The MS-DS on Coursera does not have an application. That means no transcripts, tests or application fees! Simply prove you can do the work and you are in.
There are no formal prerequisites for the MS-DS on Coursera. However, students should be knowledgeable in the following:
If you would like to brush up on your programming skills before starting the program, consider the following classes on Coursera:
Not sure if you are ready? Try reviewing courses on the Coursera platform. You can enroll in a pathway specialization as a non-credit learner, which gives you the option to preview course content. Then, you can upgrade to the for-credit version and pay tuition when you are ready.
Simply complete a pathway specialization to demonstrate your proficiency and be admitted to the program. Students are automatically admitted to the degree program after meeting all admission requirements below. All admitted students receive an official offer letter via email. See the MS-DS on Coursera Student Handbook for details.
A pathway specialization (or "pathway") is a series of three 1-credit courses with a focus on either statistics or computer science. The credits you earn for pathway courses are part of the required curriculum, so you make direct progress toward your degree as you complete your pathway. Choose one of the following pathways:
Data Science Foundations: Statistical Inference
Computer Science Pathway
Data Science Foundations: Data Structures and Algorithms
To get started, select and enroll in a pathway, pay your tuition, and complete your pathway with a 3.0 GPA or better to be admitted to the program.
Once you have enrolled in a pathway and paid your tuition, you will receive two emails from CU Boulder: one confirming your enrollment and one with information about your new CU Boulder email address and student ID, or IdentiKey. You will also receive an email from Coursera with instructions on how to create a Coursera account and/or link your Coursera account to your new CU Boulder account using your IdentiKey.