Applied Mathematics
The Bachelor of Science in Applied Mathematics is a four year program designed to provide students with a solid foundation in mathematical theory and practical applications across a wide range of fields. The curriculum emphasizes analytical reasoning, problem solving, quantitative analysis, and computational skills, enabling students to develop solutions for complex problems in science, engineering, finance, and technology. Through lectures, lab exercises, and applied projects, students gain experience in modeling, data analysis, mathematical computation, and statistical methods, preparing them for careers that require strong quantitative and analytical expertise.
Students gain extensive experience in advanced mathematics, computational methods, statistical modeling, and problem solving, strengthening critical thinking, research skills, numerical proficiency, and logical reasoning. The program combines core courses in calculus, linear algebra, differential equations, probability, and statistics with electives that allow students to specialize in areas such as mathematical modeling, computational science, finance, or operations research. By integrating theoretical knowledge with practical applications, graduates acquire the skills necessary to pursue careers in finance, engineering, data analytics, research, or continue into graduate studies in mathematics, applied sciences, or related fields.
Key information
Key Facts
- Program Title: Applied Mathematics
- Degree Type: Bachelor of Science
- Duration: 4 years
- Mode of Study: Full-time, On Campus
- Application Deadline: 05 January 2026
- Location: University of Illinois Urbana-Champaign, United States
- Field of Study: Applied Mathematics
- Language of Instruction: English
Program Structure
Year 1 - Foundations in Applied Mathematics
- Calculus I and II
- Linear Algebra and Differential Equations
- Academic Writing and Research Skills
- Introduction to Computational Methods
Year 2 - Core Studies in Mathematical Theory
- Probability and Statistics
- Advanced Calculus and Mathematical Modeling
- Computational Mathematics and Programming
- Elective Courses in Applied Sciences or Engineering
Year 3 - Advanced Topics & Applied Projects
- Numerical Analysis and Simulation
- Optimization and Operations Research
- Data Analysis and Statistical Computing
- Elective Courses in Specialized Mathematical Areas
Year 4 - Capstone & Professional Preparation
- Senior Research Project in Applied Mathematics
- Advanced Seminar in Mathematical Modeling and Applications
- Internship / Industry Placement
- Career Preparation and Professional Skills
Career Opportunities
Graduates of this program are prepared for careers in finance, data analytics, engineering, research, technology, and operations management. They often work as quantitative analysts, data scientists, operations researchers, financial modelers, and mathematical consultants, applying mathematical techniques, analytical thinking, and computational skills to solve complex real world problems. Many graduates continue their studies in applied mathematics, computational science, engineering, finance, or related fields, leveraging their expertise to contribute to innovative solutions, data driven decision making, and advanced research projects. The combination of theoretical knowledge, practical experience, and analytical skills ensures graduates are fully equipped to succeed in diverse professional environments where quantitative expertise is essential.
Why Choose This Program
This program is ideal for students seeking a comprehensive education in applied mathematics that combines rigorous mathematical theory with practical applications across multiple fields. It emphasizes analytical reasoning, problem solving, computational skills, and quantitative analysis, preparing students for careers in finance, data science, engineering, research, and technology. Students participate in modeling projects, computational exercises, data analysis assignments, and internships, gaining applied experience alongside theoretical study. The four year curriculum allows in depth exploration of mathematical principles, statistical methods, computational modeling, and problem solving, ensuring graduates are fully prepared to contribute meaningfully to professional, academic, and research based environments where advanced mathematical expertise is required.
Contact Information
For further information, please contact the graduate admissions office at:
Phone: 217-333-0035
Email: grad@illinois.edu
Address: The Graduate College, 507 East Green Street, Suite 101, MC-434, Champaign, IL 61820, United States
