Masters degree in Statistics at Harvard University

 

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Masters Degree in Statistics at Harvard University

Harvard University
Master's degree
Statistics

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-Degree Requirements-
The Department of Statistics welcomes applicants for the terminal AM degree. Typical AM candidates are PhD candidates in another field at Harvard for whom a statistics minor is appropriate, well-prepared undergraduates eligible for the AB/AM program, and candidates with appropriate mathematics backgrounds (linear algebra and multivariate calculus) who can demonstrate motivation for pursuing a terminal AM degree. As the Department of Statistics cannot provide tuition fellowships for terminal AM candidates, candidates seeking only the AM degree must be financially self-supporting. Teaching fellowships may be available for partial financial support.

The AM degree requires the satisfactory completion of eight half-courses approved by the department, normally requiring two terms of residence and study at Harvard. The courses must include at least five letter-graded half-courses at the level of Statistics 110 and above taken within the Department of Statistics. Students with minimal previous statistics background will be required to take at least six letter-graded Statistics Department courses. The actual course of study will vary according to the student's interest and preparation and will be determined in consultation with the student's advisor. Statistics 110 or 210 and Statistics 111 or 211 or equivalent are required. AM students must earn a B average in Statistics courses and no more than one C in all courses. Terminal AM students can take at most one 300-level course, which ordinarily cannot be used to meet the minimum requirement for letter-graded statistics courses.

The remaining two or three half-courses may include courses in related areas (such as economics, psychology, and biostatistics) that develop statistical methodology and are judged to be at an equivalent level to Statistics 110 or above. They may also include upper-level mathematics courses, computer science courses, or, in some cases, other courses that broaden the student's ability to apply statistical methods. The department maintains a list of approved related courses. Generally, the department encourages a coherent theme connecting the related courses.

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