There is no formal enrollment in the MicroMasters program credential. Instead, you should enroll for free in each individual course as your schedule permits. Course enrollments are open to anyone, anywhere with an internet connection. There are no pre-requisites or undergraduate degrees required to enroll. Given that these are graduate-level, analytical courses, we suggest you have a grasp of algebra, probability, and statistical concepts, along with curiosity and the willingness to learn. Please see below this article for suggested preparation courses for these concepts. Key Concepts taught in the courses are available here (pdf download).
In order to complete the credential, you do need to enroll as a verified learner in each of the courses and the comprehensive final exam (CFx). You can do so by visiting each edX course page and clicking "Enroll", then following the system prompts to make your payment and verify.
In our courses, the deadline to pay the course fee to Verify is at the end of the third week of each course (except for SC0x). Read more about course verification on edX here.
You may also Verify to pursue the entire MITx MicroMasters Program Credential in SCM program at one time within 24 months. Read more here.
Suggested Preparation Courses:
Please note, these courses are NOT required to pursue or earn the MicroMasters credential and they do NOT need to be taken as a paid, Verified Learner. No specific courses are required but certain knowledge and skills are prerequisites for the SDS MicroMasters program. Two different types of courses are available to provide this knowledge: courses offered on edX and courses offered on MIT Open Courseware. The edX courses are live, with live discussion forums and TA’s to answer questions. They are instructor-led and occur during specific runs of time. The OpenCourseWare(OCW) courses are archived, so they are self-paced and available at any time but do not offer live support such as discussion forums or support from TAs.
For learners without a strong knowledge of calculus:
For learners without a strong knowledge of linear algebra:
For learners without familiarity with statistics and probability concepts: