Carnegie Mellon University

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Machine Learning & Data Science Foundations
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Artificial intelligence is transforming how all industries and organizations operate. Now more than ever, there is an increasing demand for data scientists and engineers who can understand and implement machine learning technology. To gain insights from massive data sets, drive efficiency, create technological advancements, and win in the marketplace, organizations need data professionals who can develop powerful algorithms and intelligent machines. 

Offered by CMU’s School of Computer Science, one of the nation’s top universities for learning computational data science, the Machine Learning & Data Science Foundations online graduate certificate equips students with the requisite AI skills to solve real, large-scale data problems across various industries.

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Program Details

learn-online-reverse.png    100% Online

program-duration-reverse.png    12 Months

coe-faculty-reverse.png    Taught by CMU's School of Computer Science Faculty

Learning Outcomes

check-box-white.png   Master key data science techniques

check-box-white.png   Develop practical problem-solving skills

check-box-white.png   Build AI and Machine Learning models

This elite certificate is best suited for: 

  • Industry Professionals looking to deliver value to companies by acquiring in-demand data science, AI, and machine learning skills. After completing the program, participants will acquire the technical know-how to build machine learning models as well as the ability to analyze trends.
  • Recent computer science degree graduates seeking to expand their skill set and become even more marketable in a growing field. Over the past few years, data sets have grown tremendously. Today’s top companies need data science professionals who can leverage machine learning technology.  

Meet Our World-Class Faculty

Dr. Carolyn RoséDr. Carolyn Rosé

Professor of Language Technologies and Human-Computer Interaction

Education: Ph.D., Carnegie Mellon University

Research Focus: to better understand the social and pragmatic nature of conversation and to build computational systems that improve the efficacy of conversation between people, and between people and computers by using approaches from computational discourse analysis and text mining, conversational agents, and computer-supported collaborative learning. 

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The Graduate Certificate in Machine Learning & Data Science Foundations is offered by the Language Technologies Institute (LTI) at CMU, which is housed within the highly-ranked School of Computer Science (SCS). SCS faculty are esteemed in their field, and many of them have collaborated on critical projects that have paved the way for future discoveries in artificial intelligence. Check out some of their work below:

autonomous driving

Researchers from CMU’s Robotics Institute completed a long-distance autonomous driving test in 1995 called the No Hands Across America mission.

football field

In 2001, SCS Founders University Professor Takeo Kanade and his team created a video replay system called EyeVision for Super Bowl XXXV.

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In 2007, Faculty Emeritus William “Red” Whittaker led CMU’s Tartan Racing team to victory in the DARPA’s Grand Challenge.

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Assistant Research Professor László Jeni used computer vision technology to create a facial recognition tool that can help people with visual impairment.