Florida State University

What you'll study

The programme blends core coursework in mathematics and computing with applied topics from physics, engineering, biology or economics. Typical modules include calculus and multivariable calculus, linear algebra, ordinary and partial differential equations, probability and statistics, and numerical analysis. Computer science and programming elements cover data structures and algorithms, scientific programming (languages such as Python and C/C++), software engineering practices, and database fundamentals.

• Scientific computing and numerical methods for solving linear and nonlinear systems
• High-performance and parallel computing, including use of multi-core and GPU platforms
• Computational modelling and simulation for fluid dynamics, materials, biological systems or other application areas
• Data analysis, machine learning fundamentals and scientific visualisation
• Electives in domain areas (physics, engineering, chemistry, biology, finance) to develop applied expertise
• Senior capstone or honours project involving a substantial computational research or development component

Courses emphasise hands-on work with scientific libraries, modelling frameworks, and the university’s research computing resources. Students typically complete laboratory and project-based modules and have opportunities for undergraduate research with faculty across departments.

Entry requirements

Applicants should have a strong background in mathematics and science from secondary education. Typical preparation includes courses in calculus, physics and computer science or programming. Admission is competitive and based on a combination of academic transcripts, course rigour and other supporting materials.

• High school diploma or equivalent with substantial achievement in mathematics (including calculus where available)
• Prior experience or coursework in programming is strongly recommended
• For international applicants, proof of English proficiency through an accepted test or approved alternative is required where applicable
• Students transferring from other institutions will need to meet transfer credit and departmental requirements; faculty advising helps map prerequisites

Career prospects

Graduates are prepared for roles that require strong quantitative and computational skills across industry, government and academia. Common career paths include software developer or engineer, data scientist/analyst, computational scientist for research labs, high-performance computing specialist, quantitative analyst in finance, and roles in modelling and simulation for engineering, climate science, or biomedical applications.

Many students go on to graduate study in computational science, applied mathematics, computer science, engineering or data science. The programme’s emphasis on practical projects and research experience also supports internships and employment with local technology firms, national laboratories and governmental agencies.

Why study at Florida State University

Florida State University offers an interdisciplinary environment with access to experienced faculty in scientific computing, mathematics, computer science and application domains. Students benefit from on-campus research computing facilities and high-performance computing resources that support project-based learning and undergraduate research.

• Opportunities to collaborate with research groups across departments and centres, enabling applied projects in areas such as climate modelling, computational biology and engineering
• Undergraduate research programmes and faculty-mentored capstones that build practical experience valued by employers and graduate programmes
• Proximity to government agencies and local industries provides internship and employment pathways
• Supportive campus services, student organisations and career resources that help students develop professional and technical skills

Together, these elements make FSU a practical choice for students who want a rigorous computational education with direct links to applied research and career opportunities.