Founded in 1979, the Department of Computer Science at Boston University’s Metropolitan College (BU MET) brings together faculty renowned for both scholarly achievements and industry experience. BU MET’s computer information systems programs are designed for students seeking to combine strong technical skills with an understanding of organizational and management issues in IT. Here, you will gain vital expertise in key areas like database design, data communications, systems analysis, and software development, while exploring emerging technologies. The program prepares you for IT leadership and artificial intelligence-integrated positions in growing fields such as data analytics, cybersecurity, web application development, IT project management, computer networks, and health informatics. Learning from accomplished faculty who are leaders in their disciplines, you’ll develop the knowledge and practical skills needed to advance or shift your career in today’s fast-evolving technology environment.

Recent News

Is an Online MPH Worth It? Career Value, Flexibility, and Employer Tuition Support

For working professionals, the return on an MPH includes more than a salary. Career scope, continued employment while studying, and available tuition benefits all affect the calculation. A master’s degree is a significant investment of time and money, which is exactly why so many people ask whether an online MPH is worth it. For working […]
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The Social Compiler: How BU's Online MBA Builds Real Bonds in a Virtual Classroom

At a recent commencement for Boston University’s Online MBA, around 350 graduates gathered in person after spending much of the program learning together online. By the end of the ceremony, more than 300 were in tears. One graduate spoke about losing family members while completing the program and about what her cohort had meant to […]
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What If the Robot Lies? Why BU’s Online AI Degrees Teach Foundations, Not Just Tools

AI systems can produce persuasive answers that are incomplete, misleading, or wrong. Boston University faculty member Jeffrey Considine explains why professionals need to understand how these systems work before trusting what they say. When AI tells us what we want to hear What happens when an AI system gives a confident answer that is wrong? […]
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