How does the undergraduate workload at Carnegie Mellon compare with MIT?

For an undergraduate focused on computer science, Carnegie Mellon is likely to feel more consistently demanding and CS-centered than MIT, while MIT is equally rigorous but often offers more room to explore across fields. CMU’s School of Computer Science has a tightly sequenced core that begins with substantial programming and mathematical work and keeps many students in a steady cycle of projects, debugging, exams, and team assignments. MIT’s computer science curriculum is also famously intense, especially in algorithms, systems, theory, and math, but students typically have more flexibility to combine it with other academic interests.

At CMU, the workload can feel especially continuous because foundational courses such as introductory programming, data structures, discrete math, systems, and later project-based classes build directly on one another. Students commonly spend significant unscheduled time in labs, office hours, group meetings, and revising code. The culture can be highly collaborative, but the concentration of serious CS students means the baseline pace is fast.

MIT’s workload is often organized around demanding problem sets, exams, labs, and open-ended technical assignments. Its first-year grading policies can make the initial transition less punitive, even though the work itself remains challenging. MIT also has a strong hands-on, problem-solving culture through labs, research groups, and student projects, so an ambitious CS student can make the workload as heavy as at CMU.