The Bachelor's in Mathematics with a focus on Computational Mathematics at CUNY prepares students in rigorous mathematical theory alongside practical computing skills for modelling, numerical simulation and data analysis. It suits students who enjoy abstract reasoning and algorithmic problem‑solving and who want a pathway into industry, government or postgraduate study in computationally oriented fields.
The programme combines a firm grounding in pure and applied mathematics with intensive training in numerical methods, scientific computing and algorithmic design. Core mathematics courses typically include calculus sequences, linear algebra, differential equations, real analysis and discrete mathematics. Computationally focused modules commonly cover numerical analysis, numerical linear algebra, scientific computing, optimisation, computational differential equations and numerical probability.
Students also take programming and software courses to build practical skills: data structures and algorithms, programming for scientific computing (Python, MATLAB, or equivalent), high‑performance computing concepts and database fundamentals. Coursework is complemented by statistics and probability, modelling of physical and social systems, and electives in areas such as machine learning, computational geometry, computer graphics or financial mathematics.
The degree structure normally includes a capstone experience or senior project that requires students to apply computational and mathematical methods to a substantive problem, and options for research projects with faculty. General education requirements ensure breadth across the humanities and social sciences in line with CUNY undergraduate degree policies.
Applicants must hold a recognised secondary school diploma or equivalent. Successful candidates typically demonstrate strong preparation in mathematics, including precalculus and calculus; prior exposure to linear algebra and computer programming is strongly recommended. CUNY campuses may consider standardised test scores (SAT/ACT) where used in admissions decisions, but many campuses operate test‑optional policies; consult the specific college within CUNY for their approach.
Typical admissions criteria include a competitive high school GPA with emphasis on STEM coursework, and letters of recommendation or a personal statement highlighting mathematical interest and experience. Applicants with Advanced Placement (AP), International Baccalaureate (IB) or other recognised college credit can often receive advanced placement in calculus or introductory programming.
International applicants must meet English language proficiency requirements as defined by the admitting college (for example IELTS, TOEFL or equivalent) and provide credential evaluation where required. Transfer students should provide college transcripts and may be placed in the programme according to completed coursework in mathematics and computing.
Graduates with a computational mathematics degree from CUNY are well placed for careers that require quantitative modelling and computational skill. Common roles include data analyst or data scientist, software developer, quantitative analyst in finance, operations researcher, scientific programmer, and roles in engineering simulation and computational modelling.
Alumni also move into actuarial work, technology consulting, and positions in government agencies or research labs that need numerical simulation and algorithm development. The degree provides strong preparation for postgraduate study in mathematics, computer science, engineering, statistics, or specialised applied fields such as computational biology or quantitative finance.
CUNY's location in New York City opens internship and employment opportunities across finance, media, technology and public sector organisations that value graduates able to combine mathematical rigour with practical coding and data skills.
CUNY offers access to a large, diverse public university system with many campuses, allowing students to benefit from a wide range of faculty expertise and research activity in mathematics and computation. The university's urban setting provides direct links to industry, internships and cross‑disciplinary collaborations with computer science, engineering and data science programmes.
Students can take advantage of computing facilities, research centres and collaborations with New York City institutions and industry partners. Small class options, honours tracks and opportunities for undergraduate research or a faculty‑supervised capstone give hands‑on experience. CUNY also provides support services for career development, internships and graduate school preparation tailored to mathematics and computational careers.
Finally, the system emphasises affordability and access, enabling students from diverse backgrounds to pursue rigorous mathematical training while engaging with the professional and cultural resources of one of the world's major cities.
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