Harvey Mudd College

What you'll study

The Mathematics and Computer Science programme at Harvey Mudd blends core topics from both disciplines to give students a deep theoretical grounding alongside hands‑on experience. The curriculum typically includes foundational mathematics (calculus, linear algebra, real analysis), discrete mathematics and proof techniques, probability and statistics, and core computer science courses such as data structures and algorithms, computer systems and architecture, programming languages, and theory of computation.

Students also take laboratory and project courses that emphasise software design, testing and engineering practice, and work with contemporary tools and languages. Electives allow specialisation in areas such as machine learning and data science, cryptography, numerical analysis, computational geometry, parallel and distributed systems, human‑computer interaction, and scientific computing. The programme culminates in substantial capstone work—often a senior thesis or major project—where students undertake independent research or a team engineering project, frequently in collaboration with faculty or as part of Harvey Mudd’s Clinic and research programmes.

Typical modules and activities

• Calculus sequence and multivariable calculus
• Linear Algebra and Matrix Theory
• Introduction to Proofs / Real Analysis
• Discrete Mathematics and Combinatorics
• Data Structures and Algorithms
• Computer Systems and Architecture
• Theory of Computation and Automata
• Probability, Statistics and Stochastic Processes
• Numerical Analysis and Scientific Computing
• Software Engineering and Capstone Project / Senior Thesis

Entry requirements

Harvey Mudd seeks applicants with strong preparation in mathematics and science. Successful candidates typically present a rigorous high‑school curriculum including advanced mathematics (calculus, if available) and evidence of quantitative aptitude. Prior programming experience is helpful but not strictly required; applicants are expected to demonstrate problem‑solving skills and intellectual curiosity through transcripts, recommendations, and written materials.

Admissions decisions consider the whole application—academic record, teacher recommendations (often including a mathematics or science teacher), personal essays that explain motivations and interests, and, where applicable, results from standardised testing according to the college’s current policies. Transfer applicants should show collegiate coursework in relevant mathematics and computing subjects and a record of strong performance.

Career prospects

Graduates with a Mathematics and Computer Science degree from Harvey Mudd are well prepared for a wide range of careers that value rigorous quantitative thinking and software development skills. Common early career roles include software engineer, data scientist or analyst, systems programmer, machine learning engineer, and quantitative analyst in finance or technology sectors.

Alumni also move into specialised areas such as cryptography, computational biology, robotics, scientific computing and cybersecurity, or pursue graduate study in computer science, mathematics, statistics, engineering, or related fields. Harvey Mudd’s emphasis on research, teamwork and communication prepares students for roles that combine technical leadership with collaboration and problem framing.

Why study at Harvey Mudd College

Harvey Mudd offers a STEM‑focused liberal arts education with small class sizes, close faculty mentorship and a strong emphasis on undergraduate research. The college’s curricular structure encourages cross‑disciplinary work and hands‑on learning through laboratories, a senior thesis or major project, and clinic or internship opportunities that connect students with industry and research labs.

Students benefit from an engaged peer community of motivated STEM students, accessible faculty who are active researchers and teachers, and support services that help translate academic work into internships and careers. The college’s networks and career development resources help graduates transition to both industry positions and competitive graduate programmes.