As part of the Completion Exercise for the Master of Science in Statistical Science, you may write and present your Master's Thesis. This oral examination is administered by your Master's Committee. Students choosing to defend a thesis should begin work on their research as early as possible, preferably in their second semester or summer of their first year in the program. Please give yourself enough time to write your thesis. Your thesis advisor (chair of your committee) should approve your thesis title. The work has to be approved by all members of your committee.
ALL STUDENTS CHOOSING TO DO A THESIS SHOULD SUBMIT A THESIS PROPOSAL (MAXIMUM TWO PAGES) TO THE MS DIRECTOR BY OCTOBER 15 (THIRD SEMESTER). THE THESIS PROPOSAL SHOULD INCLUDE A TITLE (TENTATIVE THAT CAN BE REFINED LATER), A LIST OF THREE COMMITTEE MEMBERS (TWO SHOULD BE FROM STATISTICS INCLUDING THE CHAIR) AND A DESCRIPTION OF YOUR WORK.
NOTE: THE MASTERS THESIS COMMITTEE SHOULD BE FORMED AND APPROVED BY GRADUATE SCHOOL AT LEAST 30 DAYS PRIOR TO YOUR DEFENSE.
For details, see the document below.
The Thesis consists of a detailed written report on a project approved by the M.S. Director, covering aspects of your contribution to the project area:
- summary of contributions and results
- discussion of open questions
- bibliographic material
The Master's Thesis and its submission must conform to the Duke University Graduate School M.S. thesis requirements.
All students choosing to do Master's Thesis should follow the steps outlined in this document.
Thesis titles of the Spring 2020 Graduates ( links to be updated soon)
|Bayesian Dynamic Network Modeling for Social Media Political Talk|
|Easy & Efficient Bayesian Infinite Factor Analysis|
|Bayesian Dynamic Network Modeling with Censored Flow Data|
|Missing Data Imputation for Voter Turnout Using Auxiliary Information|
|Exploring Amazon CD Reviews with Machine Learning Methods|
|Geometric & Topological Approaches to Addressing Two Gesture Recognition Concerns|
|Construction of Objective Bayesian Prior from Bertrand's Paradox and the Principle of Indifference|
|Generalized Optimal Sparse Decision Tree|
Thesis titles of the Spring 2019 Graduates ( with links)
Thesis titles of the Spring 2018 Graduates