Applied Mathematics
The Master of Science in Applied Mathematics provides an in depth study of advanced mathematical techniques, modeling, and computational methods used to solve real world problems. Students explore calculus, linear systems, mathematical modeling, and numerical methods while developing skills to analyze, interpret, and apply mathematical solutions across diverse fields. The program combines theoretical study with applied problem solving, helping learners develop analytical expertise in modeling complex systems, performing quantitative analysis, and applying computational techniques. Through coursework, projects, and practical exercises, students gain insight into the mathematical foundations underlying engineering, finance, data science, and scientific research.
The program also emphasizes computational skills, problem solving, and professional application. Faculty mentorship, project based learning, and applied exercises allow students to build practical competence in mathematical modeling, algorithm development, and quantitative analysis. Graduates are prepared to work in research institutions, technology companies, financial organizations, engineering firms, and data analytics centers, applying their skills to solve complex mathematical and computational problems. The curriculum ensures that students leave with both conceptual understanding and applied skills essential for careers in applied mathematics, data analysis, and computational modeling.
Key information
Key Facts
- Program Title: Applied Mathematics
- Degree Type: Master of Science
- Duration: 1 year
- Mode of Study: Full-time, On Campus
- Application Deadline: 15 February 2026
- Location: Columbia University, United States
- Field of Study: Applied Mathematics
- Language of Instruction: English
Program Structure
Semester 1 Foundations in Applied Mathematics
• Introduction to Applied Mathematics
• Advanced Calculus and Linear Systems
• Methods of Mathematical Modeling
• Computational Techniques in Mathematics
Semester 2 Advanced Analysis and Projects
• Numerical Methods and Optimization
• Applied Mathematical Modeling Projects
• Seminar in Applied Mathematics
• Capstone Research Project
Career Opportunities
Graduates of this program are prepared for careers in research institutions, technology companies, financial organizations, and engineering firms, where expertise in applied mathematics and computational methods is essential. Alumni may work as data analysts, mathematical modelers, operations researchers, quantitative analysts, or computational scientists, applying analytical and problem solving skills to solve real world challenges. The combination of applied projects, computational expertise, and research experience equips graduates to address complex problems in finance, engineering, data science, and scientific research. Some graduates pursue doctoral studies in applied mathematics, computational modeling, or data science. Graduates leave ready to apply mathematical solutions in professional and research contexts.
Why Choose This Program
Students choose this degree for its combination of analytical skills and computational techniques, offering a curriculum that integrates mathematical theory, modeling, and applied problem solving. The program emphasizes project based learning, applied research, and seminar discussions, allowing learners to develop skills in quantitative analysis, mathematical modeling, and computational methods. Faculty mentorship, applied projects, and research exercises support students in translating theory into practical solutions for diverse industries and scientific problems. For individuals seeking a graduate program that prepares them for impactful careers in applied mathematics, data science, and modeling, this degree provides a focused and highly relevant pathway.
Contact Information
For further information, please contact the admissions office at:
Phone: +1 212 854 1754
Email: admissions@columbia.edu
Address: University of Columbia, Admissions Office, New York, NY, United States
