Dietrich College faculty
- Self-paced assignments to fit your schedule
- Real-time collaboration with a diverse network of peers
- Personalized support throughout your learning journey
Throughout the certificate, you will learn how to:
- Perform exploratory data analysis, create high-quality statistical graphs and communicate the ‘story behind the data’ to various stakeholders.
- Apply fundamental techniques in probability and statistical inference to real-life data analysis scenarios.
- Structure basic data pipelines with a modern coding language, and build, validate and interpret statistical models and algorithms.
- Build reproducible workflows that load, transform, and output data.
Want more details about the program? Request more info to connect with a Program Specialist. Or, if you're ready to apply, start your application today.