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Asynchronous learning allows you to study on your own schedule, within a certain timeframe. You can access learning materials and complete tasks at any time during a one- or two-week period.

Synchronous learning means that you will virtually attend a class session each week, at the same time as your instructor and classmates.

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Statistics and Data Science

Program description

This MicroMasters program in Statistics and Data Science is comprised of four online courses and a virtually proctore…

This MicroMasters program in Statistics and Data Science is comprised of four online courses and a virtually proctored exam that will provide you with the foundational knowledge essential to understanding the methods and tools used in data science, and hands-on training in data analysis and machine learning. You will dive into the fundamentals of probability and statistics, as well as learn, implement, and experiment with data analysis techniques and machine learning algorithms. This program will prepare you to become an informed and effective practitioner of data science who adds value to an organization. The program certificate can be applied, for admitted students, towards a PhD in Social and Engineering Systems (SES) through the MIT Institute for Data, Systems, and Society (IDSS) or may accelerate your path towards a Master’s degree at other universities around the world.

Requirements

No requirements, anyone interested can apply.

Program duration
1 year 2 months
Program Intakes
Anytime
Online Study Mode
Asynchronous
Tuition Fees
$1 350 for the full program experience