SideScholar
All Fields of Study Mathematics and Statistics

Applied Mathematics

Solve complex real-world problems using mathematical modeling and computational techniques across physics, engineering, and industry.

Field Overview

Applied Mathematics focuses on developing and applying mathematical frameworks, continuous algorithms, and computational models to solve practical problems across physics, engineering, medicine, biology, financial markets, and computer science. Unlike pure mathematics, which explores abstract concepts for their intrinsic logic, applied mathematics bridges mathematical theory with real-world technological and industrial implementation.

Students master mathematical physics, fluid dynamics, optimization theory, numerical modeling, and high-performance scientific computing. Guided by global societies like the Society for Industrial and Applied Mathematics (SIAM) and the Institute of Mathematics and its Applications (IMA), applied mathematicians build simulation engines that model climate patterns, aerodynamic flows, biological epidemics, and financial risk.

What You Will Learn

  • Mathematical Modeling: Translating real-world physical, biological, or economic phenomena into systems of differential equations and dynamic models.
  • Numerical Methods & Scientific Computing: Designing stable numerical algorithms to solve high-dimensional matrix equations and non-linear systems using Python, C++, and MATLAB.
  • Optimization Theory: Applying linear, non-linear, and integer programming techniques to optimize complex logistics, supply chains, and engineering systems.
  • Partial Differential Equations (PDEs): Modeling wave propagation, heat diffusion, fluid mechanics, and quantum wavefunctions.
  • Stochastic Processes & Probability: Modeling systems affected by random noise, risk parameters, and probabilistic uncertainty.

Career & Industry Outlook

As industrial engineering, weather forecasting, financial engineering, and artificial intelligence become increasingly reliant on mathematical modeling, demand for applied mathematicians remains high.

Graduates pursue impactful careers as applied mathematicians, quantitative researchers, computational engineers, climate modelers, data scientists, and algorithm developers.

Is This Field Right for You?

Applied Mathematics is perfect for individuals who love mathematics but want to see their equations solved on computers to fix real-world problems in engineering, biology, finance, and technology.

Where this can take you

Common career paths and professional roles for Applied Mathematics graduates.

Applied Mathematician
Computational Scientist
Quantitative Researcher
Algorithm Developer
Data Scientist
Climate & Fluid Dynamicist
Operations Research Specialist

Skills you'll gain

Core competencies and practical expertise developed during study.

Mathematical Modeling of Physical Systems Numerical Analysis & High-Performance Computing Partial Differential Equations (PDEs) Optimization Algorithms (Linear/Non-linear) Python / MATLAB / C++ Scientific Programming Stochastic Modeling & Uncertainty Quantification Data Simulation & Visualization

Frequently asked questions

Computer Science focuses primarily on software development, database systems, computer hardware, and programming languages. Applied Mathematics focuses on building mathematical equations, calculus models, and numerical algorithms to simulate physical, biological, or financial processes.
Aerospace, automotive, energy utilities, quantitative finance, weather forecasting, pharmaceutical research, defense, and technology companies all hire applied mathematicians.
Yes. Modern applied mathematics relies heavily on computer simulation. Proficiency in Python, MATLAB, C++, or R is essential for implementing numerical models.
Numerical Analysis is the study of algorithms that use numerical approximation (rather than exact symbolic manipulation) to solve mathematical problems that are too complex for pen-and-paper solutions.

Other fields of study

View all →