Master of Science in Data Analytics
關於課程
Program Learning Outcomes- Exhibit understanding of the key technologies in data storage, data management, data warehousing and analysis. Demonstrate theoretical and practical knowledge of foundational statistical methods to collect data, analyze and draw inferences from data and interpret the results. Use data analytics methods and tools to preprocess and clean data sets, discover patterns, extract knowledge from raw data sets, represent, interpret, and evaluate data and predict future behavior, patterns, and trends. Manage, store, and analyze big data sets that cannot be handled using traditional database systems. Exhibit the ability to apply various elements of statistics and computer science to solve real-world problems and use appropriate visual, verbal, and written media to effectively present and communicate findings
- 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 | Springfield |
Spring (January), 2025 | Springfield |
Fall (August), 2025 | Springfield |
Spring (January), 2026 | Springfield |
如何申請
Entry requirements for 伊利諾伊大學春田分校
Students must have completed a bachelor's degree who are applying for a master's or doctoral degree. Students must complete an application to the university and have official transcripts from all colleges and universities attended submitted to the Office of Admission. Full admission to graduate studies may be granted to students who have earned a baccalaureate degree with a minimum undergraduate grade-point average of 2.50 on a 4.00 scale from any institution of higher education regionally accredited by the North Central Association or any of the seven regional accrediting organizations
English proficiency requirement
IELTS Academic - 6.0
TOEFL iBT - 79
Duolingo English Test - 105
English language requirements
托福(TOEFL iBT)總分: 79.0
最後申請期限:
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