墨尔本大学/澳大利亚

授课型硕士 · 2026

计算机科学研究生文凭

Graduate Diploma in Computer Science

研究生文凭 · GD-CSGraduate Diploma

学制

全日制 12 个月/兼读 24 个月12 months full-time or 24 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) (任意学科) with a weighted average mark (WAM) of 65%, 或同等学历。To be considered for entry into this course, applicants must: Have completed a bachelor degree (AQF7) in any discipline with a weighted average mark (WAM) of 65%, or equivalent. Have completed a bachelor degree (AQF7) in any discipline with a weighted average mark (WAM) of 65%, or equivalent. Have completed below prerequisite subject(s): at least 25 points of level 1 or above computer science subjects, or equivalent, and

学年课程

课程结构Course structure

  • 互联网技术Internet Technologies

    COMP90007

    12.5
  • Algorithms and Complexity

    COMP90038

    12.5
  • 编程与软件发展Programming and Software Development

    COMP90041

    12.5
  • Database Systems

    INFO20003

    12.5
  • Elements of Data Processing

    COMP20008

    12.5
  • 人工智能Artificial Intelligence

    COMP30024

    12.5
  • Declarative Programming

    COMP90048

    12.5
  • 图形与交互Graphics and Interaction

    COMP30019

    12.5
  • 信息技术项目IT Project

    COMP30022

    12.5
  • 模型计算Models of Computation

    COMP30026

    12.5
  • Declarative Programming

    COMP30020

    12.5
  • 软件建模与设计Software Modelling and Design

    SWEN30006

    12.5
  • Distributed Systems

    COMP90015

    12.5
  • 导论机器学习Introduction to Machine Learning

    COMP90049

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

    COMP90087

    12.5
  • 研究项目Research Project

    COMP90055

    25
  • 研究方法Research Methods

    COMP90044

    12.5
  • AI Planning for Autonomy

    COMP90054

    12.5
  • 评估用户实践Evaluating the User Experience

    INFO90004

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

    COMP90077

    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
  • 计算机视觉Computer Vision

    COMP90086

    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
  • 集群与云计算机Cluster and Cloud Computing

    COMP90024

    12.5
  • Advanced Database Systems

    COMP90050

    12.5

申请节点

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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。

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