關於課程
The curriculum in liberal arts and sciences with a major in statistics is designed to prepare students for (1) statistics positions in business, industry or commerce, nonprofit institutions, and in state or federal government, and (2) graduate study in statistics. Positions include the following types of work: statistical design, data visualization, analysis and interpretation of experiments and surveys, data processing and analysis using modern computation facilities and statistical computing systems, application of statistical principles and methods in commercial areas such as finance, insurance, industrial research, technology, marketing, manufacturing, sports analytics, quality control, and nonprofit organizations, such as institutions involved in health care or medical research.
Students completing the undergraduate degree in statistics should have a broad understanding of the discipline of statistics. Upon graduation, students should be able to:
design observational studies and experiments in order to efficiently collect data to help answer questions about science, technology, and society.
analyze data arising from observational studies and experiments in order to help answer questions about the world around them.
use modern statistical computing to aid in the collection and analysis of data.
explain and apply the mathematical and theoretical basis for probability and statistical inference to help answer questions about the world around them.
effectively communicate statistical findings using oral, visual and written formats.
effectively respond to ethical issues associated with data collection, data analysis, and communication of statistical findings.
Students completing the undergraduate degree in statistics should have a broad understanding of the discipline of statistics. Upon graduation, students should be able to:
design observational studies and experiments in order to efficiently collect data to help answer questions about science, technology, and society.
analyze data arising from observational studies and experiments in order to help answer questions about the world around them.
use modern statistical computing to aid in the collection and analysis of data.
explain and apply the mathematical and theoretical basis for probability and statistical inference to help answer questions about the world around them.
effectively communicate statistical findings using oral, visual and written formats.
effectively respond to ethical issues associated with data collection, data analysis, and communication of statistical findings.
- 獎學金 - 查看所有獎學金
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: 8 Semester(s)
- 費用: 無法取得
In學年take | 位置 |
---|---|
Spring (January), 2024 | Ames |
Summer (May), 2024 | Ames |
Fall (August), 2024 | Ames |
Fall (October), 2024 | Ames |
Spring (January), 2025 | Ames |
Summer (May), 2025 | Ames |
Fall (August), 2025 | Ames |
Fall (October), 2025 | Ames |
Spring (January), 2026 | Ames |
Summer (May), 2026 | Ames |
如何申請
Entry requirements for 愛荷華州立大學
Toefl - Internet-Based TOEFL (IBT) score of 71 with a minimum score of 17 in both the Writing and Speaking sections , Paper-Based TOEFL (PBT) score of 530 , Ielts - Overall band score of 6.0 with no sub score below 5.5
Freshman applicants should upload copies of their official high school academic records.
English language requirements
托福(TOEFL iBT)總分: 71.0
最後申請期限:
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