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2 Years On Campus Masters Program
University of California Los AngelesThe Master of Applied Statistics (MAS) at UCLA is a professionally oriented, STEM-designated graduate program designed to prepare students for careers in data analysis, statistical consulting, and quantitative research across a wide range of industries. Administered by the Department of Statistics and Data Science, this program emphasizes applied learning, statistical computing, and real-world data applications.
Ideal for students from quantitative backgrounds—including mathematics, economics, computer science, or engineering—the MAS program equips graduates with a solid foundation in statistical modeling, machine learning, and data interpretation, tailored for high-impact roles in both the private and public sectors.
Program Format & Duration
Full-time, on-campus program (Los Angeles, CA)
Duration: 1.5 years (4 quarters + summer)
STEM-designated (eligible for up to 3 years OPT)
Fall intake only
Culminates in a capstone consulting project
Core Curriculum Components
The MAS program offers a comprehensive and practical curriculum grounded in statistical theory, programming, and communication.
Core Courses
Statistical Methods & Modeling
Regression Analysis
Design of Experiments
Generalized Linear Models
Multivariate Analysis
Time Series Analysis
Statistical Computing & Data Tools
Statistical Programming in R and Python
Data Wrangling and Visualization
Machine Learning Methods
Statistical Consulting Practicum
Capstone Consulting Practicum
Students work in teams to solve real-world problems posed by external clients
Emphasis on communication, stakeholder management, and deliverables
Supervised by faculty with industry-relevant expertise
Electives (Sample Options)
Bayesian Statistics
Nonparametric Methods
Survival Analysis
Biostatistics and Health Data
Data Ethics and Privacy
UCLA’s MAS program strongly emphasizes practical and project-based learning to ensure students are career-ready.
Capstone Project
A core feature of the program where students work with real companies or research institutions
Past clients have included organizations from tech, healthcare, public policy, and finance
Final deliverables include a professional report and presentation
Statistical Consulting
Students gain hands-on experience through consulting projects under faculty supervision
Opportunities to tackle open-ended problems and interface directly with clients
Emphasizes critical thinking, adaptability, and data storytelling
Career Development
Dedicated career support includes résumé reviews, interview prep, and employer networking
Access to UCLA’s vast alumni network and internship opportunities in Los Angeles and beyond
Optional internship during the summer quarter
Graduates of the UCLA MAS program are well-positioned to enter data-intensive roles across diverse domains such as business, healthcare, entertainment, public policy, and academia.
Career Outcomes
Common job titles include:
Data Analyst
Statistician
Data Scientist
Quantitative Researcher
Statistical Programmer
Risk or Marketing Analyst
Top Employers
Alumni are placed at:
Google, Netflix, Amazon
Cedars-Sinai, Amgen, UCLA Health
Disney, Sony Pictures
Federal and State Government Agencies
Consulting firms, financial services, and startups
Further Study
Graduates may also pursue:
PhDs in Statistics, Biostatistics, or Data Science
MBA or MPA programs with a data analytics concentration
Professional certifications in data tools or platforms
Bachelor’s Degree: Hold a U.S. bachelor’s or international equivalent from an accredited institution.Quantitative Background: Complete at least 12 upper-division quarter courses (or 8 semester courses) in quantitative subjects—like statistics, mathematics, computer science, or engineering—with strong foundation in linear algebra, multivariate calculus, probability/statistics, and programming.GPA Requirements: Maintain a GPA of B (3.0) or better overall in the last 60 semester/90 quarter units, and at least a 3.2 GPA in upper-division courses. Transcripts: Upload unofficial transcripts during application and submit official (and certified English translations, if needed) copies upon admission.GRE (Optional): GRE General Test scores are optional but highly recommended (must be taken by Feb 1). Statements: Provide a Statement of Purpose and a Personal Statement explaining academic and professional readiness and career goals.Résumé/CV: Submit a résumé or CV highlighting relevant work experience, quantitative skills, and accomplishments. Letters of Recommendation: Provide two required letters (from academic or professional referees), with an optional third letter accepted.English Proficiency (International): Submit TOEFL or IELTS scores unless exempt based on prior US work or education; test must be taken by Feb 1. Application Fee: Pay the application fee (2024–25: US $135 for US residents; $155 for others).Deadline: Apply online by March 1 for fall admission; late applications are considered on a case-by-case basis. Three‑Year Bachelor’s Degrees: Applicants must hold a U.S.-equivalent bachelor’s degree, and while three‑year degrees aren’t explicitly addressed, candidates with such degrees should verify equivalency case-by-case with Graduate Division .WES Evaluation: Official transcripts must be sent directly from your institution, and although WES or similar credential evaluations are accepted, they are optional and cannot replace official records .Data AnalystData ScientistBusiness AnalystStatisticianStatistical ProgrammerSAS ProgrammerMachine Learning EngineerDeep Learning EngineerAI ResearcherData EngineerBI DeveloperData ArchitectAnalytics ConsultantAdvisory ConsultantQuantitative AnalystRisk AnalystOperations AnalystMarketing AnalystResearch ScientistInsights AnalystForecasting AnalystHealthcare Data AnalystFinancial Data AnalystProduct Analyst
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