National University

What you'll study

The programme combines preparatory courses, core mathematics courses and concentration‑level work. Preparatory and core topics listed in the programme materials include:

• Introductory statistics and probability (probability distributions, conditional probability/Bayes, expected value, Central Limit Theorem, hypothesis testing) with possible use of Minitab and a statistical calculator.
• Precalculus and trigonometry emphasizing higher degree polynomials, rational, exponential/logarithmic functions, trigonometry and matrix algebra to prepare for calculus.
• Foundations of Data Science and practical data acquisition and visualization (with recommended prerequisites ANA 200 and ANA 230 for the Data Analytics concentration; Google Data Analytics certificate is encouraged to satisfy these).
• Calculus I and II topics: limits, continuity, differentiation, integration and applications (related rates, optimization, volumes, work, arc length, improper integrals), with graphing calculator requirements noted.
• Advanced topics: infinite series and differential equations; multivariable functions and optimization (Lagrange multipliers, vector algebra, iterated integrals, Jacobian); axiomatic Euclidean geometry and proof techniques; combinatorics and graph theory (algorithms, logic, circuits, counting, applications); linear algebra (vector spaces, matrices, determinants, eigenvalues/eigenvectors, Gram‑Schmidt, computational software demonstrations); and further study of ordinary differential equations with emphasis on linear systems and existence/uniqueness theory.
• Number theory topics such as divisibility, congruences, prime distribution, Euclidean algorithm, Diophantine equations and proof practice.

Entry requirements

Applications are reviewed year‑round. The programme materials state there is no application fee and applicants are not required to submit essays or sit exams. Several courses list prerequisites (for example MTH 12A/B or Accuplacer placement evaluation; ANA 200; MTH 215 or MTH 216A/B for calculus‑level courses), and placement may be determined by Accuplacer testing.

Career prospects

The programme positions graduates for careers as mathematical scientists, mathematical technicians and teachers. Coursework is intended to prepare students for professional work or teaching in mathematics and to build transferable skills in reasoning, problem solving and quantitative communication that apply across STEM and data‑focused roles.

Scholarships & funding angle

The published programme page does not list specific scholarships or tuition figures. Prospective students should consult National University’s admissions and financial aid offices for current scholarship opportunities, grants, and assistance options that apply to online undergraduate students.