About Us Contact Us Employment Opportunities People Faculty Graduate Students Staff Undergraduate Undergraduate Program FAQ’s Why Major in Mathematics, Applied Mathematics and Statistics Bachelor and Minor Requirements Transfer Credit Policy Tutoring Schedule Mathematics (MATH) Courses Statistics (STAT) Courses Math Tutoring Center Math Proficiency Exams Graduate Frequently Asked Questions Admission Financial Aid Masters and PhD Requirements Integrated Graduate Studies Program Graduate Courses Mathematics Graduate Student Association Directed Reading Program Careers News & Events News and Events Department of MAMS Newsletter Colloquia Upcoming Colloquia Past Colloquia Seminars Upcoming Seminars Past Seminars DataFest DataFest 2025 DataFest 2024 DataFest 2023 DataFest 2020 DataFest 2019 DataFest 2018 DataFest 2017 DataFest FAQ DataFest Testimonials Past Sponsors The annual Elizabeth S. Meckes Memorial Lecture Public Lecture Student Presentations Past Student Presentations Research Research Areas Publications Presentations Resources Undergraduate Student Resources Graduate Student Resources Faculty Resources Giving The dual core of the Master of Science program in Statistics is mathematical statistics and modern data analysis, with the option of a special Entrepreneurial Track. Expanding from this core, students develop technical facilities in a variety of statistical methodologies. This breadth of competence is designed to equip graduates to go beyond the appropriate choice of method for implementation and to be able to adapt these techniques and to construct new methods to meet the specific objectives and constraints of new situations. The MS degree in statistics requires a minimum of 30 credit hours of approved coursework in statistics and related disciplines, at least 18 of which must be at the 400-level or higher. Each student’s program is developed in consultation with a faculty mentor. The student must pass a comprehensive written exam. In conjunction with a faculty mentor, the student may substitute the comprehensive examination requirement with an expository or original thesis, which will count as 6 credit hours of coursework for STAT 651. This thesis would be defended in the course of an oral examination, during which the student would be questioned about the thesis and related topics. These two variants correspond to the graduate school’s Master’s Non-Thesis and Master’s Thesis options.
The dual core of the Master of Science program in Statistics is mathematical statistics and modern data analysis, with the option of a special Entrepreneurial Track. Expanding from this core, students develop technical facilities in a variety of statistical methodologies. This breadth of competence is designed to equip graduates to go beyond the appropriate choice of method for implementation and to be able to adapt these techniques and to construct new methods to meet the specific objectives and constraints of new situations. The MS degree in statistics requires a minimum of 30 credit hours of approved coursework in statistics and related disciplines, at least 18 of which must be at the 400-level or higher. Each student’s program is developed in consultation with a faculty mentor.
The student must pass a comprehensive written exam. In conjunction with a faculty mentor, the student may substitute the comprehensive examination requirement with an expository or original thesis, which will count as 6 credit hours of coursework for STAT 651. This thesis would be defended in the course of an oral examination, during which the student would be questioned about the thesis and related topics. These two variants correspond to the graduate school’s Master’s Non-Thesis and Master’s Thesis options.
The Master of Science in Statistics–Entrepreneurial Track is a professional degree designed to provide training in statistics focused on developing data analysis and decision-making skills in industrial, government, and consulting environments where uncertainties and related risks are present. It expands our master’s program in statistics by creating a professional track that includes some business training. The Entrepreneurial Track provides instruction and real-world business experience to students who have a background in statistics and a vision for new and growing ventures. This program requires a minimum of 30 credit hours.
The required New Venture Creation and Technology Entrepreneurship courses will be offered by the Weatherhead School of Management. Students on internships will sign up for the consulting forum sequence. In addition, students are required to participate in an intensive (up to 30 hours) one-week annual workshop on the industrial use of statistics from the management perspective. This non-credit workshop will take place during the fall or spring undergraduate breaks.
| QS 综合 | 院校 | 学制 | 学费 |
|---|---|---|---|
| 第 2 位 | 帝国理工学院Imperial College London | 1年 | 44800英镑/年 |
| 第 8 位 | 伦敦大学学院University College London | 1年 | 44400英镑/年 |
| 第 8 位 | 苏黎世联邦理工学院ETH Zurich | 1.5年 | 1460瑞士法郎/年 |
| 第 10 位 | 新加坡国立大学National University of Singapore | 1年 | 52320新币/年 |
| 第 18 位 | 香港中文大学（深圳）The Chinese University of Hong Kong, Shenzhen | 2年 | 144000人民币/年 |
| 第 32 位 | 多伦多大学University of Toronto | 3 个学期（全日制），注册序列 FWS；6 个学期（非全日制） | - |
| 第 37 位 | 伦敦国王学院King's College London | 1年 | 42900英镑/年 |
| 第 40 位 | 曼彻斯特大学The University of Manchester | 1年 | 39200英镑/年 |