Applied Statistics Data Analysis Project
Overview
Being the third leg of the comprehensive examination requirements, the two week long Data Analysis Project
(AMSC 762) is designed to test the students' skills in the following 3 aspects:
- Formulating and justifying the appropriate model for the data;
- Choosing the proper algorithms to analyze the data based on the selected model;
- Producing a well-written report which contains both analysis result and theoretical/empirical support.
Course Description
AMSC 762
Data Analysis Project
(1 credit)
The course cannot be used to meet any of the Applied Statistics Area's seminar requirements.
This yearly course will be required of and limited to MS non-thesis and doctoral students in the Applied
Statistics Concentration.
The completion of this course consists of the following three parts:
- Attend 6 to 8 lectures or presentations on desirable components of successful data analyses and
written reports summarizing them, followed by discussion of previous student project submission.
- During the winter break, student will choose one of the three projects available and perform
data analysis on the given dataset, supplemented by any relevant publicly available data one can
find..
- Within the two week time frame student will produce a written report in a scientific fashion,
summarizing the data source, justifying the data-analytic methods chosen, reporting data-analyzing
results and the related reference.
Note: The course AMSC 762 has been applied for but not yet officially approved.
Resources
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Candidacy Resources
Candidacy Requirements
Candidacy Examination Proposal Form (prospectus)
Prospectus Examples
Oral Exam Announcement
Exam Report - Candidacy
Application for Admission to Candidacy
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