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  1. Carnegie Mellon University's online, graduate-level certificate programs are offered by various departments across the university. All courses are taught by world-class CMU faculty and feature a rich, interactive online experience with weekly live-online classes and flexible learning activities.

  2. 145 courses. Health. 471 courses. Math and Logic. 70 courses. Personal Development. 137 courses. Physical Science and Engineering. 413 courses. Social Sciences. 401 courses. Language Learning. 150 courses. Learn online and earn valuable credentials from top universities like Yale, Michigan, Stanford, and leading companies like Google and IBM.

  3. You’ll experience the same in-depth education as students who take the program on campus, but you’ll have the flexibility to take classes from anywhere, earning a single certificate or stacking all iii Online certificates to earn your master's degree — 100% online.

  4. Designed with the working professional in mind, our online programs offer a flexible learning structure that allows you to go to school and continue to work full time. The stackable online certificates are offered on a rotational schedule, while students can start the MIIPS Online degree every semester.

  5. Machine Learning: Fundamentals and Algorithms, an online program offered by Carnegie Mellon Universitys School of Computer Science Executive Education, provides you with the technical knowledge and analytical methods that will prepare you for the next generation of innovation.

  6. Home. Get to Know OLI. See Our Open + Free Courses. No Instructors, No Credits, No Charge. Many college and universities around the world are using our courses and unique learning platform—and now you can too! You can access course materials at no cost to you and work at your own pace.

  7. Open & Free features. Description. Probability & Statistics introduces students to the basic concepts and logic of statistical reasoning and gives the students introductory-level practical ability to choose, generate, and properly interpret appropriate descriptive and inferential methods.