Indiana University of Pennsylvania

What you'll study

The Computational Mathematics concentration builds core mathematical foundations and adds a strong emphasis on numerical methods, algorithmic thinking and scientific computing. Typical topics and modules include:

• Core mathematics: calculus sequence, multivariable calculus, linear algebra, discrete mathematics and proof-writing.
• Applied analysis: ordinary and partial differential equations, real analysis or advanced calculus.
• Computational and numerical methods: numerical analysis, numerical linear algebra, approximation theory and numerical solutions of differential equations.
• Scientific computing and programming: structured programming (Python or MATLAB), data structures and algorithms, numerical libraries and high-level scientific computing tools.
• Modelling and data: mathematical modelling, computational modelling, introduction to probability and mathematical statistics, and applied data analysis.
• Capstone and project work: a senior capstone or honours project involving supervised research, numerical implementation and written reporting; opportunities for team-based computational projects.
• Electives and cross-discipline options: students commonly take electives in computer science, physics, engineering or statistics to complement computational interests (for example, machine learning, computational geometry, or scientific visualization).

The programme balances theoretical rigor with substantial hands-on experience in programming and numerical experimentation. Many courses include laboratory or project components where students implement algorithms, run simulations, and validate models against data.

Entry requirements

Admission to the Bachelor of Science in Mathematics at Indiana University of Pennsylvania generally requires a high school diploma (or equivalent) with a strong record in mathematics. Typical expectations include:

• A background in algebra, geometry and pre-calculus; applicants with calculus or advanced maths at high school level are preferred.
• Competence in problem-solving and quantitative reasoning demonstrated through grades, a personal statement or teacher references.
• Standardised test submissions are subject to university policy; international applicants should meet English language proficiency requirements.
• Transfer students are considered with evaluation of prior college coursework; completion of introductory calculus and linear algebra at the transferring institution strengthens an application.

While no specific programming experience is required, familiarity with basic computing or willingness to learn programming early in the degree is recommended. Prospective students can contact the Department of Mathematical and Computer Sciences for tailored advice on preparation and course placement.

Career prospects

Graduates with a computational mathematics degree are well placed for a wide range of careers where mathematical modelling, numerical computation and coding skills are needed. Common career pathways include:

• Data analyst, data scientist or business intelligence specialist using statistical and numerical methods to extract insights from data.
• Software developer or computational scientist writing algorithms and scientific code for engineering and research applications.
• Quantitative analyst or model developer in finance and insurance, including roles preparing students for actuarial exams with appropriate course choices.
• Research assistant or technical specialist in laboratories, government agencies or private research organisations working on simulations, modelling and optimisation.
• Graduate study in mathematics, applied mathematics, computer science, statistics or engineering for roles in academia or specialised industry positions.

Employers value the combination of mathematical rigour and practical computational experience; students often take internships and cooperative placements to build industry-relevant skills before graduation.

Why study at Indiana University of Pennsylvania

IUP’s Department of Mathematical and Computer Sciences offers a focused environment with accessible faculty and small to medium-sized classes that allow for close mentoring. The programme emphasises experiential learning through computational laboratories, project-based coursework and opportunities for undergraduate research alongside faculty.

• Access to computing resources and laboratory facilities where students implement and test numerical algorithms.
• Interdisciplinary links with computer science, physics and engineering departments that support cross-listed electives and collaborative projects.
• Advising and career services that connect students with internships and regional employers; proximity to metropolitan areas provides additional internship and employment opportunities.
• A pathway to graduate study with preparation in both theoretical and computational areas, supported by capstone projects and research experiences.

Overall, the Computational Mathematics concentration at IUP is suited to students who want a mathematically rigorous undergraduate education paired with practical computational skills that are directly applicable in research, industry and advanced study.