墨尔本大学/澳大利亚

授课型硕士 · 2026

计算机科学硕士

Master of Computer Science

硕士 · MC-CSMaster

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

雅思 6.5 · 托福 81 · Applicants must satisfy the University's English language requirements。IELTS 6.5 · TOEFL 81 · Applicants must satisfy the University's English language requirements . Level 1 English scores are required for this course.

入学要求

To be considered for entry into this course, applicants must: Have completed a bachelor degree (AQF7) in a cognate (relevant) discipline with a weighted average mark (WAM) of 75%, 或同等学历。To be considered for entry into this course, applicants must: Have completed a bachelor degree (AQF7) in a cognate (relevant) discipline with a weighted average mark (WAM) of 75%, or equivalent. Have completed a bachelor degree (AQF7) in a cognate (relevant) discipline with a weighted average mark (WAM) of 75%, or equivalent. Have completed below prerequisite subject(s): At least 25 points of university level mathematics or statistics subjects.

学年课程

课程结构Course structure

  • 导论机器学习Introduction to Machine Learning

    COMP90049

    12.5
  • Declarative Programming

    COMP90048

    12.5
  • Distributed Systems

    COMP90015

    12.5
  • AI Planning for Autonomy

    COMP90054

    12.5
  • 评估用户实践Evaluating the User Experience

    INFO90004

    12.5
  • 空间数据管理Spatial Data Management

    GEOM90008

    12.5
  • High Integrity Systems Engineering

    SWEN90010

    12.5
  • 高级算法与数据结构Advanced Algorithms and Data Structures

    COMP90077

    12.5
  • 导论量子计算机Introduction to Quantum Computing

    MULT90063

    12.5
  • 量子软件基础Quantum Software Fundamentals

    COMP90084

    12.5
  • 建模复杂软件系统Modelling Complex Software Systems

    SWEN90004

    12.5
  • 统计机器学习Statistical Machine Learning

    COMP90051

    12.5
  • 自然语言处理Natural Language Processing

    COMP90042

    12.5
  • 计算建模与仿真Computational Modelling and Simulation

    COMP90083

    12.5
  • 计算机视觉Computer Vision

    COMP90086

    12.5
  • 伦理学人工智能The Ethics of Artificial Intelligence

    COMP90087

    12.5
  • 机器学习应用健康Machine Learning Applications for Health

    COMP90089

    12.5
  • 人工智能机器人AI for Robotics

    ELEN90095

    12.5
  • Trustworthy Machine Learning

    COMP90073

    12.5
  • 网络安全Web Security

    COMP90074

    12.5
  • 安全与软件测试Security & Software Testing

    SWEN90006

    12.5
  • 密码学与安全Cryptography and Security

    COMP90043

    12.5
  • 设计新型交互Designing Novel Interactions

    INFO90003

    12.5
  • 社会计算机Social Computing

    INFO90007

    12.5
  • 人类人工智能交互Human-AI Interaction

    INFO90005

    12.5
  • Fieldwork for Design

    INFO90006

    12.5
  • Distributed Algorithms

    COMP90020

    12.5
  • 集群与云计算机Cluster and Cloud Computing

    COMP90024

    12.5
  • Parallel and Multicore Computing

    COMP90025

    12.5
  • 移动计算机系统编程Mobile Computing Systems Programming

    COMP90018

    12.5
  • 编程语言实施Programming Language Implementation

    COMP90045

    12.5
  • 空间数据分析Spatial Data Analytics

    GEOM90006

    12.5
  • 高级成像Advanced Imaging

    GEOM90038

    12.5
  • 信息可视化Information Visualisation

    GEOM90007

    12.5
  • Advanced Database Systems

    COMP90050

    12.5
  • 算法生物信息学Algorithms for Bioinformatics

    COMP90014

    12.5
  • 计算基因组学Computational Genomics

    COMP90016

    12.5
  • Large Data Methods & Applications

    ELEN90094

    12.5
  • Cryptocurrencies & decentralised ledgers

    COMP90088

    12.5
  • 计算机科学研究项目部分Computer Science Research Project Part 1

    COMP90078

    25
  • 计算机科学研究项目部分Computer Science Research Project Part 2

    COMP90079

    25
  • 计算机科学研究项目部分Computer Science Research Project Part 3

    COMP90080

    25
  • 计算机科学研究项目部分Computer Science Research Project Part 4

    COMP90081

    25

申请节点

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