Doane University

What you'll study

The Computational Mathematics emphasis builds on a core mathematics curriculum and adds coursework in numerical methods, scientific computing and algorithmic problem solving. Students complete foundational courses such as multivariable calculus, linear algebra, differential equations and real analysis, then move into applied and computational topics.

• Core mathematics: Calculus sequence, Linear Algebra, Differential Equations, Real Analysis or Advanced Calculus
• Computational and applied courses: Numerical Analysis, Scientific Computing, Computational Linear Algebra, Mathematical Modelling and Simulation
• Computer science and algorithms: Programming (Python and/or C/C++), Data Structures and Algorithms, Introductory Machine Learning or Data Mining electives
• Statistics and data: Probability, Mathematical Statistics, Applied Data Analysis
• Capstone and experiential learning: A senior capstone project or practicum involving applied computation, undergraduate research with faculty, and opportunities for internships or industry-sponsored projects

The programme is structured within Doane's liberal-arts framework: students combine major requirements with general education courses, and have flexibility to take complementary electives in computer science, physics, economics or biology to tailor their degree toward specific interests.

Entry requirements

Applicants should hold a recognised secondary-school qualification. Typical applicants present a strong academic record with particular strength in mathematics; a competitive application usually shows evidence of successful study in algebra, precalculus or calculus. Prior programming experience is helpful but not required.

• US applicants: High school diploma with a strong transcript; submission of a personal statement and school report/references. Standardised test submission may be optional—check Doane's admissions guidance.
• International applicants: An equivalent secondary-school credential, academic transcripts translated into English, and proof of English language proficiency where required (such as TOEFL or IELTS scores).
• Additional preparation: Placement or introductory courses may be recommended for those without calculus or programming experience. Transfer students should provide college transcripts and course descriptions for credit evaluation.

Career prospects

Graduates with a computational mathematics emphasis are well positioned for careers that require quantitative modelling, algorithmic thinking and programming. Common career paths include:

• Data analyst or data scientist roles in technology, healthcare, retail or government
• Software developer or engineer positions, especially in numerical and scientific computing
• Quantitative analyst or risk modeller in finance and insurance
• Actuarial analyst roles (with additional exam preparation)
• Engineering and applied-research positions that use simulation and mathematical modelling
• Graduate study in mathematics, computer science, statistics, engineering or related fields

Doane emphasises internships, undergraduate research and career support, helping students translate classroom learning into practical experience and professional connections.

Why study at Doane University

Doane offers a small-college environment with close faculty mentoring, which is valuable for a mathematically intensive major that benefits from direct guidance. Faculty are accessible for supervised undergraduate research and capstone projects, giving students hands-on experience in computational work.

• Small class sizes: Personalized instruction and the opportunity to work closely with faculty mentors on research and applied projects.
• Experiential learning: Internship support, practicum options and project-based courses that connect theory to real-world problems.
• Interdisciplinary opportunities: Easy access to electives in computer science, business, natural sciences and engineering to broaden applied skills.
• Career services: Dedicated resources to help students secure internships, co‑op placements and entry-level positions, plus preparation for graduate study.

Together, these features make Doane's Computational Mathematics emphasis a practical choice for students seeking a mathematically rigorous degree with a clear pathway into computational and data-focused careers.