澳洲这2所大学的数据科学硕士专业为你揭秘数据的奥秘

近年来，越来越多的中国学子选择留学，那其中澳洲这2所大学的数据科学硕士专业 为你揭秘数据的奥秘!？本文则针对这个问题，为大家整理了资料，接下来咱们就一起往下了解吧。

#1 The University of Queensland 昆士兰大学

专业：Master of Data Science

学制：1.5-2年

课程介绍：昆士兰大学数据科学硕士课程是世界上少数的几个能让跨学科学者和行业直接接触，且将大量刺激、不断扩大的数据科学领域与实践经验相结合的课程。学生将会进行前沿课题研究，横跨计算机到统计学、数学到商业、金融到医疗、甚至更多领域，使用相关的大数据工具和技术来探寻数据使用伦理的重要知识、法律考虑、通讯等更多方面。

课程结构：

Part A(16 units)

DATA7001 2 Introduction to Data Science

DATA7002 2 Data Privacy: Ethics, Law and Technical Considerations

DATA7201 2 Advanced Data Analytics

DATA7202 2 Statistical Methods for Data Science

DATA7901 2 Data Science Capstone Project 1

DATA7703 2 Machine Learning

DATA7902 4 Data Science Capstone Project 2

Part B1(不超过10 units)

MATH7501 2 Mathematics for Data Science 1

MATH7502 2 Mathematics for Data Science 2

STAT7203 2 Applied ProbabilityStatistics

INFS7907 2 Advanced Database Systems

INFS7901 2 Database Principles

CSSE7030 2 Introduction to Software Engineering

Part B2(至少4 units)

INFS7205 2 Advanced Techniques for High Dimensional Data

INFS7410 2 Information Retrieval and Web Search

DATA7203 2 Computational Models for Data Science

INFS7203 2 Data Mining

MATH7232 2 Operations ResearchMathematical Planning

STAT7502 2 Advanced Statistics I

MATH7202 2 Advanced Topics in Operations Research

MATH7406 2 Control Theory

Part C

ACCT7101 2 Accounting

BINF6000 2 Concepts in Bioinformatics

BINF6001 2 Introduction to Proteins and Nucleic Acids

BINF7000 2 Advanced Bioinformatics

BINF7001 2 Advanced Genome Informatics

COMP7500 2 Advanced AlgorithmsData Structures

COMP7505 2 AlgorithmsData Structures

COMP7702 2 Artificial Intelligence

COSC7500 2 Numerical Methods in Computational Science

COSC7502 2 High-Performance Computing

COSC7504 2 Introduction to Computational Biology

CSSE7023 2 Advanced Software Engineering

DECO7110 2 Design Thinking

ECON7310 2 Elements of Econometrics

ECON7350 2 Applied Econometrics for Macroeconomics and Finance

ECON7390 2 Financial Econometrics

FINM7401 2 Finance

FINM7403 2 Portfolio Management

MATH7039 2 Financial Mathematics

MATH7049 2 Computation in Financial Mathematics

MATH7091 2 Financial Calculus

MKTG7501 2 Fundamentals of Marketing

MKTG7503 2 ConsumerBuyer Behaviour

MKTG7510 2 MarketConsumer Research

PUBH7600 2 Introduction to Epidemiology

STAT7301 2 Mathematical Statistics

STAT7303 2 Experimental Design

STAT7304 2 Probability ModelsStochastic Processes I

STAT7306 2 Statistical Analysis of Genetic Data

STAT7503 2 Advanced Statistics II

STAT7504 2 Advanced ProbabilityStochastic Processes I

STAT7505 2 Advanced ProbabilityStochastic Processes II

STAT7610 2 LongitudinalCorrelated Data

申请要求：

背景要求：信息技术、计算机科学、统计学、数学、工程、物理、精算等相关本科学位

学术要求：211/985院校要求75%，非211/985大学院校要求80%

雅思要求：IELTS 6.5，单项不低于6

#2 Monash University莫纳什大学

专业：Master of Data Science

学制：1年、1.5年、2年

课程介绍：莫纳什大学数据科学硕士项目具备卓越的师资力量，院系课程紧跟最新行业动态，拥有成熟的理论成果和平台，包括两大最著名的开放的数据分析编程语言Python和R，以及应用于分布式处理的Hadoop和Spark。莫纳什大学数据科学硕士项目提供编程、数据库、数据与统计领域的基础课程，适合已取得科学、工程、艺术或计算等专业学位的学生。有数据科学学习基础或相关工作经验的学生可以选择免修相关课程或者选择学习更多数据科学专业的选修课。

课程结构：

Part A. 高级数据科学研究基础课程 (24 points)

a. 18 points

FIT9132 Introduction to databases

FIT9133 Programming foundations in Python

MAT9004 Mathematical foundations for data science

b. 6 points

FIT9123 Introduction to business information systems

FIT9134 Computer architecture and operating systems

Part B. 硕士课程核心学习 (48 points)

a. 18 points

FIT5145 Introduction to data science

FIT5196 Data wrangling

FIT5197 Modelling for data analysis

数据科学方向

b. 24 points

FIT5097 Business intelligence modelling

FIT5146 Data curation and management

FIT5147 Data exploration and visualisation

FIT5148 Distributed databases and big data

FIT5149 Applied data analysis

FIT5202 Data processing for big data

FIT5205 Data in society

FIT5206 Digital continuity

c. 6 points

从上述b表中选修1门，或下面的数据科学选修课程清单中选修1门，或其他认可的选修课程1门

高级数据分析方向

b. 24 points

FIT5147 Data exploration and visualisation

FIT5148 Distributed databases and big data or FIT5202 Data processing for big data

FIT5149 Applied data analysis

FIT5201 Data analysis algorithms

c. 6 points

从下面的数据科学选修课程清单中选修1门，或其他认可的选修课程1门

数据科学选修课程清单：

FIT5046 Mobile and distributed computing systems

FIT5047 Intelligent systems

FIT5057 Project management

FIT5088 Information and knowledge management systems

FIT5097 Business intelligence modelling

FIT5106 Information organisation

FIT5107 Managing business records

FIT5108 Reading unit (approval required)

FIT5109 Research topic (approval required)

FIT5139 Advanced distributed and parallel systems

FIT5142 Advanced data mining

FIT5146 Data curation and management

FIT5166 Information retrieval systems

FIT5195 Business intelligence and data warehousing

FIT5201 Data analysis algorithms

FIT5202 Data processing for big data

FIT5204 Heritage informatics

FIT5205 Data in society

FIT5206 Digital continuity

FIT5207 Data for sustainability

FIT5211 Algorithms and data structures

FIT5212 Data analysis for semi-structured data

Part C. 高级实践 (24 points)

完成a或者b

a. 辅修论文研究

FIT5125 IT research methods

FIT5126 Masters thesis part 1

FIT5127 Masters thesis part 2

FIT5128 Masters thesis final

b. 工业实践:

FIT5120 Industry experience studio project (12 points)

FIT5122 Professional practice

申请要求：

背景要求：信息技术相关本科专业可申请1.5年课程，GPA 75%以上。

入学要求：IELTS 6.5，单项不低于6.0

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