University of South Carolina

What you'll study

The applied mathematics curriculum combines core mathematical theory with computational methods and domain‑specific applications. You will study calculus, linear algebra, differential equations, probability and mathematical statistics as foundational topics. Building on this you will take courses in numerical analysis, mathematical modelling, scientific computing, optimization, partial differential equations and applied probability.

Program structure typically includes a set of required core modules, a range of electives that allow specialisation (for example in data science, mathematical biology, financial mathematics or computational physics), and a capstone experience such as a senior research project or practicum. Coursework emphasises hands‑on computation: students use programming languages and tools commonly used in industry (for example Python, MATLAB and R), and learn to translate real problems into mathematical models and computational solutions.

• Core topics: multivariable calculus, linear algebra, ordinary differential equations
• Applied and computational courses: numerical methods, scientific computing, optimization, PDEs
• Statistics and probability: probability theory, mathematical statistics, stochastic processes
• Electives and special topics: data analysis, machine learning foundations, mathematical finance, mathematical biology
• Capstone/senior project: independent or faculty‑mentored research project, practicum, or interdisciplinary team project

Entry requirements

Applicants are expected to demonstrate strong achievement in mathematics at high school level and readiness for university calculus. Successful candidates typically have completed courses in algebra, geometry, trigonometry and calculus or equivalent, and show aptitude for analytical reasoning. Prior experience with programming or computer science is advantageous but not always mandatory.

Admission to the University of South Carolina honours general undergraduate admissions standards; international applicants should present equivalent secondary qualifications. Mature applicants and those with college‑level coursework should provide transcripts that show recent quantitative study. Prospective students are encouraged to consult the university admissions office for specific credential and documentation guidance.

Career prospects

Graduates with a degree in applied mathematics pursue a wide range of careers where quantitative and computational skills are valued. Typical roles include data analyst, data scientist, quantitative analyst in finance, actuary (with further professional exams), operations researcher, software engineer, computational scientist and modelling specialist in engineering or the physical and life sciences.

Alumni also move into graduate study in mathematics, statistics, computer science, engineering, economics or actuarial science. The programme’s emphasis on computation and modelling prepares students for industry internships, research assistantships and roles in government agencies or consulting firms.

Why study at University of South Carolina

The University of South Carolina offers applied mathematics within a research‑active department and a broad arts and sciences environment, giving access to faculty working on diverse applied problems and interdisciplinary collaborations. Students benefit from opportunities for undergraduate research, faculty mentorship, and links with regional employers and research laboratories.

Facilities include computing resources and software used for scientific computing and data analysis, and students can complement their degree with minors or certificates in fields such as computer science, statistics, engineering or data science. Campus organisations and academic support services provide extra preparation for professional exams, internship placement and career development.