澳洲這2所大學(xué)的數(shù)據(jù)科學(xué)碩士專業(yè)為你揭秘?cái)?shù)據(jù)的奧秘
2024-08-08 09:32:38 來源：中國(guó)教育在線
近年來，越來越多的中國(guó)學(xué)子選擇留學(xué)，那其中澳洲這2所大學(xué)的數(shù)據(jù)科學(xué)碩士專業(yè) 為你揭秘?cái)?shù)據(jù)的奧秘!？本文則針對(duì)這個(gè)問題，為大家整理了資料，接下來咱們就一起往下了解吧。
#1 The University of Queensland 昆士蘭大學(xué)
專業(yè)：Master of Data Science
學(xué)制：1.5-2年
課程介紹：昆士蘭大學(xué)數(shù)據(jù)科學(xué)碩士課程是世界上少數(shù)的幾個(gè)能讓跨學(xué)科學(xué)者和行業(yè)直接接觸，且將大量刺激、不斷擴(kuò)大的數(shù)據(jù)科學(xué)領(lǐng)域與實(shí)踐經(jīng)驗(yàn)相結(jié)合的課程。學(xué)生將會(huì)進(jìn)行前沿課題研究，橫跨計(jì)算機(jī)到統(tǒng)計(jì)學(xué)、數(shù)學(xué)到商業(yè)、金融到醫(yī)療、甚至更多領(lǐng)域，使用相關(guān)的大數(shù)據(jù)工具和技術(shù)來探尋數(shù)據(jù)使用倫理的重要知識(shí)、法律考慮、通訊等更多方面。
課程結(jié)構(gòu)：
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(不超過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
申請(qǐng)要求：
背景要求：信息技術(shù)、計(jì)算機(jī)科學(xué)、統(tǒng)計(jì)學(xué)、數(shù)學(xué)、工程、物理、精算等相關(guān)本科學(xué)位
學(xué)術(shù)要求：211/985院校要求75%，非211/985大學(xué)院校要求80%
雅思要求：IELTS 6.5，單項(xiàng)不低于6
#2 Monash University莫納什大學(xué)
專業(yè)：Master of Data Science
學(xué)制：1年、1.5年、2年
課程介紹：莫納什大學(xué)數(shù)據(jù)科學(xué)碩士項(xiàng)目具備卓越的師資力量，院系課程緊跟最新行業(yè)動(dòng)態(tài)，擁有成熟的理論成果和平臺(tái)，包括兩大最著名的開放的數(shù)據(jù)分析編程語言Python和R，以及應(yīng)用于分布式處理的Hadoop和Spark。莫納什大學(xué)數(shù)據(jù)科學(xué)碩士項(xiàng)目提供編程、數(shù)據(jù)庫(kù)、數(shù)據(jù)與統(tǒng)計(jì)領(lǐng)域的基礎(chǔ)課程，適合已取得科學(xué)、工程、藝術(shù)或計(jì)算等專業(yè)學(xué)位的學(xué)生。有數(shù)據(jù)科學(xué)學(xué)習(xí)基礎(chǔ)或相關(guān)工作經(jīng)驗(yàn)的學(xué)生可以選擇免修相關(guān)課程或者選擇學(xué)習(xí)更多數(shù)據(jù)科學(xué)專業(yè)的選修課。
課程結(jié)構(gòu)：
Part A. 高級(jí)數(shù)據(jù)科學(xué)研究基礎(chǔ)課程 (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. 碩士課程核心學(xué)習(xí) (48 points)
a. 18 points
FIT5145 Introduction to data science
FIT5196 Data wrangling
FIT5197 Modelling for data analysis
數(shù)據(jù)科學(xué)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
從上述b表中選修1門，或下面的數(shù)據(jù)科學(xué)選修課程清單中選修1門，或其他認(rèn)可的選修課程1門
高級(jí)數(shù)據(jù)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
從下面的數(shù)據(jù)科學(xué)選修課程清單中選修1門，或其他認(rèn)可的選修課程1門
數(shù)據(jù)科學(xué)選修課程清單：
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. 高級(jí)實(shí)踐 (24 points)
完成a或者b
a. 輔修論文研究
FIT5125 IT research methods
FIT5126 Masters thesis part 1
FIT5127 Masters thesis part 2
FIT5128 Masters thesis final
b. 工業(yè)實(shí)踐:
FIT5120 Industry experience studio project (12 points)
FIT5122 Professional practice
申請(qǐng)要求：
背景要求：信息技術(shù)相關(guān)本科專業(yè)可申請(qǐng)1.5年課程，GPA 75%以上。
入學(xué)要求：IELTS 6.5，單項(xiàng)不低于6.0
那么以上就是關(guān)于澳洲這2所大學(xué)的數(shù)據(jù)科學(xué)碩士專業(yè) 為你揭秘?cái)?shù)據(jù)的奧秘!的相關(guān)內(nèi)容啦，以上內(nèi)容作為參考分享給大家，希望能幫助到有需要的同學(xué)，如果還有更多想要了解的內(nèi)容可以關(guān)注本平臺(tái)繼續(xù)瀏覽。
>>免費(fèi)領(lǐng)全球留學(xué)白皮書，了解各大學(xué)報(bào)考條件、費(fèi)用、開學(xué)時(shí)間、含金量<<
HOT
1
