Berkeley的全稱是University of California, Berkeley的Information and Data Science,即加州大學(xué)伯克利分校信息與數(shù)據(jù)科學(xué),下面將詳細(xì)介紹Berkeley的的項(xiàng)目特點(diǎn)/院系介紹、Berkeley的的研究生申請(qǐng)要求。
加州大學(xué)伯克利分校
The Master of Information and Data Science (MIDS) is designed to educate data science leaders. This professional degree program prepares students to derive insights from real-world data sets, using the latest tools and analytical methods, and to interpret and communicate their findings in ways that change minds and change behaviors. The program features a multi-disciplinary curriculum that draws on insights from the social sciences, computer science, statistics, management, and law.
1、Research Design and Application for Data and Analysis
2、Exploring and Analyzing Data
3、Storing and Retrieving Data
4、Applied Machine Learning
5、Data Visualization and Communication
6、Experiments and Causal Inference
7、Legal, Policy, and Ethical Considerations for Data Scientists
8、Scaling Up! Really Big Data
9、Applied Regression and Time Series Analysis
10、Machine Learning at Scale
11、Synthetic Capstone Course
1、數(shù)據(jù)和分析研究設(shè)計(jì)與應(yīng)用
2、探索與分析數(shù)據(jù)
3、存儲(chǔ)與檢索數(shù)據(jù)
4、應(yīng)用機(jī)器學(xué)習(xí)
5、數(shù)據(jù)可視化與通信
6、實(shí)驗(yàn)與因果推理
7、法律、 政策與數(shù)據(jù)科學(xué)家的倫理思考
8、加大!真正的大數(shù)據(jù)
9、應(yīng)用的回歸與時(shí)間序列分析
10、機(jī)器學(xué)習(xí)
11、綜合基礎(chǔ)課程
掌握一門編程語言,托福90或雅思7.0以上,GRE或GMAT(數(shù)學(xué)不低于總分的85%),GPA3.0以上,學(xué)費(fèi) $60,000/年,申請(qǐng)截止日期7月7日
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