Rochester Institute of Technology

What you'll study

The Applied Mathematics curriculum emphasises mathematical modelling, analysis and computational methods. Students follow a core sequence in calculus, multivariable calculus and linear algebra before progressing to differential equations, real analysis and advanced topics in applied mathematics. Numerical analysis and scientific computing are central, with coursework that typically covers algorithms for numerical linear algebra, numerical solution of ordinary and partial differential equations, and error analysis.

• Core modules: Calculus I–III, Linear Algebra, Ordinary Differential Equations, Real Analysis foundations
• Applied/core modelling modules: Mathematical Modelling, Partial Differential Equations, Dynamical Systems, Optimization
• Computational and data modules: Numerical Analysis, Scientific Computing, Probability and Mathematical Statistics, Computational Methods
• Electives and interdisciplinary options: Computational Finance, Actuarial Mathematics, Machine Learning, Scientific Visualization, Cryptography (often taken from computer science, engineering or business departments)
• Capstone experience: An applied mathematics senior project or thesis that typically involves modelling, analysis and implementation, often in collaboration with faculty, industry partners or other departments

The degree also includes general education requirements and gives opportunities to take minors or concentrations in related areas such as computer science, data science, physics, engineering or economics. Many students gain practical experience through supervised research projects, internships and co-operative education placements.

Entry requirements

Applicants should hold a recognised secondary school diploma with a strong background in mathematics. Successful candidates typically have completed courses in algebra, precalculus and calculus; familiarity with advanced mathematics topics and some programming experience are advantageous. Admissions decisions are based on academic transcripts, letters of recommendation and a demonstrated ability in quantitative subjects.

International applicants must meet English language proficiency requirements through recognised tests or approved equivalents. Transfer applicants are considered on the basis of college transcripts and course equivalencies. Applicants with non-traditional or professional backgrounds may be evaluated through a combination of prior coursework and experience.

Career prospects

Graduates with a bachelor’s in Applied Mathematics are well placed for careers that require strong analytical, numerical and computational skills. Common roles include:

• Data scientist, data analyst or machine learning engineer
• Quantitative analyst, risk modeller or financial engineer
• Operations research analyst, optimisation specialist or logistics modeller
• Software developer or scientific programmer focusing on simulation and computational tools
• Actuarial analyst (with appropriate exam progress and supporting coursework)
• Research assistant or further study leading to graduate degrees (MS/PhD) in applied mathematics, computational science, engineering or related fields

Graduates work across technology, finance, manufacturing, government research labs, healthcare analytics and consulting, among other sectors.

Why study at Rochester Institute of Technology

Rochester Institute of Technology offers an applied, career-oriented approach to mathematics with strong links to computing and engineering disciplines. The university is known for its emphasis on experiential learning—students have access to cooperative education (co-op) placements, internship networks and industry partnerships that provide practical experience and professional contacts.

Applied Mathematics students benefit from modern computing facilities, interdisciplinary research centres and faculty who are active in applied numerical analysis, modelling, and computational science. The campus supports collaboration with nearby companies and research institutions, and the programme’s flexibility allows students to tailor their studies with minors, cross-disciplinary electives and research projects that align with career goals.