BU Online MS in Software Engineering for Artificial Intelligence

Make a 16:9 promotional teaser of about 60 seconds for Boston University College of Engineering's Online Master of Science in Software Engineering for Artificial Intelligence, aimed at working professionals. Open on the gap between a prototype that works on a laptop and a system that runs reliably at scale. Contrast predictable traditional software with probabilistic software shaped by context, prompts, training data and model drift. Present the degree as the answer and state the essentials: 30 credits, about 16 months, 25,000 dollars in total tuition and a fully online format. Walk through the curriculum from core engineering foundations to scalable architectures and data systems to an end to end capstone on big data at scale. Name the career roles it prepares for, then close with a call to action noting that no GRE is required. Use an authoritative, warm narrator with cinematic visual storytelling and clear pacing.

Anyone can get an A I prototype working on a laptop. Making it run reliably, at scale, in the real world is a different discipline. Traditional software is predictable: the same input gives the same output. A I software is probabilistic, shaped by context, prompts, training data and model drift. Boston University College of Engineering built a degree for that gap. The Online Master of Science in Software Engineering for Artificial Intelligence. Thirty credits. As few as four semesters, approximately sixteen months. Twenty five thousand dollars in total tuition. Fully online, and designed for working professionals. You start with core engineering foundations. Then you move into scalable architectures and data systems. You finish with an end to end A I capstone, built on big data at scale. Graduates are prepared for roles like A I Software Engineer and Machine Learning Engineer. No G R E required. Visit our website, or email o m s e at b u dot e d u.