授课型硕士 · 2026

数据科学硕士

Master of Data Science

硕士 · MC-DATASCMaster

学制

全日制 24 个月／兼读 48 个月24 months full-time or 48 months part-time

授课

校内On Campus (Parkville)

学费

—

英语

performance band 6.

入学要求

均分 65 · In order to be considered for entry, applicants must have completed: Any undergraduate degree, （任意学科）, with a weighted average mark of at least 65%, 或同等学历; and A 12。GPA 65 · In order to be considered for entry, applicants must have completed: Any undergraduate degree, in any discipline, with a weighted average mark of at least 65%, or equivalent; and A 12. Any undergraduate degree, in any discipline, with a weighted average mark of at least 65%, or equivalent; and Achieve an ATAR (or notional ATAR) of 95.00 or above; Enrol immediately in an undergraduate degree at the University of Melbourne or be granted deferral in the year following Year 12; Successfully complete

学年课程

课程结构Course structure

统计建模数据科学Statistical Modelling for Data Science
MAST90139
12.5
Multivariate Statistics for Data Science
MAST90138
12.5
计算统计学与数据科学Computational Statistics & Data Science
MAST90083
12.5
集群与云计算机Cluster and Cloud Computing
COMP90024
12.5
Advanced Database Systems
COMP90050
12.5
统计机器学习Statistical Machine Learning
COMP90051
12.5
数据科学项目物理治疗Data Science Project Pt1
MAST90106
12.5
数据科学项目物理治疗Data Science Project Pt2
MAST90107
12.5
数据科学研究项目物理治疗Data Science Research Project Pt1
MAST90108
12.5
数据科学研究项目物理治疗Data Science Research Project Pt2
MAST90109
12.5

申请节点

—

打开学校官方页预约梳理

所载课名、学制、学费与入学要求摘自学校官网当年公布。中文名为惯例译名，英文以官网为准。缺字段写作「—」，不编数字。是否适合申请、如何排冲稳保，预约梳理后另议。

PRIVATE CONSULTATION

下一步：预约一次梳理

这一条只抄官网已经写明的标准。要不要申、怎么排，预约后单独谈。

预约梳理