Science & Social Sciences
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MicroMasters® Program in Statistics and Data Science

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Course Features

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Duration

14 months

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Advanced

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Effort

14 hours per week

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Teaching Type

Self Paced

Course Description

The demand for data and analytics professionals is growing rapidly. According to the U.S. Bureau of Labor Statistics, data science skills will drive a 27.9% increase in employment through 2026. Because they can solve complex problems with data and make important decisions, data scientists are valuable to all industries. There is a lot of demand for data scientists. However, 39% of the most challenging positions in data science require a bachelor’.

The MicroMasters program is made up of four online courses and an exam. It will give you the foundational knowledge necessary to understand the tools and methods used in data science and provide hands-on training in machine learning and data analysis. This course will cover the basics of statistics and probability, as well as how to implement and test machine learning algorithms and data analysis techniques. This program will help you become a skilled and knowledgeable practitioner of data science that adds value to your organization. For admitted students, the program certificate can be used towards a PhD (Social and Engineering Systems) at the MIT Institute for Data, Systems and Society (IDSS). It may also accelerate your path to a Master degree at other universities around.

This MicroMasters program is open to anyone. This program is for those who want to get advanced and rigorous training in data sciences without having to leave their job. However, it does not compromise on quality. If you are looking to excel, college-level calculus is required. The courses are taught at the same pace and with the same level of rigor that MIT's on-campus courses. This program offers MIT’, MIT's rigorous, high-quality curricula with a hands-on learning approach for learners around the globe – at large.

Course Overview

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International Faculty

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Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

Master the foundations of data science, statistics, and machine learning

Analyze big data and make data-driven predictions through probabilistic modeling and statistical inference; identify and deploy appropriate modeling and methodologies in order to extract meaningful information for decision making

Develop and build machine learning algorithms to extract meaningful information from seemingly unstructured data; learn popular unsupervised learning methods, including clustering methodologies and supervised methods such as deep neural networks

Finishing this MicroMasters program will prepare you for job titles such as: Data Scientist, Data Analyst, Business Intelligence Analyst, Systems Analyst, Data Engineer

Course Instructors

Jimmy Li

Teaching Assistant

Jimmy Li received his PhD from MIT's Department of Electrical Engineering and Computer Science. His research focused on applying the tools taught in this and related courses to problems in marketing....

Jagdish Ramakrishnan

Teaching Assistant

Jagdish Ramakrishnan received his PhD from MIT's Department of Electrical Engineering and Computer Science. His dissertation focused on optimizing the delivery of radiation therapy cancer treatments ...

Katie Szeto

Teaching Assistant

Katie Szeto received her Bachelor and Master of Engineering degrees from MIT. Her Master's thesis explored applications of probabilistic rank aggregation algorithms. Katie took 6.041x/6.431x with Pro...

Kuang Xu

Teaching Assistant

Kuang Xu received his PhD from MIT's Department of Electrical Engineering and Computer Science. His research focused on the design and performance analysis of large-scale networks, such as data cente...
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