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.

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How to Choose the Right Master's in AI for a Business Career

Search for a master’s in AI right now and you’ll get three very different degrees in the same list: deep technical programs for engineers, data science degrees built around statistics and modeling, and a newer category aimed at the professionals making AI work inside organizations. They may look adjacent on a search results page, but […]
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What Is an AI Software Engineer? Role, Skills, and Career Path

An AI software engineer is a specialized developer who designs, builds, and deploys applications powered by machine learning, artificial intelligence, and generative AI. The key difference between traditional software engineers and AI software engineers lies in how they build applications. While software engineers rely on explicit logic and predefined code structures, AI software engineers construct […]
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What Is MLOps? A Beginner's Guide for Software Engineers

MLOps, or machine learning operations, is a set of practices that functions as an assembly line for building, deploying, and running machine learning (ML) models at scale. By fostering collaboration between data scientists, software engineers, and IT teams, MLOps enables organizations to automate machine learning workflows and deploy ML models efficiently across production environments. The […]
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