Rollins College

What you'll study

The programme blends core mathematical foundations with computational techniques and applied modelling. Core topics include multivariable calculus, linear algebra, differential equations and real analysis, alongside computational and applied courses such as numerical analysis, scientific computing, mathematical modelling and algorithms. Students encounter probability and mathematical statistics, discrete mathematics and optimisation, with opportunities to take electives in data science, machine learning, computational biology, and finance depending on interest.

Instruction emphasises both theory and practice: students learn to derive and prove results, then implement algorithms and simulations using contemporary programming languages and tools. The major typically culminates in a senior seminar or capstone project that can take the form of a supervised research project, an applied modelling study, or an industry internship report. Seminars, collaborative projects and laboratory/computing assignments are used throughout to develop communication and teamwork skills.

Typical modules and experiences

• Calculus sequence (single and multivariable)
• Linear Algebra and Matrix Computations
• Differential Equations and Dynamical Systems
• Real Analysis or Advanced Calculus
• Numerical Analysis and Scientific Computing
• Mathematical Modelling and Simulation
• Probability Theory and Mathematical Statistics
• Algorithms, Data Structures or Computational Complexity
• Electives in data science, optimisation, computational biology or financial mathematics
• Senior Capstone / Senior Research Project / Internship

Entry requirements

Rollins seeks students with a strong secondary school record and a clear aptitude for quantitative work. Successful applicants typically have completed pre‑calculus or calculus, and coursework in sciences is advantageous. Admissions consider the overall academic profile, letters of recommendation, and a personal statement describing interest in mathematics and computation.

For international applicants, Rollins requires appropriate proof of English language proficiency. Transfer applicants should present college transcripts showing solid performance in mathematics and related courses. Specific GPA thresholds and test requirements are set by the college and may vary by applicant background; prospective students should consult Rollins admissions for the current criteria.

Career prospects

Graduates with a computational mathematics major are prepared for a wide range of careers that require quantitative and computational expertise. Common destinations include data science and analytics, software and systems development, quantitative roles in finance and risk management, actuarial work (with additional professional exams), operations research, and technical roles in engineering or scientific research. Many graduates also go on to graduate study in mathematics, computer science, statistics, engineering or applied fields.

The combination of mathematical rigour and programming ability makes alumni attractive to employers in technology, finance, government agencies, consulting firms and research laboratories. Internship experiences and the senior capstone project often lead directly to job opportunities or graduate programme admissions.

Why study at Rollins College

Rollins offers a liberal arts environment with small class sizes and close faculty mentorship, allowing undergraduates to engage directly in research and applied projects. The college emphasises experiential learning—students frequently take internships, pursue independent research with faculty, or participate in interdisciplinary projects that connect mathematics with business, the natural sciences or computing.

Located near a major metropolitan area, students benefit from internship and employment links with local technology, finance and research organisations. Rollins provides access to modern computing resources, collaborative learning spaces and career services that support professional development, graduate school preparation and job placement. The department’s focus on both theory and computation prepares graduates to adapt to evolving technical demands across industries.