授课型硕士 · 2026

人工智能硕士

Master of Artificial Intelligence

硕士 · C6007Master

学制

2 年／4 年／6 年2 Years; 4 Years; 6 Years

授课

校内On campus — Malaysia, Clayton

学费

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英语

雅思 6.5 · 托福 79 · Monash Level A, that is: 雅思 (Academic): 6.5 总分 (no band lower than 6.0); or Pearson Test of English (Academic): score of 58 总分 with no band lower than 50; or 托福 Internet-based test: score of 79 总分 with minimum scores: Writing: 21, Listening: 12, Reading: 13 and Speaking: 18; or Equivalent approved English testIELTS 6.5 · TOEFL 79 · Monash Level A, that is: IELTS (Academic): 6.5 overall (no band lower than 6.0); or Pearson Test of English (Academic): score of 58 overall with no band lower than 50; or TOEFL Internet-based test: score of 79 overall with minimum scores: Writing: 21, Listening: 12, Reading: 13 and Speaking: 18; or Equivalent approved English test

入学要求

Entry level 1: 96 points to complete Duration: 2 years 全日制, 4 years 兼读 An Australian bachelor degree (或同等学历), not necessarily in IT, with at least a credit (60%) average。Entry level 1: 96 points to complete Duration: 2 years full-time, 4 years part-time An Australian bachelor degree (or equivalent), not necessarily in IT, with at least a credit (60%) average. Entry level 2 : 72 points to complete Duration: 1.5 year full-time, 3 years part-time An Australian bachelor degree (or equivalent) in a cognate discipline relating to IT, or an engineering or science degree with a substantial IT component including python programming, algorithms, databases, computer archit

学年课程

官网写明为示例课程，以当年公布为准

部分基础学Part A. Foundation studies

导论数据库Introduction to databases
FIT9132
6
Introduction to Python programming
FIT9136
6
导论计算机建筑与网络Introduction to computer architecture and networks
FIT9137
6
数学基础数据科学与人工智能Mathematical foundations for data science and AI
MAT9004
6

部分B.核心学Part B. Core studies

基础人工智能Fundamentals of artificial intelligence
FIT5047
6
项目管理Project management
FIT5057
6
信息技术研究与创新方法IT research and innovation methods
FIT5125
6
机器学习Machine learning
FIT5201
6
深学习Deep learning
FIT5215
6
规划与自动化推理Planning and automated reasoning
FIT5222
6
Multi agent systems and collective behaviour
FIT5226
6

选修Specified elective studies

建模离散优化问题Modelling discrete optimisation problems
FIT5216
6
自然语言处理Natural language processing
FIT5217
6
Intelligent image and video analysis
FIT5221
6
Malicious AI
FIT5230
6

产业实践路径Industry experience pathway

产业实践工作室项目Industry experience studio project
FIT5120
12
专业实践Professional practice
FIT5122
6

研究路径Research pathway

硕士论文部分Masters thesis part 1
FIT5126
6
硕士论文部分Masters thesis part 2
FIT5127
6
Masters thesis final
FIT5128
6
专业实践Professional practice
FIT5122
6

申请节点

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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