University of Central Oklahoma

What you'll study

The programme focuses on advanced mathematical methods and computational techniques used to formulate and solve applied problems. Core topics typically include advanced linear algebra, real analysis, ordinary and partial differential equations, numerical analysis and scientific computing. Students also study applied probability and statistics, optimisation and mathematical modelling, and may take elective modules in areas such as computational fluid dynamics, stochastic processes, time series analysis, machine learning for numerical applications, or finite element methods.

Instruction combines theory with hands-on computation. Most students undertake substantial project work or a research thesis that requires coding and data analysis, applying methods to problems drawn from engineering, physics, biology, finance or operations research. The programme is often offered with thesis and non-thesis (coursework-plus-project) routes to allow flexibility between research and professional aims.

Typical structure

• Advanced core courses in analysis, differential equations and numerical methods.
• Electives chosen to support a specialist focus (modelling, computational methods, statistics, optimisation).
• Research project or master’s thesis supervised by faculty, or a capstone professional project for non-thesis students.
• Opportunities for graduate seminars, collaborative research with faculty, and use of computing laboratories and software packages for scientific computing.

Entry requirements

Applicants are normally expected to hold a bachelor’s degree in mathematics, applied mathematics, engineering, physics, computer science or another quantitatively rigorous discipline. A strong record in undergraduate mathematics courses such as calculus, linear algebra, differential equations and basic probability/statistics is expected. Candidates who lack certain prerequisites may be admitted conditionally and required to complete specified undergraduate-level courses.

Typical application materials include official transcripts, a statement of purpose describing academic and professional goals, letters of recommendation from instructors or employers, and a current résumé or CV. International applicants must demonstrate English language proficiency according to the university’s graduate admissions requirements. Direct contact with potential faculty supervisors is recommended if applying for the thesis route or for funded assistantships.

Career prospects

Graduates of the Master’s in Applied Mathematics go on to roles that require strong quantitative, analytical and computational skills. Common career paths include data scientist/analyst, quantitative analyst in finance, operations research specialist, modelling and simulation engineer, software developer for scientific applications, and roles in government laboratories or research institutions. The degree also provides preparation for PhD study in mathematics, applied mathematics or related fields for those pursuing academic or high-level research careers.

Employers include technology and engineering firms, financial and insurance companies, consulting businesses, healthcare and biotech companies, energy and environmental organisations, and federal or state research agencies. The programme’s emphasis on computation and modelling helps students transition to industry positions that require programming, numerical methods and data-handling skills.

Why study at University of Central Oklahoma

The University of Central Oklahoma offers a supportive, student-centred graduate environment with relatively small class sizes and close faculty mentorship. Graduate students benefit from access to computing resources, software used in industry and opportunities to collaborate with faculty on applied research projects. The university’s location near regional industry and the Oklahoma City area provides networking and employment opportunities with engineering firms, energy companies and government agencies.

UCO also provides practical support for graduate students through academic advising, graduate assistantships and opportunities to gain teaching or research experience. The programme’s flexibility—offering thesis and non-thesis options and a range of electives—allows students to tailor study to academic research goals or applied professional preparation.