About this major
Applied Math focuses on the use of mathematical methods and models to solve real-world problems in various industries, including technology, finance, and engineering. Students gain skills in complex problem-solving, data analysis, and computational techniques.
Student Reviews Summary
Curriculum snapshot
Linear Algebra
Covers vector spaces, matrices, determinants, eigenvalues, and eigenvectors, essential for mathematical modeling.
Differential Equations
Explores methods to solve ordinary and partial differential equations used in scientific modeling.
Probability and Statistics
Introduces probability theory and statistical methods crucial for data analysis and decision making.
Numerical Analysis
Focuses on algorithms for numerical solutions to mathematical problems, emphasizing error analysis and approximation.
Optimization
Studies techniques for finding the best solutions under given constraints, applicable in operations research and management.
Complex Variables
Examines functions of a complex variable, including integration and series, useful in engineering and physics applications.
Career outcomes
- Data Analyst
- Quantitative Analyst
- Operations Research Analyst
- Actuary
- Software Developer
Pros
- High demand across various industries
- Strong problem-solving skill development
- Opportunities in diverse fields
Considerations
- Requires strong mathematical foundation
- May involve complex theoretical concepts
- Continuous learning to keep up with industry tools
Similar majors
Statistics
Focuses more on data collection, analysis, and interpretation, complementing applied math's problem-solving.
Computer Science
Emphasizes algorithm development and software solutions, often overlapping with computational aspects of applied math.
Engineering
Applies mathematical principles to design and build solutions, sharing a strong analytical focus with applied math.
Economics
Uses mathematical models to analyze economic systems, providing a quantitative approach similar to applied math.
Physics
Relies on mathematical models to understand physical phenomena, closely linked to applied math applications.