蒙纳士大学/澳大利亚

授课型硕士 · 2026

应用数据科学硕士

Master of Applied Data Science

硕士 · C6011Master

学制

2 年/5 年2 Years; 5 Years

授课

线上Online — Monash Online

学费

—

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 test.IELTS 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 - 72 points to complete Duration: 2 years 兼读。Entry level 1 - 72 points to complete Duration: 2 years part-time. An Australian bachelor degree (or equivalent) in a relevant discipline, with at least a credit (60%) average. Entry level 2 - 48 points to complete Duration: 1.4 years part-time. A Monash University Graduate Certificate of Applied Data Science with at least a credit (60%) average. OR An Australian bachelor degree (or equivalent) in a relevant discipline* and a Graduate Certificate or Graduate Diploma in a relevant discipline*, wi

学年课程

官网写明为示例课程,以当年公布为准

部分B.核心学Part B. Core studies

  • 统计数据建模Statistical data modelling

    ITO5197

    6
  • Data wrangling

    ITO5196

    6
  • 导论数据科学Introduction to data science

    ITO5145

    6

部分D.应用学Part D. Applied studies

  • 应用实践Applied practice 1

    ITO5001

    6
  • 应用实践Applied practice 2

    ITO5002

    6

部分基础学Part A. Foundation studies

  • Introduction to Python

    ITO4133

    6
  • 数学基础数据科学与人工智能Mathematical foundations for data science and AI

    MAT9004

    6
  • 导论数据库Introduction to databases

    ITO4132

    6

部分C.专门学Part C. Specialist studies

  • 应用数据分析Applied data analysis

    ITO5149

    6
  • 数据处理大数据Data processing for big data

    ITO5202

    6
  • Data analysis for semi-structured data

    ITO5212

    6
  • 数据勘探与可视化Data exploration and visualisation

    ITO5147

    6
  • 机器学习Machine learning

    ITO5201

    6

申请节点

—

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