Ferris State University

What you'll study

The Applied Mathematics curriculum emphasises mathematical modelling, computation and data analysis alongside a foundation in calculus and algebra. Students progress from core theoretical courses to applied and computational topics, finishing with project-based work that integrates classroom learning with real problems.

• Core mathematics: calculus sequence, linear algebra, ordinary differential equations, and an introduction to real analysis or advanced calculus.
• Applied and computational topics: numerical analysis, scientific computing, mathematical modelling, optimisation, and computational methods for differential equations.
• Probability and statistics: probability theory, mathematical statistics, regression and data analysis, and applied statistical computing.
• Interdisciplinary and elective options: courses in computer programming, data science, operations research, mathematical biology, or financial mathematics depending on student interests.
• Capstone and experiential learning: a senior capstone project or practicum that typically involves modelling a real problem, implementing computational solutions and presenting results; opportunities for internships or collaborative projects with industry or research supervisors.

Entry requirements

Applicants should have a high school diploma or equivalent with strong preparation in mathematics. Typical preparation includes courses in algebra, geometry, trigonometry and precalculus; prior exposure to calculus is advantageous. Admissions decisions consider the overall academic record, strength of quantitative coursework, and supporting materials such as transcripts and personal statement.

Transfer applicants must provide college transcripts and information about completed mathematics coursework; programme advisers evaluate transfer credit and appropriate course placement. International applicants must demonstrate equivalency of secondary education and meet Ferris State University’s English language proficiency requirements.

Career prospects

Graduates with a degree in Applied Mathematics are equipped for quantitative roles across many sectors. Common career paths include:

• Data analyst or data scientist roles, applying statistical and computational methods to extract insights from data.
• Modelling and simulation positions in engineering, environmental science, public health or manufacturing.
• Operations research and optimisation roles in logistics, supply chain and business planning.
• Financial and risk analyst positions in banking, insurance and investment firms; some roles require or encourage professional exam preparation (for example actuarial exams).
• Software and algorithm development roles that value mathematical foundations and numerical methods.
• Further study at graduate level in applied mathematics, statistics, data science, engineering or related fields, or certification pathways for secondary teaching with appropriate additional credentialing.

Why study at Ferris State University

Ferris State emphasises applied, career-focused learning with small class sizes and accessible faculty who actively engage with students on projects and research. The programme is designed to combine theoretical rigour with hands-on computing and modelling experience using industry-standard tools and laboratory facilities.

Students benefit from connections to regional employers and internship opportunities, Ferris’s career services and an applied learning culture that prepares graduates to move directly into the workforce or on to graduate study. Advising support helps tailor the degree with electives, minors or certificates to suit specific career goals.