Mathematics with Computer Science
The Mathematics with Computer Science Bachelor of Science program offers a rigorous and integrated approach to developing strong analytical, quantitative, and computational skills. Students study the theoretical foundations of mathematics alongside the principles of computer science, enabling them to apply logical reasoning, algorithmic thinking, and problem-solving to a variety of scientific and technological challenges. The curriculum emphasizes connections between abstract mathematical concepts and practical computational applications, allowing learners to understand how formal methods and programming techniques can address complex problems across science, engineering, finance, and data-driven fields.
Throughout the program, students engage in coursework, research, and projects that foster both conceptual understanding and technical proficiency. They explore areas such as discrete mathematics, linear algebra, probability, and algorithms while gaining hands-on experience in programming, software development, and computational modeling. The interdisciplinary nature of the program encourages students to integrate mathematical insight with computational practice, preparing them for advanced research, technology-driven careers, or graduate study in mathematics, computer science, or related analytical fields. By combining theoretical rigor with practical implementation, graduates are well-positioned to tackle problems that require both analytical depth and computational expertise.
Key information
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Key Facts
- Program Title: Mathematics with Computer Science
- Degree Type: Bachelor of Science
- Duration: 4 years
- Mode of Study: Full-time, On Campus
- Application Deadline: 04 January 2026
- Location: Massachusetts Institute of Technology (MIT), United States
- Field of Study: Mathematics
- Language of Instruction: English
Program Structure
Year 1 – Foundations in Mathematics and Computing
• Calculus and Linear Algebra
• Introduction to Computer Science
• Discrete Mathematics
• Programming Fundamentals
Year 2 – Core Analytical and Computational Skills
• Probability and Statistics
• Data Structures and Algorithms
• Mathematical Proof and Logic
• Computer Systems and Software Engineering
Year 3 – Advanced Mathematics and Computational Methods
• Numerical Analysis and Optimization
• Theory of Computation
• Applied Algebra and Analysis
• Electives in Data Science, Artificial Intelligence, or Theoretical Mathematics
Year 4 – Integration, Specialization & Capstone
• Advanced Topics in Mathematics and Computing
• Computational Modeling and Simulation
• Capstone Research or Software Project
• Specialized Electives in Applied or Theoretical Areas
Career Opportunities
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Why Choose This Program
This program is ideal for students who want to combine strong mathematical foundations with practical computational abilities. The curriculum emphasizes critical thinking, analytical problem-solving, and hands-on experience with programming and computational modeling. Students benefit from collaborative projects, research opportunities, and exposure to interdisciplinary applications that connect theory with real-world challenges. By integrating mathematics with computer science, the program provides a robust academic pathway for careers or graduate studies in areas where both analytical depth and technical implementation are essential.
Contact Information
For further information, please contact the admissions office at:
Phone: +1 617-253-1000
Email: admissions@mit.edu
Address: University of MIT, 77 Massachusetts Avenue, Cambridge, MA 02139, USA
