Santa Clara University

What you'll study

The degree integrates the mathematical theory that underpins modern computation with hands‑on computer science practice. You will typically progress through a sequence of core courses in calculus, linear algebra, discrete mathematics and probability, alongside foundational computer science topics such as data structures, algorithms, computer systems and software engineering.

• Mathematics core: calculus sequence, linear algebra, multivariable calculus, differential equations, real analysis and abstract algebra; applied streams may include numerical analysis, optimisation and probability & statistics.
• Computer science core: programming and data structures, algorithms, databases, operating systems, computer organisation and software engineering; theory courses such as automata, computability and complexity are also common.
• Advanced and elective options: machine learning, cryptography, computational geometry, scientific computing, data science, graphics, human‑computer interaction and cybersecurity—students can tailor study to theoretical, applied or interdisciplinary interests.
• Capstone and project work: a senior project or practicum provides experience in carrying a substantial team or individual software/mathematical project from design through implementation and evaluation.
• General education: as part of Santa Clara’s undergraduate curriculum you will also complete the university’s core curriculum, which develops communication, ethics, and broader liberal‑arts perspectives.

Entry requirements

Admission to Santa Clara University is selective and applicants to this combined programme should demonstrate strong preparation in secondary‑school mathematics and science. Competitive applicants typically present:

• High school coursework that includes calculus (or equivalent) and strong performance in mathematics.
• Some prior experience with programming or computer science (courses, personal projects, or coding extracurriculars are valued).
• Academic transcripts, a personal statement that explains interest in the joint field, and letters of recommendation; standardized test submission policies follow university guidelines.
• Transfer applicants should have completed college‑level calculus and at least one programming course; specific transfer credit evaluations are handled by the registrar and department.

Career prospects

Graduates combine analytical rigour with practical software skills, making them attractive to a wide range of employers. Common career paths include:

• Software engineer or developer in applications, systems, web and mobile environments.
• Data scientist, machine learning engineer or data analyst, applying statistical and computational techniques to real‑world datasets.
• Systems architect, cybersecurity analyst, or database administrator in enterprise and cloud environments.
• Quantitative or algorithm engineer roles in finance, technology and engineering firms.
• Research and academic careers, supported by preparation for graduate study in computer science, applied mathematics or related fields.

Why study at Santa Clara University

Santa Clara’s location in the heart of Silicon Valley gives students exceptional access to internship and employment opportunities with technology companies, startups and research labs. The university emphasises small class sizes and close faculty mentoring, allowing undergraduates to take part in research projects and to receive personalised guidance on capstone work and career planning.

• Industry connections: proximity to major tech employers and an active alumni network facilitate internships, practicum placements and recruitment.
• Undergraduate research & hands‑on learning: students can participate in faculty‑led research, design substantial capstone projects, and engage in collaborative, project‑based courses.
• Holistic education: the university’s core curriculum and Jesuit educational values emphasise ethical reasoning, communication skills and social responsibility alongside technical training.
• Support services: dedicated career services, coding labs, and student organisations help students build portfolios, prepare for interviews and transition into graduate study or the workforce.