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Statistics, MS at Tulane University

Tulane University, United States

Programme overview

The Master of Science degree in Statistics combines theory and application. Our program emphasizes rigorous coursework in probability and mathematical statistics in addition to training in data analysis and computational methods. Graduates from the M.S. program may either directly enter the workforce as junior level statisticians or continue their studies in pursuit of a more advanced degree.

Faculty: School of Science and Engineering  |  Duration: 30 credit hours  |  Study mode: full-time  |  Location: New Orleans, LA, United States

What you will study

Course prerequisites include the equivalent of MATH 6070 Intro To Probability (3 c.h.), MATH 6080 Intro to Statistical Inference (3 c.h.) and MATH 6090 Linear Algebra (3 c.h.). Enrollment in prerequisites does not provide credit towards the M.S. degree. Non-Thesis Option

Official programme page

Application information

Entry requirements

Curriculum Requirements Course prerequisites include the equivalent of MATH 6070 Intro To Probability (3 c.h.), MATH 6080 Intro to Statistical Inference (3 c.h.) and MATH 6090 Linear Algebra (3 c.h.). Enrollment in prerequisites does not provide credit towards the M.S. degree.

Tuition is charged per credit, so the total depends on the modules you register for each year. Current fees are listed in the official fee schedule.

Each school at Tulane administers its own graduate and professional admission process.

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