University of Findlay

What you'll study

The Applied Mathematics curriculum emphasises mathematical modelling, computational methods and practical problem solving. Core topics include multivariable calculus, linear algebra, ordinary differential equations and real analysis to build a rigorous foundation. Students then progress to applied and computational courses such as numerical analysis, mathematical modelling, optimisation, probability and mathematical statistics.

Programming and data skills are integrated throughout the programme; typical programming subjects cover MATLAB, Python and software tools for scientific computing and data visualisation. Elective options allow focus areas in data science, operations research, financial mathematics, or interdisciplinary work with biology, engineering or business.

The degree is completed with a senior capstone experience, which may be a supervised research project, an applied modelling project for an external partner, or an internship-based practicum that demonstrates the application of mathematical methods to a concrete problem.

• Calculus I–III and multivariable calculus
• Linear Algebra
• Ordinary Differential Equations
• Real Analysis (introductory)
• Numerical Analysis and Scientific Computing
• Probability and Mathematical Statistics
• Mathematical Modelling and Applied Problem Solving
• Optimization and Operations Research
• Programming for Mathematicians (Python/MATLAB)
• Capstone Project or Internship

Entry requirements

Applicants are normally expected to hold a high-school diploma (or equivalent) with a strong background in mathematics. Successful candidates usually have completed algebra, geometry, trigonometry and at least one year of calculus, or equivalent college-level coursework. Admissions typically consider academic transcripts, letters of recommendation and a personal statement describing interest in mathematics and applied problem solving.

International applicants must demonstrate English language proficiency through recognised tests or approved alternatives. Mature or transfer applicants should provide college transcripts and, where relevant, evidence of quantitative coursework or work experience.

Career prospects

Graduates with a degree in Applied Mathematics are well placed for a range of technical and analytical roles. Typical entry-level positions include data analyst, quantitative analyst, operations analyst, software developer or modelling specialist. With experience or additional study, graduates move into roles in data science, actuarial work, systems engineering, finance, risk analysis, supply chain optimisation and research.

The programme also prepares students for postgraduate study in applied mathematics, statistics, computational science, engineering or related disciplines. Practical experience gained through internships, capstone projects and undergraduate research enhances employability and helps build a professional portfolio.

Why study at University of Findlay

The University of Findlay offers a close-knit learning environment with small class sizes and accessible faculty who supervise undergraduate research and applied projects. The Department emphasises hands-on learning supported by computing labs, mathematical software and opportunities to work on interdisciplinary problems with science, engineering and business departments.

Students benefit from career support services, internship connections with regional employers and opportunities for experiential learning in industry or community placements. The programme’s focus on both theory and computation gives graduates the versatility to pursue careers in industry, government or further academic study.