Clarkson University

What you'll study

The programme builds a solid foundation in pure and applied mathematics while placing strong emphasis on computational methods and scientific computing. Early coursework typically covers calculus, linear algebra, differential equations and discrete mathematics, progressing to more advanced topics such as real analysis and mathematical modelling.

• Core mathematical courses: multivariable calculus, linear algebra, ordinary and partial differential equations, real analysis and complex variables.
• Computational and applied courses: numerical analysis, scientific computing, algorithms and data structures, numerical linear algebra, optimisation and computational modelling.
• Programming and tools: instruction and practice in languages and environments commonly used for computational mathematics (for example Python, MATLAB, C/C++), plus exposure to high-performance computing and visualization.
• Probability and statistics: probability theory, mathematical statistics and applied data analysis to support work in data-driven applications.
• Electives and interdisciplinary options: machine learning, cryptography, operations research, computational physics or engineering courses that allow tailoring toward finance, engineering or scientific research.
• Capstone and research: a senior project or practicum that typically involves modelling, numerical simulation or an applied research problem, often done in collaboration with faculty or industry partners.

Entry requirements

Applicants should demonstrate strong achievement in mathematics and related quantitative subjects at secondary level. Successful candidates normally present a high school diploma (or equivalent) with substantial preparation in algebra, geometry and calculus. Prior experience with programming and science subjects is advantageous.

• For domestic applicants: a strong secondary school record with emphasis on mathematics; courses in calculus or advanced mathematics are recommended.
• For international applicants: equivalent credentials demonstrating proficiency in mathematics; evidence of ability to study in English is required for non-native speakers.
• Placement testing or introductory bridging modules may be used to ensure readiness for college-level calculus and programming.
• Admissions may consider standardised test scores where provided, but offers are based on the overall academic profile and preparation in quantitative subjects.

Career prospects

Graduates are prepared for a wide range of careers that require strong quantitative and computational skills. The combination of mathematical theory and computational practice opens opportunities across industry, government and academia.

• Data science and analytics roles in finance, healthcare, technology and consulting.
• Quantitative analyst or modelling positions in finance and risk management.
• Software engineering, algorithm development and scientific programming.
• Operations research, optimisation and systems analysis for manufacturing, logistics and defence organisations.
• Actuarial work and roles requiring statistical modelling.
• Further study at graduate level in applied mathematics, computational science, engineering, statistics or related fields, or entry into research positions.

Why study at Clarkson University

Clarkson provides a learning environment that emphasises hands-on, applied learning alongside solid theoretical training. Students benefit from small class sizes, access to computing labs and interdisciplinary collaboration with engineering and science departments.

• Undergraduate research: opportunities to work with faculty on computational projects and to present findings through senior projects and campus forums.
• Practical experience: internships, co-operative education options and industry partnerships that connect coursework to real-world problems.
• Facilities and resources: dedicated computing resources, modern laboratories and software tools used in research and industry.
• Career support: active career services and alumni networks that help students secure internships and graduate roles in quantitative and technical fields.