

The Applied Mathematics program is designed for students who want to understand how mathematical principles can be used to model and solve real-world problems across various scientific, engineering, economic, and technological domains. The curriculum emphasizes both theoretical foundations and practical applications, giving students a balanced approach to mathematics in context. Students learn advanced topics in differential equations, numerical analysis, linear algebra, and probability, while also exploring how these concepts are applied in fields like physics, data science, finance, and engineering. With a strong interdisciplinary focus, the program trains students to work at the interface of mathematics, computation, and domain-specific knowledge.
Throughout the program, students engage in hands-on problem-solving, computer-based modeling, and collaborative projects that mirror professional research and industry practices. Instructors with expertise in both pure and applied mathematics guide students in developing analytical thinking, precision, and technical fluency. Students also have opportunities to specialize in areas such as optimization, mathematical biology, or machine learning, depending on their interests. The program culminates in a capstone experience where students synthesize their knowledge through research or project-based learning, building a solid foundation for careers or graduate study in mathematically intensive disciplines
Year 1
• Calculus I & II
• Introduction to Applied Mathematics
• Linear Algebra
• Programming for Mathematical Applications
• Scientific Communication Skills
Year 2
• Multivariable Calculus
• Ordinary Differential Equations
• Discrete Mathematics
• Probability and Statistics
• Elective: Mathematical Modeling or Physics I
Year 3
• Numerical Methods
• Partial Differential Equations
• Optimization Techniques
• Computational Mathematics
• Elective: Financial Mathematics or Machine Learning
Year 4
• Capstone Project or Research Seminar
• Advanced Topics in Applied Math
• Stochastic Processes
• Elective: Data Science, Mathematical Biology, or Control Theory
• Math Elective of Student’s Choice
Graduates of the Applied Mathematics program are equipped with a powerful combination of mathematical knowledge, computational skills, and real-world modeling experience that prepares them for a wide range of career paths. They are highly sought after in industries such as finance, technology, engineering, and data analytics, where the ability to interpret and manipulate quantitative information is essential. Typical roles include data analyst, quantitative researcher, operations analyst, software developer, and systems modeler. Many also work in government agencies or research institutes that rely on complex modeling for decision-making. Graduates are well-prepared for further academic study in mathematics, statistics, computer science, or engineering, and many pursue advanced degrees in these fields to specialize further and expand their career options.
This program is ideal for students who enjoy mathematics not just as an abstract subject but as a practical tool for exploring complex systems and solving pressing challenges. It offers a robust and modern curriculum that blends theoretical rigor with hands-on problem-solving, allowing students to build deep expertise and flexibility. The emphasis on applied projects, computation, and interdisciplinary thinking ensures that students graduate with real-world experience, strong communication abilities, and mathematical creativity. Whether your goal is to work in industry, research, or pursue graduate study, the program provides the foundation and versatility to excel in a rapidly evolving, data-driven world.
For further information, please contact the admissions office at:
Phone: +1 312 555 2040
Email: admissions@northwestern.edu
Address: University of Northwestern, 633 Clark Street, Evanston, IL 60208, United States