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Applied Mathematics - Computer Science
The Bachelor of Science in Applied Mathematics – Computer Science at Brown University is a four-year, full-time, on-campus program designed for students eager to explore the intersection of mathematical theory and computational practice. This interdisciplinary degree provides a strong foundation in algorithmic thinking, data structures, optimization, and statistical modeling, allowing students to develop robust problem-solving skills for analyzing complex systems and building efficient software solutions. The curriculum balances core mathematical concepts with modern computing techniques to equip students with a versatile academic toolkit.
Students gain experience in both theoretical analysis and hands-on development through coursework and research in areas like machine learning, numerical methods, and discrete mathematics. Collaborative projects, coding labs, and exposure to real-world applications help bridge the gap between abstraction and implementation. This program is especially suited for those interested in applying quantitative reasoning to fields such as artificial intelligence, computational biology, financial modeling, or operations research, while benefiting from Brown’s open curriculum to explore interdisciplinary connections.
Key information
Key Facts
- Program Title: Applied Mathematics - Computer Science
- Degree Type: Bachelor of Science
- Duration: 4 years
- Mode of Study: Full-time, On Campus
- Application Deadline: 05 January 2026
- Location: Brown University, United States
- Field of Study: Applied Mathematics
- Language of Instruction: English
Program Structure
Year 1 – Core Foundations
- Introduction to Computer Science
- Calculus and Linear Algebra
- Mathematical Structures and Proof
- Introduction to Applied Mathematics
Year 2 – Algorithms and Computation
- Data Structures and Algorithms
- Probability and Statistics
- Discrete Mathematics and Logic
- Software Systems Design
Year 3 – Modeling and Applications
- Numerical Methods or Scientific Computing
- Machine Learning or Artificial Intelligence
- Applied Optimization
- Elective: Computational Biology or Cryptography
Year 4 – Advanced Topics and Research
- Capstone Project in Applied Math – CS
- Seminar: Theory and Practice of Algorithms
- Research Methods in Mathematical Computing
- Elective: Stochastic Processes or Data Mining
Career Opportunities
Graduates of this program are well-equipped to thrive in roles requiring both computational proficiency and quantitative analysis. They are sought after in industries such as technology, finance, biotech, and engineering, where positions like data scientist, software engineer, quantitative analyst, or systems architect are common. Many also pursue graduate study in applied mathematics, computer science, or related fields. Others leverage their skills in startups, consulting, or government research labs where they contribute to complex decision-making, predictive modeling, and innovative product development. Employers value the blend of abstract reasoning and technical implementation that this program instills.
Why Choose This Program
This unique interdisciplinary degree blends the logical rigor of mathematics with the creative design of computer science, giving students the flexibility and depth to tackle modern challenges. At Brown, students benefit from a collaborative academic culture and the freedom to shape their learning through the open curriculum. The program emphasizes real-world applications while maintaining a strong theoretical base, and students have access to cutting-edge labs, faculty-led research, and industry partnerships. Whether aiming to work in machine learning, data science, or computational engineering, this degree delivers the precision, versatility, and innovation essential for a competitive and meaningful career.
Contact Information
For further information, please contact the admissions office at:
Phone: +1 401 863 1000
Email: admissions@brown.edu
Address: University of Brown, Providence, RI 02912, United States
