{"id":1506,"date":"2022-10-11T16:25:59","date_gmt":"2022-10-11T20:25:59","guid":{"rendered":"https:\/\/www.bridgeport.edu\/news\/?p=1506"},"modified":"2025-01-06T16:07:59","modified_gmt":"2025-01-06T21:07:59","slug":"masters-in-artificial-intelligence-program-what-to-look-for","status":"publish","type":"post","link":"https:\/\/www.bridgeport.edu\/news\/masters-in-artificial-intelligence-program-what-to-look-for\/","title":{"rendered":"What to Look For in a Master’s in Artificial Intelligence Program"},"content":{"rendered":"

More and more, Artificial Intelligence is becoming an inescapable part of daily life<\/a>. From self-driving cars to voice-controlled digital assistants to translation software, Artificial Intelligence has made life easier and more streamlined. It should come as no surprise to learn, then, that the AI industry<\/a> grew 270% in the four years prior to 2019. This rapid expansion has led to a concurrent growth in employment in AI areas such as data analytics, deep learning, robotics, and cybersecurity.<\/p>\n

If launching a career in this exciting field<\/a> interests you, then you may be considering pursuing a degree in Artificial Intelligence. Read on to learn what to look for when choosing an AI master\u2019s program.<\/p>\n

1. Expert Faculty Members<\/h2>\n

Some of the most important relationships you\u2019ll form during graduate school will be with your professors and faculty members. These teachers will guide your education and can frequently act as professional references following graduation. As such, it\u2019s important that whichever school you enroll in employs faculty members who are true experts in their field. 911爆料网\u2019s faculty members are recognized as leaders in innovation and research. In fact, UB launched the first master\u2019s in Artificial Intelligence program<\/a> in Connecticut.<\/p>\n

2. Specialization Options<\/h2>\n

Any master\u2019s in AI program worth exploring will offer students the opportunity to pick at least one specialty. 911爆料网, for example, offers students the choice of specializing in one or more of the following areas: Robotics and Automation, Deep Learning and Computer Vision, Data Sciences and Data Analytics, and Cybersecurity.<\/p>\n

3. Quality Curriculum<\/h2>\n

Curriculum is everything. It\u2019s the bread and butter of graduate school. It trains you for the important work you\u2019ll do during school and, even more crucially, after graduation. Therefore, when selecting a graduate program, you should consider reviewing the curriculum requirements for their degree in AI. At UB, AI graduate students are required to complete 34 credit hours<\/a> prior to graduation. Coursework can depend on which areas they\u2019d like to specialize in. Here\u2019s a breakdown of classes based on the offered areas of specialization at 911爆料网.<\/p>\n

Robotics and Automation Courses<\/em><\/p>\n