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Engineering

Certificate of Advanced Graduate Study in Artificial Intelligence at Northwestern University

Northwestern University, United States

Programme overview

Recent advances in and integrations of machine learning and artificial intelligence are significantly impacting the ways that data scientists build and program computer software, statistical models, and neural networks. Each of these areas is comprised of different analytical approaches; artificial intelligence utilizes rules-based, logic, and knowledge-based systems, while machine learning relies upon data-adaptive methods such as naïve Bayes models, nearest neighbor models, classification and regression trees, random forests, support vector machines, and neural networks. Data-adaptive models are the next step in the progression of modeling and analytics, from traditional statistics to data mining to machine learning, where computer software learns from data and makes traditional models more flexible.

Faculty: School of Professional Studies  |  Study mode: part-time  |  Intake: Fall, winter, spring and summer quarters  |  Location: Evanston, IL, United States

What you will study

Students are required to complete the following four courses to earn the certificate: MSDS 453 Natural Language Processing MSDS 458 Artificial Intelligence and Deep Learning Two of the three courses below: MSDS 459 Knowledge Engineering MSDS 462 Computer Vision MSDS 464 Software Robotics

Official programme page

Application information

Entry requirements

Applicants hold a U.S. master's degree from a regionally accredited institution or foreign equivalent. Application: online application, 300-550 word statement of purpose, resume, one letter of recommendation, official transcripts; some certificates require a writing sample. Applications are accepted each quarter (deadlines July 15, October 15, January 15, April 15).

Intake: Fall, winter, spring and summer quarters

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