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Master of Science in Statistics
在德州大學達拉斯分校
關於課程
The Master of Science in Statistics degree program balances applied and theoretical coursework — along with numerous elective courses in specialized subjects and subfields — so that students acquire advanced data analysis training and the kinds of sophisticated skillsets that prepare the way for high-level careers in corporate, nonprofit or governmental organizations.
Students in the Statistics program can tailor the curriculum to their interests and career aspirations by choosing one of three tracks:
Statistics Track: Students who pursue this track receive a solid foundation and deep background in theoretical and applied statistics, making it possible for them to pursue doctoral education or enter the job market.
Applied Statistics Track: The Applied Statistics Track is typically for students who wish to enter the job market after completing the master’s degree program. This track is particularly popular among students who already have a background in another discipline but would like to build expertise in statistics to enhance their employment opportunities.
Data Science Track: Students who choose this interdisciplinary track take a balanced mix of courses in Statistics, Computer Science and Mathematics, equipping them with the knowledge and experiences they’ll need to pursue careers related to Big Data.
Students in the Statistics program can tailor the curriculum to their interests and career aspirations by choosing one of three tracks:
Statistics Track: Students who pursue this track receive a solid foundation and deep background in theoretical and applied statistics, making it possible for them to pursue doctoral education or enter the job market.
Applied Statistics Track: The Applied Statistics Track is typically for students who wish to enter the job market after completing the master’s degree program. This track is particularly popular among students who already have a background in another discipline but would like to build expertise in statistics to enhance their employment opportunities.
Data Science Track: Students who choose this interdisciplinary track take a balanced mix of courses in Statistics, Computer Science and Mathematics, equipping them with the knowledge and experiences they’ll need to pursue careers related to Big Data.
- 實習機會
開始日期及學費
學費僅供參考。立即與我們的留學顧問聯繫了解最新資訊。
- 課程總長： 4 Semester(s)
- 費用: 無法取得
| In學年take | 位置 |
|---|---|
| Fall (August), 2024 | Richardson |
| Fall (August), 2025 | Richardson |
如何申請
Entry requirements for 德州大學達拉斯分校
IELTS 6.5, TOEFL IBT 80, TOEFL PBT 550
GPA: One of the components of a student's academic history which is evaluated when the student is seeking admission to the graduate program is his/her performance on certain standardized tests. Since these tests are designed to indicate only the student's potential for graduate study, they are used in conjunction with other measures of student proficiency, such as GPA (grade point average), etc., in determining the admission status of a potential graduate student. Accordingly, there is no rigid minimum cutoff score for admission to the program.
Test score required: Yes
Most applicants admitted to either the MS or PhD programs have GRE scores of at least 143 verbal, 155 quantitative, and 310 combined. However, exceptions are made in some cases when other credentials are especially strong. Higher standards prevail for applicants seeking Teaching Assistantships.
Letters of recommendation: 3
English language requirements
托福(TOEFL iBT)總分: 80.0
最後申請期限:
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