Chatham University

What you'll study

The programme builds a strong foundation in pure mathematics and applied statistics while offering flexibility to pursue interdisciplinary interests. Core coursework covers calculus, linear algebra, differential equations, mathematical proof and introductory real analysis to develop rigorous thinking. Statistics and applied methods include probability theory, mathematical statistics, regression and experimental design, with computational statistics using modern software.

• Foundation modules: calculus sequence, linear algebra, discrete mathematics, introduction to proofs
• Core mathematics: real analysis, abstract algebra or number theory, differential equations
• Statistics and applied modules: probability, mathematical statistics, regression analysis, multivariate methods
• Computational tools: statistical computing, numerical analysis and programming relevant to data analysis
• Electives and interdisciplinary options: mathematical modelling, stochastic processes, data science, mathematical biology or courses from economics and computer science
• Capstone experience: senior project or honours thesis with faculty supervision, emphasising original work or applied data projects

Students are encouraged to engage in undergraduate research, internships and practicum placements with regional businesses, government agencies or healthcare organisations. Small seminars and project‑based courses foster communication of quantitative results for non‑specialist audiences.

Entry requirements

Applicants should hold a recognised secondary school credential and demonstrate strong preparation in mathematics. Typical evidence includes one or more years of university‑level or advanced secondary mathematics such as calculus. Admissions also consider grades across the curriculum, recommendations and a personal statement outlining mathematical interests.

For international applicants, acceptable qualifications include recognised national secondary credentials (for example A‑levels, the International Baccalaureate or equivalent). Mature applicants and those with prior college coursework in relevant subjects are welcomed; placement testing or review of transcripts may inform initial course placement. Proficiency in English is required for non‑native speakers, demonstrated by an approved English language qualification.

Career prospects

Graduates with a mathematics and statistics degree from Chatham enter a wide range of careers. Common pathways include:

• Data analyst or data scientist roles in healthcare, finance, technology and consulting
• Actuarial positions, supported by preparation for professional actuarial examinations
• Secondary teaching or educational roles, often complemented by certification or postgraduate teacher training
• Research and technical roles in government, industry and non‑profit sectors that require strong quantitative skills
• Progression to graduate study in statistics, applied mathematics, data science, economics or related fields

Students benefit from Chatham’s career services, internship connections in the Pittsburgh region and faculty mentoring to develop portfolios, presentation skills and professional networks.

Why study at Chatham University

Chatham offers a small, student‑centred environment that emphasises close faculty advising and hands‑on learning. Mathematics and statistics students gain access to project‑based courses and opportunities to collaborate with departments such as computer science, business and the health sciences, reflecting Chatham’s interdisciplinary approach.

The university’s location near Pittsburgh provides access to a regional hub of healthcare, finance and technology employers for internships and applied projects. Small class sizes and active faculty engagement make it straightforward to pursue undergraduate research, independent study and a capstone project under direct supervision. These features combine to prepare graduates with both theoretical understanding and practical skills sought by employers and graduate programmes.