Stevenson University

Programme overview

This programme develops core mathematical skills — from proof-writing and theoretical foundations to applied modelling and computational techniques. Instruction typically balances pure and applied topics and encourages communication of quantitative ideas, preparing graduates for further study or numerate professions.

What you'll study

Coursework covers the logical and computational tools used across mathematics and related fields.

• Foundations: courses in mathematical reasoning, set theory and proof techniques to build rigorous thinking.
• Core calculus and analysis: single- and multivariable calculus and introductory real analysis for understanding continuity, limits and convergence.
• Algebra and linear methods: linear algebra and abstract algebra topics that underpin many applications.
• Differential equations and modelling: ordinary differential equations and modelling methods for physical and engineering problems.
• Statistics and probability: inferential tools and probability theory useful in data analysis and stochastic modelling.
• Computational mathematics: numerical methods and programming for implementing algorithms and simulations.
• Electives and capstone: options in applied mathematics, mathematical statistics, or theoretical topics, often culminating in a senior project or seminar.

Entry requirements

Typical admission expects a high-school diploma with strong preparation in mathematics (algebra, geometry and precalculus or calculus). Admissions review emphasises quantitative coursework, academic records and preparation for college-level math; some programmes may recommend placement testing to determine the appropriate starting sequence.

Career prospects

Graduates enter diverse roles where quantitative reasoning is valued: actuarial and finance positions, data analysis, software and systems development, engineering support, teaching, or continued study in graduate programmes in mathematics, statistics, computer science or related disciplines.

Scholarships & funding angle

Students should explore merit- and need-based institutional scholarships, department-specific awards for strong mathematical achievement, and external scholarships from professional societies. Work-study, research or teaching assistant opportunities and internships can also offset costs while providing valuable experience.