Harvard University’s computer science requirements are designed to provide a rigorous foundation in computational thinking, algorithmic design, and software engineering. For incoming students, understanding these expectations early removes uncertainty and supports confident academic planning.
Core Curriculum and Distribution Requirements
All undergraduates at Harvard must complete the General Education requirements, which include coursework in aesthetic and interpretive understanding, ethics and civilization, empirical and mathematical reasoning, and science and engineering. Within this framework, computer science courses often satisfy the empirical and mathematical reasoning area, depending on the specific class and its focus.
The college does not mandate a double major or a minor, yet many students choose to combine computer science with fields such as economics, mathematics, biology, or psychology. This flexibility encourages intellectually diverse programs while ensuring that core computer science competencies are maintained through required prerequisite sequences.
Prerequisite Coursework and Placement
Entry-Level Preparation
Students typically begin with an introductory programming course, such as CS 50, which assumes no prior experience and teaches problem solving using a modern language like Python. For those with previous coding experience, a placement exam or diagnostic quiz can place them into accelerated tracks, allowing them to skip foundational material and advance to data structures and algorithms more quickly.
Mathematical Foundations
Comfort with discrete mathematics, logic, and basic probability is essential. Courses in calculus and linear algebra are recommended, especially for students interested in machine learning, graphics, or theoretical computer science. These mathematical tools underpin complexity analysis, cryptographic protocols, and probabilistic algorithms.
Major Requirements and Advanced Topics
The computer science major requires a sequence of core courses covering algorithms, systems, programming languages, and theoretical foundations. Upper-level offerings include operating systems, database systems, artificial intelligence, and formal methods, each emphasizing both design principles and practical implementation using contemporary tools.
Research, Labs, and Experiential Learning
Beyond coursework, Harvard encourages hands-on research, independent projects, and internships. The CS department supports undergraduate research opportunities, hackathons, and collaborations with faculty, enabling students to apply theoretical knowledge to real-world problems in healthcare, security, and scalable software design.
Career Outcomes and Academic Planning
Graduates with a Harvard computer science background enter roles in software engineering, product management, data science, and research at leading technology firms and startups. Academic advisors help tailor course plans to meet both graduation requirements and long-term career goals, ensuring that each student builds a coherent and marketable skill set.
