Areas of Study
The strengths of current and prospective faculty of the Statistics program of the University of California, Los Angeles (UCLA) dictate the specific fields of emphasis in the department: applied multivariate analysis; bioinformatics (Center for Statistical Research in Computational Biology); computational and computer-intensive statistics; computer vision; cognition; artificial intelligence; machine learning (Center for Vision, Cognition, Learning, and Autonomy); social statistics (Center for Social Statistics); experimental design and environmental statistics.
The vice chair for graduate studies is the chief graduate adviser and heads a committee of faculty advisers who may serve as academic advisers. The research interests of the members of this committee span most of the major areas of statistics. During their first quarter in the program students are required to meet with an academic adviser who assists them in planning a reasonable course of study. In addition, the academic adviser is responsible for monitoring the student’s degree progress and approving the study list each quarter. After the student identifies a thesis topic, the chair of the thesis committee becomes the student’s academic adviser.
Continuing students should meet with either the vice chair for graduate studies or their academic adviser at least once each quarter and a record of this interview is placed in the student’s academic file. Each fall a committee consisting of all regular departmental faculty meet to evaluate the progress of all enrolled M.S. degree students. This committee decides if students are making satisfactory progress, and if not offers specific recommendations to correct the situation. For students who have begun thesis work, the determination of satisfactory progress is typically delegated to the academic adviser. Students who are found to be consistently performing unsatisfactorily may be recommended for termination by a vote of this committee.
Get more detailsVisit official programme website
- Applied Probability
- Theoretical Statistics
- High Dimensional Statistics
- Research Design, Sampling, and Analysis
- Statistical Modeling and Learning
- Statistics Programming
- 12 months
Start dates & application deadlines
- Apply before
DisciplinesStatistics Bioinformatics Machine Learning View 191 other Masters in Machine Learning in United States
- GRE – The Official General Test from ETS
- Three (3) letters of recommendation. Letters should emphasize the applicant’s level of preparation for graduate study in Statistics
- Submission of the Online Graduate Application
- Statement of Purpose
- A bachelor’s degree in statistics is not required for the M.S. program, but applicants should have taken at least 12 quarter courses in substantial upper division quantitative work, including, but not limited to, courses in statistics, mathematics, computer science, and electrical engineering. M.S. applicants must have a cumulative grade-point average of at least 3.2 in their upper division courses
- Foreign applicants must send their original transcripts and English translations (if applicable), TOEFL or IELTS scores, Confidential Financial Statement
International32588 USD/yearTuition FeeBased on the tuition of 32588 USD per year during 12 months.
National32588 USD/yearTuition FeeBased on the tuition of 32588 USD per year during 12 months.
In-State17486 USD/yearTuition FeeBased on the tuition of 17486 USD per year during 12 months.
Living costs for Beverly Hills
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
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Updated in the last year
Check the official programme website for potential updates.