Overview
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.
Advising
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.
Programme Structure
Courses include:
- Applied Probability
- Theoretical Statistics
- High Dimensional Statistics
- Research Design, Sampling, and Analysis
- Statistical Modeling and Learning
- Statistics Programming
Key information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before
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Language
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Credits
Quarter Units
Delivered
Campus Location
- Beverly Hills, United States
Disciplines
Statistics View 315 other Masters in Statistics in United StatesWhat students do after studying
Academic requirements
English requirements
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- 98 accuracy using real exam data
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Other requirements
General requirements
- 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
Tuition Fees
-
International Applies to you
Applies to youNon-residents36297 USD / year≈ 36297 USD / year - Out-of-State36297 USD / year≈ 36297 USD / year
-
Domestic
Applies to youIn-State21115 USD / year≈ 21115 USD / year
Living costs
Beverly Hills
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Financing
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Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Statistics.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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