墨尔本大学数据科学专业是一个比较综合性的科目,通过它,学生可以挖掘自身的技术、分析技巧,同时还能很好地应用统计工具、方法,从而分析、评估、解决现实世界的数据难题。
墨尔本大学数据科学专业申请条件
学术要求:
均分要求:C9-72%,985-76%,211-80%,双非-84%;
背景专业要求:本科计算机科学、数据科学、统计学相关专业,学过1门计算机科学(编程)、2门数学和统计(包括微积分)
语言要求:
雅思:总分6.5,单项6
托福:总分79,写作21,口语18,听力阅读13
墨尔本大学数据科学专业课程设置
YEAR 1 - SEMESTER 1 第一学年-第一学期
Prerequisite Subjects - Computer Science Points
Programming and Software DevelopmentCORE 12.5
Algorithms and ComplexityCORE 12.5
Core Subjects - Statistics Points
Mathematical StatisticsCORE 12.5
Statistical ModellingCORE 12.5
YEAR 1 - SEMESTER 2 第一学年-第二学期
Prerequisite Subjects - Computer Science Points
Knowledge TechnologiesCORE 12.5
Database Systems & Information ModellingCORE 12.5
Core Subjects - Statistics Points
Computational Statistics and Data MiningCORE 12.5
Multivariate Statistical TechniquesCORE 12.5
YEAR 2 - SEMESTER 1 第二学年-第一学期
Core Subjects - Computer Science Points
Advanced Database SystemsCORE 12.5
Web Search and Text AnalysisCORE 12.5
Core Subjects - Computer Science Points
Cluster and Cloud ComputingCORE 12.5
Capstone Subjects Points
Data Science Project Part 1CAPSTONE 12.5
SEMESTER 2 - SEMESTER 2 第二学年-第二学期
Core Subjects - Computer Science Points
Statistical Machine LearningCORE 12.5
Elective Subjects Points
Analysis of High Dimensional DataELECTIVE 12.5
Advanced Statistical ModellingELECTIVE
Capstone Subjects Points
Data Science Project Part 2CAPSTONE 12.5