Computer Science and Mathematics
The Bachelor of Arts in Computer Science and Mathematics provides a rigorous academic foundation that blends computational thinking with advanced mathematical reasoning. Students explore fundamental programming concepts, algorithmic structures, data representation, and machine logic while simultaneously building a deep understanding of the mathematical principles that support modern computing. The curriculum emphasizes problem-solving, formal analysis, and quantitative modeling, enabling learners to approach complex computational systems with confidence. Through this integrated structure, students develop analytical precision, computational fluency, mathematical depth, and theoretical clarity, preparing them for both academic and applied challenges.
Over four years, the program expands students’ mastery of core mathematical disciplines—such as calculus, linear algebra, and discrete mathematics—while introducing advanced computing topics including machine learning, software design, data structures, and optimization. Students engage in hands-on projects, research-driven assignments, and collaborative work that strengthens their ability to design efficient algorithms, interpret computational outputs, and evaluate mathematical proofs. This long-term engagement with both fields fosters methodological rigor, problem-solving accuracy, logical reasoning, and research competence, equipping graduates with the intellectual versatility required to operate confidently in data-intensive, technologically advanced environments.
Key information
Key Facts
- Program Title: Computer Science and Mathematics
- Degree Type: Bachelor of Arts
- Duration: 4 years
- Mode of Study: Full-time, On Campus
- Application Deadline: 02 January 2026
- Location: Yale University, United States
- Field of Study: Mathematics
- Language of Instruction: English
Program Structure
Year 1 – Foundations in Computing & Mathematics
· Introduction to Programming
· Calculus I and II
· Discrete Mathematics
· Fundamental Concepts in Computer Science
Year 2 – Core Analytical & Computational Methods
· Data Structures and Algorithms
· Linear Algebra
· Probability and Mathematical Reasoning
· Computer Systems and Architecture
Year 3 – Advanced Mathematical & Computing Topics
· Theory of Computation
· Machine Learning or Artificial Intelligence
· Numerical Methods and Optimization
· Independent Study / Research Project
Year 4 – Thesis & Professional Preparation
· Senior Thesis / Computational Research Project
· Advanced Seminar in Mathematical Computing
· Software Engineering or Advanced Algorithms
· Academic Portfolio & Presentation Skills
Career Opportunities
Graduates of this program enter a broad range of fields that require strong analytical thinking, mathematical modeling, and computational expertise. Many secure positions within technology companies, financial analytics firms, research laboratories, and engineering organizations, contributing to software development, algorithm design, data science, and quantitative modeling. Additional opportunities arise in cybersecurity, academia, artificial intelligence, consulting, and governmental sectors where mathematical accuracy and computational insight guide strategic decision-making. With training in rigorous proof techniques, computational logic, and advanced modeling, graduates are prepared to evaluate complex datasets, optimize technological systems, and collaborate on interdisciplinary projects. These skills enable them to contribute meaningfully to environments that rely on precise mathematical reasoning and innovative computational solutions.
Why Choose This Program
This program appeals to students seeking an education grounded in integrated mathematical computing, offering a structured pathway that unites theoretical depth with practical application. Throughout four years of study, learners enhance their abilities in algorithmic thinking, quantitative reasoning, and computational experimentation through seminars, hands-on projects, and research-oriented coursework. The curriculum supports students in developing industry-relevant expertise that prepares them for competitive career paths or advanced study in mathematics, computer science, or related technical fields. With an emphasis on problem-solving rigor, interdisciplinary exploration, and computational design, the program nurtures strong analytical judgment, equipping graduates to contribute confidently to rapidly evolving technological and mathematical landscapes.
Contact Information
For further information, please contact the admissions office at:
Phone: +1 203 432 2300
Email: admissions@yale.edu
Address: University of Yale, New Haven, CT 06520, United States
