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University of California, Los Angeles (UCLA) Course/Program Name
Application closes on
National :15 Dec 
International :15 Dec 

MAS Master of Applied Statistics

Catalog id : 00BB
 Course Level
Masters / PG
Full Time

1.5 Years
 Start month

 Tuition fee

31011.74 USD
15909.74 USD

Application fee

International 110 USD
National 90 USD
The Department of Statistics
Scores accepted
IELTS (min)7
TOEFL-IBT (min)85
TOEFL-PBT (min)560
GRE (avg)315
GMAT (avg)704

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About this course

Areas of Study

The strengths of current and prospective faculty dictate the specific fields of emphasis in the department: applied multivariate analysis; bioinformatics; computational and computer-intensive statistics; computer vision; pattern recognition; machine learning; and social statistics.

Check further details on University website

Eligibility Criteria

  • The general requirement for admission for a U.S. student is a bachelor’s degree from a regionally accredited institution, comparable in standard and content to a bachelor’s degree from the University of California. A scholastic average of B (3.0 on a 4.0 scale) or better is required or its equivalent if the letter grade system is not used—for the last 60 semester units or last 90 quarter units of undergraduate study and in any post-baccalaureate study.
  • Degrees which are not considered comparable include those granted on the basis of work completed at institutions which are not fully accredited and those granted on the basis of non-academic prior learning, test scores, or other than organized supervised coursework in academic subjects.
  • An international student whose post-secondary education is completed outside of the U.S. is expected to hold a degree representing completion of at least four years of study with above average scholarship from a university or university-level institution.
  • Minimum scores in TOEFL(on the paper and pencil test must be at least 560 or at least 87 on the internet-based test.) and IELTS(7.0)
  • Applicants must have a cumulative grade-point average of at least 3.2 in upper division courses.

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Course Modules

The candidate will be offered the following graduate courses:

  • 200A. Applied Probability
  • 200B. Theoretical Statistics
  • 200C. Large Sample Theory, Including Resampling
  • 201A. Research Design, Sampling, and Analysis
  • 201B. Statistical Modeling and Learning
  • 201C. Advanced Modeling and Inference
  • 202A. Statistics Programming
  • 202B. Matrix Algebra and Optimization
  • 202C. Monte Carlo Methods for Optimization
  • 204. Nonparametric Function Estimation and Modeling
  • C216. Social Statistics
  • 218. Statistical Analysis of Networks
  • M222. Spatial Statistics
  • C225. Experimental Design
  • M230. Statistical Computing
  • M231. Pattern Recognition and Machine Learning
  • M232A. Statistical Modeling and Learning in Vision and Science
  • M232B. Statistical Computing and Inference in Vision and Image Science
  • C236. Introduction to Bayesian Statistics
  • 238. Vision as Bayesian Inference
  • 240. Multivariate Analysis
  • M241. Current Topics in Causal Modeling, Inference, and Reasoning
  • M242. Multivariate Analysis with Latent Variables
  • M243. Logic, Causation, and Probability
  • M244. Statistical Analysis with Latent Variables
  • C245. History and Theory of Statistics
  • 246. Statistical Model Selection
  • CM248. Applied Sampling
  • M250. Statistical Methods for Epidemiology
  • M254. Statistical Methods in Computational Biology
  • C261. Introduction to Pattern Recognition and Machine Learning
  • 271. Probabilistic Models of Visual Cortex
  • C273. Applied Geostatistics
  • C283. Statistical Models in Finance
  • 285. Seminar: Computing for Statistics
  • M286. Seminar: Statistical Problem Solving for Population Biology
  • 287. Seminar: Gene Expression and Systems Biology
  • 290. Current Literature in Statistics
  • 291SL. Service Learning for Graduate Statistical Consulting
  • 292. Graduate Student Statistical Packages Seminar
  • 294. Scientific Writing
  • 296. Participating Seminar: Statistics
  • 297SL. Service Learning and Community Learning for Statistics
  • 375. Teaching Apprentice Practicum
  • 485. Statistics Programming and Analysis with R
  • 495A. Teaching College Statistics
  • 495B. Teaching College Statistics
  • 596. Directed Individual Study or Research
  • 598. M.S. Thesis Research
  • 599. Ph.D. Dissertation Research

Check further details on University website

How to Apply

  • Choose a program that is right for you.Once you have decided to apply, check the academic requirements and proceed online.
  • If you are applying to UCLA as a graduate student for the first time, or if you have applied before but were not admitted, complete all parts of the application. For the graduate program, the application is considered only if it is applied through the link provided.
  • The decisions will be announced starting in February and continuing throughout summer. Then decide and accept the program.

Materials to Be Uploaded or Sent to the Department:

  • Transcripts- One official copy of yError! Hyperlink reference not valid.our transcripts should be sent directly from the registrars of the academic institutions you have attended
  • Fellowship Application for Entering Graduate Students
  • Statement of Purpose
  • Letters of Recommendation- 3

Check further details on University website

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