The tech landscape isn’t just changing; it’s being rebuilt around AI. BU’s new Online MS in Computer Science & AI is designed for those who don’t just want to watch the revolution—it’s for those who want to lead it.
Online MS in Computer Science & AI: At a Glance
Format: 100% online; structured asynchronous learning paired with scheduled live sessions, 30 credits completed through 10 modules
Timeframe: Designed to be completed in about 16 months (four sequential semesters)
Tuition: $25,000 total program tuition
Focus: Principles and applications of modern generative models, fundamentals of GPU programming, and operating large-scale data processing pipelines
Why Computer Science & Why Now
The “second coming of software”—as Amir Husain, founder of the ML company SparkCognition, told Business News Daily — isn’t a distant trend; it’s happening in your current tech stack. The fear for many developers is getting left behind by legacy systems. This program is the antidote, bridging the gap between traditional software foundations and the cutting-edge generative models defining the next decade.
What You Will Learn
Graduates will gain the skills to:
- Use and construct their own large language models (LLMs)
- Work with libraries such as scikit-learn and PyTorch
- Explore core architectures including recurrent neural networks
- Apply fundamentals of GPU programming and accelerated computing
- Construct and operate large-scale data processing pipelines
- Build a conceptual understanding of hardware optimization
This program emphasizes applied, project-based learning aligned with industry practice rather than traditional exams.
Who This Program Is Best Suited For
This isn’t just a credential; it’s a portfolio-builder. You won’t just pass exams; you’ll ship code. Whether you’re a Data Scientist looking to lead an AI division or a Software Engineer pivoting to MLOps, you’ll graduate with the tangible proof (and the BU pedigree) to secure a seat at the leadership table.
Applicants must hold a bachelor’s degree from an accredited university and have completed coursework in a related field such as computer science or physics. For questions about admissions and the application process, visit the BU Computer Science FAQs.
Typical Profiles:
- Computer Systems Analysts or Data Scientists seeking to integrate AI into modern systems and applications
- Data Systems Engineers strengthening their computer science foundation
- Cybersecurity Analysts or Cloud AI Architects
- Developers and engineers advancing into senior technical or leadership roles
Graduates leave the program with a portfolio of applied work that demonstrates their ability to design, build, and deploy advanced computing systems in real-world settings. The goal is to develop a technical skillset that supports long-term professional growth.
Learn more by attending a webinar or information session.
How to Tell if This Program Is the Right Fit
Choose Computer Science if you want to:
- Build a strong foundation in computer science
- Strengthen your technical and leadership skillset
- Future-proof your career in a rapidly evolving field
Enroll today or learn more at
www.bu.edu/online/degrees-certificates/
Explore BU’s AI Cluster
Boston University’s AI Cluster includes multiple online master’s programs developed across BU schools. Each serves a distinct pathway:
- Online MS in AI in Business: AI strategy, decision-making, and responsible adoption for business leaders
- Online MS in Software Engineering for Artificial Intelligence: Engineering practice for shipping AI-enabled software reliably
- Online MS in Enterprise AI: Enterprise-scale AI implementation—LLM applications, MLOps, governance, and enterprise transformation
- Online MS in AI and Education: Build AI-ready teaching and leadership skills.
Learn more about BU’s online MS AI cluster at
www.bu.edu/online/degrees-certificates/.