皇家墨尔本理工大学RMIT分析学硕士专业 教你利用数据做出明智的商业决定!
随着互联网热潮的来袭，各行各业都产生了大量的数据，如何利用客观数据辅助公司做决策则成为了各个企业发展的核心力量，从而对分析类人才的需求量持续上涨，可国内鲜少有大学培养此类人才，而澳洲很多大学都相继开设了分析学专业，其中最出色的就是皇家墨尔本理工大学RMIT，下面，小编就带大家深入了解皇家墨尔本理工大学RMIT分析学硕士专业，希望对大家有所帮助：
Master of Analytics
分析学硕士是分析数据以做出更好决策的科学和艺术。它建立在统计和运筹学的传统之上，汇集了来自计算机科学、工程和商业的工具和专业知识。
这种学科的融合使得分析学在解决现实世界的关键问题方面具有独特的能力。你将学习如何使用数据做出明智的决定，为组织的成功做出重大贡献，这提供了一个有回报和有价值的职业道路。
课程设置：
第一年
Applied Analytics
Database Concepts
Data Wrangling
从以下课程中选择并完成24个学分
Essential Mathematics
Data Visualisation and Communication
Machine Learning
Time Series Analysis
从以下课程中选择并完成最多24个学分
Optimisation for Decision Making
Applied Bayesian Statistics
Analysis of Categorical Data
Design and Analysis of Experiments
Forecasting
Multivariate Analysis Techniques
Regression Analysis
Statistical Inference
Statistics of Quality Control and Performance Analysis
Stochastic Processes and Applications
Game Theory and its Applications
Advanced Optimisation with Python
Questionnaire and Research Design
Systems Simulation
System Dynamics
Sports Analytics
Introduction to Statistical Computing
第二年
Applied Research Project
选择并完成以下两项先前未完成的课程:
Data Visualisation and Communication
Machine Learning
Time Series Analysis
Essential Mathematics
从以下课程中选择并完成(36)学分:
Optimisation for Decision Making
Applied Bayesian Statistics
Analysis of Categorical Data
Design and Analysis of Experiments
Forecasting
Multivariate Analysis Techniques
Regression Analysis
Statistical Inference
Statistics of Quality Control and Performance Analysis
Stochastic Processes and Applications
Game Theory and its Applications
Advanced Optimisation with Python
Minor Thesis
Questionnaire and Research Design
Systems Simulation
System Dynamics
Sports Analytics
Introduction to Statistical Computing
从下面的科学选项课程列表中选择并完成两门课程。
Accounting for Management Decisions
Corporate Finance
Fixed Income Securities and Credit Analysis
Financial Decision Making
Options, Futures and Risk Management
Scripting Language Programming
Artificial Intelligence
Intelligent Web Systems
Programming Techniques
Algorithms and Analysis
Advanced Programming
Data Mining
Advanced Programming Techniques
Database Systems
Programming Fundamentals
Big Data Management
Big Data Processing
Cloud Computing
Case Studies in Data Science
Practical Data Science with Python
Social Media and Networks Analytics
Deep Learning
Quantitative Methods in Finance
Economic Analysis for Business
Financial Econometrics
Econometric Techniques
GIS Fundamentals
GIS Principles
Advanced GIS
GIS Analytics
Digital Risk Management and Information Security
Business Intelligence
Introduction to Information Security
Case Studies in Cyber Security
Information Theory for Secure Communications
e Procurement and Supply Chain Technologies
e Business Models and Issues
Information Systems Risk Management
Decision Support Systems
Knowledge and Data Warehousing
Web Search Engines and Information Retrieval
Globalization and Business IT
Business Systems Analysis and Design
Enterprise Systems
Risk Management and Feasibility
Engineering Economic Strategy
Planning and Control
Sustainable Engineering Systems and Environment
Measurement and Improvement
Project Management
Optimisation for Decision Making
Applied Bayesian Statistics
Analysis of Categorical Data
Design and Analysis of Experiments
Forecasting
Multivariate Analysis Techniques
Regression Analysis
Statistical Inference
Statistics of Quality Control and Performance Analysis
Stochastic Processes and Applications
Game Theory and its Applications
Advanced Optimisation with Python
Questionnaire and Research Design
Systems Simulation
System Dynamics
Sports Analytics
Introduction to Statistical Computing
Marketing Management
Consumer Behaviour
Interactive Marketing
Services Marketing
Business and Network Marketing
Supply Chain Principles
Supply Chain Modelling & Design
Supply Chain Sustainability
Strategic Operations and Supply Chain Management
e Business Supply Chains
Distribution and Freight Logistics
申请条件：
本科学历(或同等海外学历)。
如果你在分析、统计、运筹学、经济学、金融、物流、市场营销、供应链管理、工程(管理)、信息技术、信息安全、计算机科学或相关学科方面有至少10年的工作经验，你也可以被考虑。
至少10年相关工作经验
语言要求：
雅思(学术类):总分不低于6.5分(单项不低于6.0分)
托福(网考- IBT):最低总分79分(阅读13分，听力12分，口语18分，写作21分)
PTE (A):最低58分
学费：AU$36,480
职业前景：
毕业生受雇于各种科学、商业和政府企业，最常见的是数据科学家、统计学家、商业分析师、顾问、建模师和研究人员。
随着来自智能手机、智能手表和物联网等来源的数据的可获得性越来越高，总会有分析机会获得见解。
近年来，市场营销方面的就业人数呈指数级增长，紧随其后的是金融、咨询和商业情报。
《就业展望》预计，到2024年，ICT业务和系统分析师的工作机会将增长12.9%，精算师、数学家和统计学家的工作机会将增长9.7%。《就业展望》还估计，2023年，澳大利亚数据科学家和统计学家最常见的年薪在12万至14万美元之间。
综上所述，以上讲的就是关于皇家墨尔本理工大学RMIT分析学硕士专业的相关问题介绍，希望能给各位赴澳留学的学子们指点迷津。近年来，赴澳留学一直是广大学生最热门的话题，同时，很多学生对于签证的办理、院校的选择、就业的前景、学习的费用等诸多问题困扰不断，别担心，IDP留学专家可以为你排忧解难，同时，更多关于赴澳留学的相关资讯在等着你，绝对让你“浏览”忘返。在此，衷心祝愿各位学子们能够顺利奔赴自己心目中理想的学校并且学业有成!
