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The degree program has two option areas: applied and theoretical. Courses are chosen from four field areas: *Advanced Theory and Stochastic Processes, *Linear Models and Multivariate Analysis, *Data Analysis, *and Econometrics and Time Series. For both... Read more options, the core requirements include Stat 443, 512, 530, 533, 556, at least one course in statistical computing, and a minimum of two credit hours of statistical consulting (Stat 590) spread over two semesters. The remainder of the 30 hours must include a total of at least 3 courses from 2 field areas, chosen from the following: *Advanced Theory and Stochastic Processes: Stat 542, 544, 548, or 549. *Linear Models and Multivariate Analysis: Stat 519, 520, 535. *Data Analysis: Stat 422, 428, 513, 514, 515, 518, 536, 547, 555, 572, or 573. *Econometrics and Time Series: Stat 516, 531, 552, 555, or 586. The final Master's oral exam is a two-hour oral exam conducted by the student's M.S. committee. The oral exam will consist of (i) a 30-minute presentation of the student's Master's project, (ii) a 15-minute period following the Master's project presentation for questions by the committee related to the results contained in the Master's project, and, (iii) a 75-minute period devoted to a comprehensive oral exam covering the material in Stat 443, Stat 512, Stat 530, Stat 533, Stat 556 as well as material covered in additional course work. The student is expected to be thoroughly familiar with a wide array of statistical concepts as contained in the list of topics and concepts obtained from the department. This MS program is designed to lead the student to the following learning outcomes: Problem solving skills: Students are expected to learn the fundamental tools of statistical modeling and implementation. Skills for identifying and solving statistical problems arising in various interdisciplinary areas is an important expected learning outcome associated with this degree. Ability to work individually or in groups: Statistical modeling can be pursued at an individual level or as part of a group effort with the group comprised of experts in various allied fields. The students are expected to develop such skills so that modeling and analysis gets done in a timely and efficient manner. Communication skills: Good communication skills are expected so that students can present in an effective manner the interpretation, as well as implications of the results obtained from a statistical model and its analysis.Read less
Program overview
Main Subject
Mathematics
Study Level
Masters
The degree program has two option areas: applied and theoretical. Courses are chosen from four field areas: *Advanced Theory and Stochastic Processes, *Linear Models and Multivariate Analysis, *Data Analysis, *and Econometrics and Time Series. For both... Read more options, the core requirements include Stat 443, 512, 530, 533, 556, at least one course in statistical computing, and a minimum of two credit hours of statistical consulting (Stat 590) spread over two semesters. The remainder of the 30 hours must include a total of at least 3 courses from 2 field areas, chosen from the following: *Advanced Theory and Stochastic Processes: Stat 542, 544, 548, or 549. *Linear Models and Multivariate Analysis: Stat 519, 520, 535. *Data Analysis: Stat 422, 428, 513, 514, 515, 518, 536, 547, 555, 572, or 573. *Econometrics and Time Series: Stat 516, 531, 552, 555, or 586. The final Master's oral exam is a two-hour oral exam conducted by the student's M.S. committee. The oral exam will consist of (i) a 30-minute presentation of the student's Master's project, (ii) a 15-minute period following the Master's project presentation for questions by the committee related to the results contained in the Master's project, and, (iii) a 75-minute period devoted to a comprehensive oral exam covering the material in Stat 443, Stat 512, Stat 530, Stat 533, Stat 556 as well as material covered in additional course work. The student is expected to be thoroughly familiar with a wide array of statistical concepts as contained in the list of topics and concepts obtained from the department. This MS program is designed to lead the student to the following learning outcomes: Problem solving skills: Students are expected to learn the fundamental tools of statistical modeling and implementation. Skills for identifying and solving statistical problems arising in various interdisciplinary areas is an important expected learning outcome associated with this degree. Ability to work individually or in groups: Statistical modeling can be pursued at an individual level or as part of a group effort with the group comprised of experts in various allied fields. The students are expected to develop such skills so that modeling and analysis gets done in a timely and efficient manner. Communication skills: Good communication skills are expected so that students can present in an effective manner the interpretation, as well as implications of the results obtained from a statistical model and its analysis.Read less
Admission Requirements
7+
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
Master of Science in Statistics
Washington State University - Pullman, Pullman, United States
# 401-450QS Subject Rankings
MathematicsMain Subject Area
Program overview
Main Subject
Mathematics
Study Level
Masters
Read more options, the core requirements include Stat 443, 512, 530, 533, 556, at least one course in statistical computing, and a minimum of two credit hours of statistical consulting (Stat 590) spread over two semesters. The remainder of the 30 hours must include a total of at least 3 courses from 2 field areas, chosen from the following: *Advanced Theory and Stochastic Processes: Stat 542, 544, 548, or 549. *Linear Models and Multivariate Analysis: Stat 519, 520, 535. *Data Analysis: Stat 422, 428, 513, 514, 515, 518, 536, 547, 555, 572, or 573. *Econometrics and Time Series: Stat 516, 531, 552, 555, or 586. The final Master's oral exam is a two-hour oral exam conducted by the student's M.S. committee. The oral exam will consist of (i) a 30-minute presentation of the student's Master's project, (ii) a 15-minute period following the Master's project presentation for questions by the committee related to the results contained in the Master's project, and, (iii) a 75-minute period devoted to a comprehensive oral exam covering the material in Stat 443, Stat 512, Stat 530, Stat 533, Stat 556 as well as material covered in additional course work. The student is expected to be thoroughly familiar with a wide array of statistical concepts as contained in the list of topics and concepts obtained from the department. This MS program is designed to lead the student to the following learning outcomes: Problem solving skills: Students are expected to learn the fundamental tools of statistical modeling and implementation. Skills for identifying and solving statistical problems arising in various interdisciplinary areas is an important expected learning outcome associated with this degree. Ability to work individually or in groups: Statistical modeling can be pursued at an individual level or as part of a group effort with the group comprised of experts in various allied fields. The students are expected to develop such skills so that modeling and analysis gets done in a timely and efficient manner. Communication skills: Good communication skills are expected so that students can present in an effective manner the interpretation, as well as implications of the results obtained from a statistical model and its analysis. Read less
Program overview
Main Subject
Mathematics
Study Level
Masters
Read more options, the core requirements include Stat 443, 512, 530, 533, 556, at least one course in statistical computing, and a minimum of two credit hours of statistical consulting (Stat 590) spread over two semesters. The remainder of the 30 hours must include a total of at least 3 courses from 2 field areas, chosen from the following: *Advanced Theory and Stochastic Processes: Stat 542, 544, 548, or 549. *Linear Models and Multivariate Analysis: Stat 519, 520, 535. *Data Analysis: Stat 422, 428, 513, 514, 515, 518, 536, 547, 555, 572, or 573. *Econometrics and Time Series: Stat 516, 531, 552, 555, or 586. The final Master's oral exam is a two-hour oral exam conducted by the student's M.S. committee. The oral exam will consist of (i) a 30-minute presentation of the student's Master's project, (ii) a 15-minute period following the Master's project presentation for questions by the committee related to the results contained in the Master's project, and, (iii) a 75-minute period devoted to a comprehensive oral exam covering the material in Stat 443, Stat 512, Stat 530, Stat 533, Stat 556 as well as material covered in additional course work. The student is expected to be thoroughly familiar with a wide array of statistical concepts as contained in the list of topics and concepts obtained from the department. This MS program is designed to lead the student to the following learning outcomes: Problem solving skills: Students are expected to learn the fundamental tools of statistical modeling and implementation. Skills for identifying and solving statistical problems arising in various interdisciplinary areas is an important expected learning outcome associated with this degree. Ability to work individually or in groups: Statistical modeling can be pursued at an individual level or as part of a group effort with the group comprised of experts in various allied fields. The students are expected to develop such skills so that modeling and analysis gets done in a timely and efficient manner. Communication skills: Good communication skills are expected so that students can present in an effective manner the interpretation, as well as implications of the results obtained from a statistical model and its analysis. Read less
Admission Requirements
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
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QS subject rankings
Subject: Mathematics
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