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!
近些年，随着互联网的不断普及，产生了大量的数据，从而企业急需一批能对数据进行挖掘、分析并作出决策的技术型人才，因此，澳洲数据科学专业成为了当下最炙手可热的学科，下面，小编就为大家重点介绍澳洲2所大学的数据科学硕士专业，希望对大家有所帮助：
#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 Probability & Statistics
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 Research & Mathematical 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 Algorithms & Data Structures
COMP7505 2 Algorithms & Data 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 Consumer & Buyer Behaviour
MKTG7510 2 Market & Consumer Research
PUBH7600 2 Introduction to Epidemiology
STAT7301 2 Mathematical Statistics
STAT7303 2 Experimental Design
STAT7304 2 Probability Models & Stochastic Processes I
STAT7306 2 Statistical Analysis of Genetic Data
STAT7503 2 Advanced Statistics II
STAT7504 2 Advanced Probability & Stochastic Processes I
STAT7505 2 Advanced Probability & Stochastic Processes II
STAT7610 2 Longitudinal & Correlated 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
综上所述，以上讲的就是关于澳洲大学数据科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!
