Mathematics The City University of New York

Overview

The Mathematics programme at The City University of New York provides students with a rigorous foundation in both theoretical and applied mathematical principles. This course of study is designed to challenge students intellectually while preparing them for diverse professional landscapes that require advanced numerical literacy.

Housed within the prestigious Division of Science, the department serves as a hub for academic excellence and research innovation. Students benefit from an environment that encourages deep inquiry into complex logical structures and quantitative methodologies. The faculty is dedicated to fostering a supportive atmosphere where learners can explore the vast applications of the discipline.

Why Mathematics at The City University of New York?

The university is renowned for its commitment to academic merit and its role as a leading research institution. Students in the department have access to the Marshak Science Building, which serves as a central facility for scientific learning and collaboration. The programme is distinguished by its integration into a broader scientific community, allowing for interdisciplinary engagement.

Teaching features include a focus on both undergraduate and graduate excellence, with opportunities for accelerated progression for high-achieving students. The department maintains strong links to the wider scientific and academic community in New York, providing a vibrant backdrop for study. Its location offers unique advantages for networking and professional development within a global economic centre.

Tuition Fee Breakdown

• International fee: USD 855 per credit
• National fee: USD 855 per credit
• Local fee: USD 470 per credit

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

The curriculum is designed to cover essential mathematical concepts while allowing for specialised focus in advanced topics. Modules may include:

• Topics in Pure Mathematics
• Topics in Probability and Statistics
• Theory of Functions of a Complex Variable
• Theory of Functions of a Real Variable
• Partial Differential Equations
• Set Theory
• Mathematical Logic
• Dynamical Systems
• Linear Algebra
• Modern Algebra
• Differential Geometry
• Topology
• Number Theory
• Combinatorial Analysis

Careers with Mathematics

Graduates from this programme are well-equipped to enter a variety of industries that value logical reasoning and data analysis. Common career paths include roles in finance, data science, actuarial work, and secondary or higher education. The quantitative skills developed during the course are highly transferable to sectors such as engineering, technology, and public policy.

Many alumni choose to pursue further academic research, entering doctoral programmes or specialised professional training. The rigorous nature of the degree ensures that graduates are competitive candidates for positions in both the private and public sectors. The university's reputation helps facilitate connections with diverse employers looking for skilled mathematicians.