MPS in Applied Machine Intelligence
Our Master of Professional Studies in Applied Machine Intelligence is a multi-disciplinary, experience-based program that prepares students to innovate within the rapidly growing field of artificial intelligence. Through courses and projects that focus on applied machine learning, artificial intelligence, data management, data analysis, and data visualization, students learn to address business issues in any industry.
Northeastern’s Experiential Network (XN) forms an integral part of the Applied Machine Intelligence degree. Through this network, students take on in-class projects that partner them with businesses around the world—including Google, AWS, Deloitte, Samsung, Dell, Uber, and more—to solve pressing challenges with AI and other technology. XN projects teach students how to collaborate, communicate, ask meaningful questions, and effectively solve problems while demonstrating to employers that they have the technical skills necessary to succeed. This type of experience is particularly valuable within the AI field, as candidates with advanced technical skills have become increasingly difficult to find.
Our Master of Professional Studies in Applied Machine Intelligence is a multi-disciplinary, experience-based program that prepares students to innovate within the rapidly growing field of artificial intelligence. Through courses and projects that focus on applied machine learning, artificial intelligence, data management, data analysis, and data visualization, students learn to address business issues in any industry.
Northeastern’s Experiential Network (XN) forms an integral part of the Applied Machine Intelligence degree. Through this network, students take on in-class projects that partner them with businesses around the world—including Google, AWS, Deloitte, Samsung, Dell, Uber, and more—to solve pressing challenges with AI and other technology. XN projects teach students how to collaborate, communicate, ask meaningful questions, and effectively solve problems while demonstrating to employers that they have the technical skills necessary to succeed. This type of experience is particularly valuable within the AI field, as candidates with advanced technical skills have become increasingly difficult to find.
