項目簡介
課程設置
在線咨詢
數據科學與人工智能
Master Data Science and Artificial Intelligence
理科
數據科學
項目簡介
課程設置
在線咨詢
項目簡介
專業方向
數據科學
入學時間
9月
項目時長
2年
項目學費
8100歐元/年
DS&AI碩士課程面向有興趣學習并將先進數據分析技術與人工智能方法和技術相結合的學生,以便理解、使用和開發智能系統,以支持和增強人類的智能。該碩士項目是荷蘭第一個也是唯一一個將數據科學和人工智能領域的先進技術和方法相結合的工程項目。
申請要求
"1.需要Nuffic certificate,財產證明17000歐元 2.A Bachelor’s degree awarded up to, not including, the year 2021 from a university on the Project 211 list or a Bachelor's degree from a university on the ""Double First Class University Plan” in category A or B. If your university falls in category C (and is not part of Project 211), you are only eligible for admission if your discipline is mentioned on this list. A Cumulative Grade Point Average (CGPA) of at least 75% of the scale maximum. A Bachelor’s degree awarded up to, not including, the year 2021 from a university on the Project 211 list or a Bachelor's degree from a university on the ""Double First Class University Plan” in category A or B. If your university falls in category C (and is not part of Project 211), you are only eligible for admission if your discipline is mentioned on this list. A Cumulative Grade Point Average (CGPA) of at least 75% of the scale maximum. 3.A concise description of subjects from your previous degree(s). N.B. this is not your academic transcript, but a description of the subjects in your degree program. This is usually the subjects of your Bachelor's degree, but if you are taking or have completed a further degree course, please also provide a description of these subjects, if relevant to your application. 4.a summary of your dissertation (in English) "
語言要求
類型
總分要求
小分要求
雅思和托福語言考試分為閱讀、聽力、口語、寫作4個部分,除總分以外,每個部分會有單獨的小分。部分專業除對雅思和托福有總分要求外,會有單獨的小分要求。其中L代表聽力,R代表閱讀,W代表寫作,S代表口語。
雅思
6.5
L:6 | R:6 | W:6 | S:6
托福
90
L:21 | R:21 | W:21 | S:21
申請時間
2021Fall
-
開放時間
2021-04-15
Round1
2021Fall Round1

開始時間:-

結束時間:2021-04-15

申請已結束

課程設置
序號
課程介紹
Curriculum
1
數據工程與管理
Data Engineering and Management
2
算法數據分析
Algorithmic Data Analysis
3
可解釋數據分析
Explainable Data Analytics
4
統計
Statistics
5
數據挖掘與機器學習
Data Mining and Machine Learning
6
人工智能與機器學習
AI and Machine Learning
7
數據科學與人工智能中的倫理學
Ethics in Data Science and Artificial Intelligence
8
數據智能挑戰
Data Intelligence Challenge
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