MicroMasters Program in Statistics and Data Science Basics

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Statistics and Data Science FAQ

What is the MITx MicroMasters program credential in Statistics and Data Science?

From probability and statistics to data analysis and machine learning, master the skills needed to solve complex challenges with data. This program is composed of three core courses, plus one of two electives, developed by faculty at MIT and administered by Institute for Data, Systems, and Society.

The MITx MicroMasters program credential consists of four intensive online courses, consisting of three core courses and one elective, which provide learners with both foundational knowledge essential to understanding methods and tools used in data science and with hands-on practice. Students will practice implementing and experimenting with data analysis techniques and machine learning algorithms. After students complete these four courses there is one virtually-proctored Capstone Exam to complete the program and earn the credential.

It is important to note that the MicroMasters program is NOT a degree-granting program, nor is it a guarantee of admissions to MIT or to any of the IDSS graduate programs. It is a separate stand-alone professional certificate offered by MITx and delivered by edX. Read more or enroll on edX here.

What are the four online courses required for the MITx MicroMasters Program Credential in Statistics and Data Science?

There are four online courses, consisting of three core courses and one elective, and a Capstone Exam required to complete the MITx MicroMasters program credential in Statistics and Data Science.

Core courses:

  • 6.431x Probability - The Science of Uncertainty and Data
  • 6.86x Machine Learning with Python: from Linear Models to Deep Learning
  • 18.6501x Fundamentals of Statistics

Electives in Data Analysis

  • 6.419x Data Analysis: Statistical Modeling and Computation in Applications
  • 14.310x/14.310Fx- Data Analysis in Social Science. This course consists of 2 parts: the content course 14.310x Data Analysis for Social Scientists and its SDS Exam: 14.310Fx Data Analysis in Social Sciences–Assessing your Knowledge. This course does NOT require probability as prerequisite. For more information on the setup of this course, please view the enrollment logistics video.

To be eligible for the MicroMasters program credential, you must earn a Verified Certificate in each course and pass the comprehensive exam. Read more about verification here.

How are the courses delivered?

All courses are pre-recorded. Lessons are released according to a calendar specific to each course. The calendar will be posted at the beginning of each course. Students can work through the course content on their own schedule after it has been released. Please note some assignments have strict deadlines and work will not be accepted after that deadline.

If you are uncertain of your ability to commit to a course schedule, enroll in the course on the audit track and the schedule will become available on the start date of the class. You can determine after the first class if you would like to upgrade to Verified Learner status once you are certain about your schedule. The deadline to become a Verified Learner for a course is four weeks after the start date of the course.

If you have never taken a course on edX you can try Demo_x

What is the current and upcoming schedule for courses?

Please view our upcoming dates page with 2021 MM SDS schedule

Dates for several courses in the 2022 SDS calendar are forthcoming.

What does the edX merger mean for this credential program

The edX platform is merging with 2U Inc. Our MIT course team that creates and delivers the content (the videos, problems, etc.) has not changed. All content will still come from MIT, remain at MIT standards, and be delivered by MIT course leads. Read the MIT News article here. To read more about the merger visit: https://www.transformingdigitaleducation.com/

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