Quick Summary: Two BU Degrees, Two Great-Fit Audiences

• Best fit for working professionals: The Online MS in CS+AI is a 100% online, part-time-friendly experience built to help students advance without relocating or stepping away from work.
  It’s 30 units and commonly completed in 4 semesters, with a total tuition of $25,000.
• Best fit for an in-person cohort and broader course choice: The on-campus MS in CS is a residential experience with a wide-ranging curriculum, classroom community, and opportunities to tailor electives.
  It requires eight CS courses (32 credits) and includes structured breadth requirements across core CS areas.
• Important note for international students: Many F-1 graduates of eligible U.S. STEM programs may qualify for up to a 24-month STEM OPT extension after post-completion OPT, supporting the ability to work in the U.S. after graduation.
  (Always confirm eligibility and timing with BU’s international student advising and official U.S. government guidance.)

Format and Learning Experience

Online MS in Computer Science & Artificial Intelligence (CS+AI): Designed for Flexibility

BU’s Online MS in CS+AI is built for students who need a rigorous graduate experience that fits around professional and personal responsibilities.
The program is 100% online with no in-person requirements, and it can completed in four semesters of part-time study.
The structure emphasizes momentum and real-world progress—without requiring a move to Boston.

A distinctive feature is that the curriculum is project-based and not exam-based, supporting learners who want tangible outcomes they can discuss in interviews and apply at work. The program includes two short preparatory bootcamps that help students refresh key background skills (e.g., Python, ML fundamentals, systems tooling).

On-Campus MS in Computer Science: In-Person Community and Classroom Engagement

BU’s residential MS in CS is a classic graduate program experience: you learn alongside a cohort, engage faculty in person, and build community through the day-to-day rhythm of campus life. The program description emphasizes both practical and theoretical foundations, with students developing the skills to research technical literature, solve complex design and implementation challenges, and (optionally) pursue a thesis.

If you value face-to-face discussion, group work that happens naturally outside class, and the energy of being surrounded by other graduate students in Boston, the on-campus program can be a powerful fit.

Curriculum: What You’ll Study (and How It’s Structured)

Online CS+AI: A Structured, Modern CS Foundation with Applied AI + Systems

The online MS in CS+AI requires 30 units (10 modules), often completed over 4 semesters.
Students move through two parallel tracks—Artificial Intelligence and Systems—taking one module from each track per semester.
The design intentionally blends core AI capability with the systems skills needed to build and run real software in production.

Examples of what the online curriculum explicitly covers include:

• AI foundations and applied machine learning (including hands-on work with modern libraries)
• Generative models (including core architectures and practical implementation considerations)
• Deployment, MLOps, monitoring, data engineering, and responsible innovation
• Foundations of programming and systems (networking, concurrency, data management)
• Cloud computing (virtualization, containerization, orchestration, infrastructure design)
• Scalable data analytics systems (distributed pipelines, fault tolerance, reliability)
• GPU computing for data and cloud applications
• Industry speaker series and a capstone that builds toward a complete language model pipeline

Put simply: the online path is ideal if you want a guided route to “builder” capability—CS foundations plus modern AI and the engineering systems around it—within a predictable, working-professional-friendly structure.

On-Campus MS in CS: Breadth + Electives (and Optional Thesis)

BU’s on-campus MS in CS requires eight CS courses (32 credits).
Five of those courses fulfill the program’s breadth requirements, with at least one course in each of:
Theory, Systems, Software, and Applications.
The remaining courses can be selected from graduate-level CS offerings based on your interests.

If you’re drawn to a broader menu of course options—and you want the freedom to build a more customized program that can lean deeper into theory, systems, applications, or research—the on-campus track is designed to support that.
Students may also pursue an optional research-based thesis, an appealing option if you’re considering research-heavy roles or future doctoral study.

Time to Complete and Pace

Online CS+AI: A Clear Path to Completion (Often Four Semesters)

The online CS+AI program is commonly completed in four semesters of part-time study.
For many working professionals, a predictable structure matters: you can plan around work travel, family schedules, and career milestones while maintaining steady progress toward the degree.

On-Campus MS in CS: More Flexibility in Course Selection

With eight courses (32 credits), the residential MS in CS can offer more latitude in how you sequence requirements and electives.
Many students use that flexibility to explore additional areas, participate in campus opportunities, or pursue a thesis – choices that can deepen the experience.

Cost, Relocation, and Opportunity Cost

Online CS+AI: $25,000 Tuition and No Need to Relocate

The online MS in CS+AI has a published total tuition of $25,000 and is designed so students can continue working while they earn the degree.
For many learners, that combination—price transparency plus the ability to keep earning—dramatically reduces the “opportunity cost” of graduate school.

Because it’s fully online, students do not need to relocate to Massachusetts, which can be an important factor for professionals with established careers, family commitments, or geographic constraints.

On-Campus MS in CS: The Value of the In-Person Experience

The residential experience can offer meaningful value beyond coursework: peer community, faculty access, campus events, and the day-to-day network effects of being in Boston.
For learners who want that immersive academic environment, the in-person path may be well worth it.

STEM OPT and Post-Graduation Work Options (Especially for International Students)

If you are an international student considering study in the U.S., post-graduation work authorization is often a key part of the decision.
U.S. government guidance notes that eligible F-1 students with STEM degrees may apply for a 24-month STEM OPT extension (in addition to post-completion OPT), which can support multiple years of work experience after graduation.

Because eligibility depends on multiple factors (degree details, timing, employer participation, and government rules), it’s important to confirm specifics through BU’s official advising channels and the relevant U.S. government resources.

How to Choose: A Simple Decision Framework

Choose the Online MS in CS+AI if you want:

• A 100% online format with no in-person requirements
• A structured path that’s commonly finished in four semesters
• A curriculum designed to connect AI + systems skills for real-world implementation
• Project-based learning that builds portfolio-ready outcomes
• A program that supports career growth without pausing your job or relocating

Choose the On-Campus MS in CS if you want:

• An in-person cohort and the community that comes with being on campus
• A wide range of course options and a customizable elective experience
• Structured breadth across theory, systems, software, and applications
• The option to pursue a research-based thesis
• A U.S.-based experience that may align well with post-graduation work pathways such as STEM OPT (for eligible students)

Next Step: Learn More About BU’s Programs

• Online MS in Computer Science & Artificial Intelligence (Department of Computer Science)
• Online MS in CS+AI (BU Online program page)
• On-Campus MS in Computer Science (Residential)

Whichever path you choose, the goal is the same: build advanced computer science capability that helps you create impact.
The best choice is the one that fits your life, your learning style, and the career outcome you’re pursuing.