Tiffin University

What you'll study

This programme builds a strong foundation in pure and applied mathematics while emphasising computational methods and practical software tools. Core topics typically include calculus sequence, linear algebra, differential equations, discrete mathematics and real analysis, together with applied courses such as numerical analysis, mathematical modelling and optimisation.

• Calculus and analysis: single- and multi-variable calculus, sequences and series, and introductory real analysis to develop rigorous reasoning skills.
• Linear algebra and differential equations: matrix theory, eigenvalues, systems of linear equations and ordinary differential equations with applications.
• Computational and applied mathematics: numerical methods for root finding, integration and differential equations, error analysis, approximation theory and scientific computing techniques.
• Programming and software: practical programming for mathematicians using languages and environments such as Python, MATLAB or similar tools, alongside coursework in algorithms and data structures.
• Probability and statistics: probability theory, statistical inference and data analysis methods to support work in data science and modelling.
• Electives and special topics: optional modules may include optimisation, computational geometry, time series analysis, cryptography, or machine learning, depending on availability.
• Capstone and experiential learning: a senior project, practicum or undergraduate research experience that integrates mathematical theory with computational implementation; opportunities for internships with local industry and cross-disciplinary projects are encouraged.

Entry requirements

Applicants are expected to hold a high school diploma or equivalent with a strong background in mathematics. Typical preparations include completion of algebra, geometry, trigonometry and, where available, precalculus or calculus courses.

• Academic record: A competitive high-school GPA and transcripts evidencing solid performance in mathematics and related sciences.
• Standardised tests: Tiffin University may be test-optional; check the university’s current policy for SAT/ACT requirements if you are a domestic applicant.
• International applicants: Proof of English proficiency is required if English is not your first language; acceptable tests include TOEFL or IELTS or other university-accepted measures.
• Additional materials: Personal statement, letters of recommendation and an academic résumé can strengthen an application. Applicants with prior college coursework or transfer credits should submit official transcripts for evaluation.
• Placement: Incoming students may take placement assessments in mathematics to determine the appropriate starting course.

Career prospects

Graduates with a computational mathematics focus develop skills sought after in multiple sectors. The combination of mathematical rigour and computational literacy opens a variety of entry-level roles and further study options.

• Data analyst, business analyst or data scientist roles involving data cleaning, statistical analysis and model implementation.
• Software development and engineering positions that value algorithmic thinking and numerical programming.
• Quantitative analyst or modelling roles in finance, insurance and risk management.
• Operations research and optimisation positions in logistics, manufacturing and supply-chain management.
• Technical roles in scientific computing, engineering firms and technology startups.
• Teaching secondary mathematics or pursuing graduate study in mathematics, statistics, computer science or engineering for more specialised careers.

Why study at Tiffin University

Tiffin University offers a personalised undergraduate experience with small class sizes and accessible faculty, making it well suited to students who benefit from close mentoring. The mathematics programme emphasises applied, hands-on learning and practical computing skills that prepare students for industry or postgraduate study.

• Applied focus: Courses balance theory and computation so students learn both rigorous mathematics and how to implement solutions with modern software tools.
• Faculty engagement: Small cohorts enable direct supervision on capstone projects and opportunities for undergraduate research with faculty members.
• Career support: The university provides career services, internship placement assistance and connections with regional employers to help students transition to the workforce.
• Flexible pathways: Options for electives, minors or double majors allow students to combine computational mathematics with disciplines such as computer science, business analytics or engineering technology.