授课型硕士 · 2026

分析商业硕士

Master of Business Analytics

硕士 · B6022Master

学制

2 年／4 年／6 年2 Years; 4 Years; 6 Years

授课

校内On campus — 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 full time, 4 years part time An Australian bachelor degree (或同等学历) with at least a high credit (65%) average, or an equivalent 均分。Entry level 1: 96 points to complete Duration: 2 years full time, 4 years part time An Australian bachelor degree (or equivalent) with at least a high credit (65%) average, or an equivalent GPA. Entry level 2: 72 points to complete Duration: 1.5 years full time, 3 years part time An Australian bachelor degree (or equivalent) in a cognate discipline with at least a high credit (65%) average, or an equivalent GPA. Applicants must have successfully completed a first year undergraduate statistics un

学年课程

官网写明为示例课程，以当年公布为准

选修Part C. Elective studies

Data analysis for semi-structured data
FIT5212
6
数学基础数据科学与人工智能Mathematical foundations for data science and AI
MAT9004
6
Bayesian inference and data analysis
ETC5410
6
优化商业Optimisation for business
ETF5248
6
负责任数字化Responsible digitalisation
FIT5237
6
导论数据库Introduction to databases
FIT9132
6
决策建模商业Decision modelling for business
ETF5480
6
Introduction to Python programming
FIT9136
6
数据勘探与可视化Data exploration and visualisation
FIT5147
6

部分高级预备学Part A. Advanced preparatory studies

导论数据分析Introduction to data analysis
ETC5510
6
导论机器学习Introduction to machine learning
ETC5250
6
Applied forecasting
ETC5550
6
统计思维Statistical thinking
ETC5242
6

部分B.核心学Part B. Core studies

Collaborative and reproducible practices
ETC5513
6
Communicating with data
ETC5523
6
Wild-caught data
ETC5512
6
Diving deeply into data exploration
ETC5521
6
商业分析创意活动Business analytics creative activity
ETC5543
12

Specified discipline electives

High dimensional data analysis
ETX5500
6
高级统计建模Advanced statistical modelling
ETC5580
6
统计机器学习Statistical machine learning
ETC5555
6
高级R编程Advanced R programming
ETC5450
6

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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