Claremont Graduate University MS in Statistics & Machine Learning

The Claremont Graduate University MS in Statistics & Machine Learning is a 32-unit, campus-based graduate program that combines advanced statistics with direct machine learning coursework. Students choose core courses across statistics, machine learning, and applied statistics, then add restricted and unrestricted electives. CGU estimates about two years for full-time completion.

Quick Facts

SchoolClaremont Graduate University
LocationClaremont, California
DegreeMS in Statistics & Machine Learning
Units32
FormatCampus / In Person
LengthAbout 2 years full time
Estimated Tuition$66,240 before fees
ML FocusHigh: statistical learning, mathematics of machine learning, data mining, big data, computational statistics

Curriculum

The official curriculum requires a minimum of eight graduate mathematics courses totaling 32 units. Students complete four core courses, two restricted electives, and two unrestricted electives. At least 20 units must be 300-level or higher coursework.

The four core courses must include at least one course from each of three areas: statistics, machine learning, and applied statistics. Machine learning options include Math 454: Statistical Learning, Math 462: Mathematics of Machine Learning, and Math 364: Machine Learning for Asset Pricing. Applied statistics options include Computational Statistics, Advanced Big Data Analysis, Large-scale Inference, and Data Mining.

Restricted electives can include Probability, Statistical Theory, Stochastic Processes, Optimization, Time Series Data Analysis, Statistical Methods in Molecular Biology, and approved advanced mathematics topics. Unrestricted electives may come from CGU mathematics or approved courses in other CGU or Keck Graduate Institute programs where statistics or machine learning is used extensively.

Credits and Program Length

The degree requires 32 units. CGU lists an estimated completion time of two years for full-time students. Students who enter without all prerequisite undergraduate coursework may need to complete more than 32 units, which can increase both the time and cost of the degree.

Tuition and Cost

CGU’s 2026-27 tuition schedule lists standard graduate tuition at $2,070 per unit. At 32 required units, estimated base tuition is $66,240. This is a calculated estimate and does not include mandatory student fees, technology fees, health coverage, books, housing, or other living expenses.

CGU also charges semester-based student and technology fees. Actual costs can be higher if a student needs prerequisite coursework or takes more than the minimum 32 units.

Admissions

CGU states that applicants should hold a bachelor’s degree in mathematics or statistics, or have adequate preparation in mathematics, computing, and probability/statistics. Applicants from other majors can qualify if they have the required quantitative background.

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Preparation: Multivariate calculus, linear algebra, programming experience in a language such as R, MATLAB, or Python, plus probability and statistics coursework are expected. Application: CGU requires a statement of purpose, resume, transcripts, and two letters of recommendation. The GRE is optional but recommended. International applicants must meet English proficiency requirements unless eligible for an exemption or waiver.

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Applicants should confirm current requirements and deadlines on the program’s application guidelines before applying.

Machine Learning and AI Focus

This degree has a strong and direct machine learning focus. Machine learning is part of the degree name and one of the required core curriculum categories. Students can study statistical learning, mathematical foundations of machine learning, data mining, big data analysis, computational statistics, and related quantitative methods.

The program approaches machine learning from a mathematical and statistical direction. Students who want deeper theory and quantitative modeling may prefer this structure to an AI master’s centered mainly on software development or application building.

Campus Format

CGU classifies the MS in Statistics & Machine Learning as in person. The program is based in Claremont, California. It is not presented as an online or hybrid master’s degree.

Independent Study and Research

Students may replace one formal course with Math 398: Independent Study. The independent study is completed with a research advisor and leads to a publication-quality technical report in statistical or data science. With advisor approval, relevant professional mathematical or statistical project work may also provide the basis for an independent study.

Students also have access to CGU’s Engineering & Computational Mathematics Clinic, which connects mathematical work with projects for industry and government organizations.

Who Is This Program Best For?

This program is a strong option for students who want machine learning training grounded in statistics, probability, and mathematics. It fits applicants with solid quantitative preparation who want to work in data science, statistical modeling, machine learning, analytics, or related technical fields. Students looking for a fully online degree or a broader computer science curriculum should compare other programs.

Bottom Line

Claremont Graduate University’s MS in Statistics & Machine Learning is a clear fit for students comparing machine learning master’s programs. The degree requires 32 units, takes about two years full time, and has estimated base tuition of $66,240 before fees at the 2026-27 standard tuition rate. Its main strength is the combination of rigorous statistics with dedicated machine learning coursework, including statistical learning, mathematics of machine learning, data mining, and big data analysis.