澳洲昆士兰大学数据科学硕士课程设置 内容丰富选择灵活
2023年入读昆士兰大学数据科学硕士课程（Master of Data Science）的学生，需要通过2年共4个学期的学习，修满32个学分方可获得硕士学位，这些课程中既有必修课，又有选修课，选择十分丰富，学习内容涵盖数据科学概论、数据隐私、高级数据分析、高级数据库系统、数据挖掘、金融计量经济学等多个方面。下面就为大家介绍一下昆大数据科学硕士课程设置的情况。
学生要顺利完成昆士兰大学数据科学硕士课程，下表Part A中的全部必修课程需修满14学分，Part B1中的课程至少修满6学分，Part B2中的课程至少修满6学分，剩余学分需通过修读Part C中的选修课或者执行院校批准的其他课程来完成。
Part A 必修课 - 14 学分（含以下所有课程）
|
课程代码 |
学分 |
课程名称 |
|
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 |
|
DATA7902 |
4 |
Data Science Capstone Project 2 |
Part B1 – 至少6学分（从以下课程中选择）
|
课程代码 |
学分 |
课程名称 |
|
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6学分（从以下课程中选择）
|
课程代码 |
学分 |
课程名称 |
|
COMP7703 |
2 |
Machine Learning |
|
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 选修课-剩余学分
|
课程代码 |
学分 |
课程名称 |
|
ACCT7101 |
2 |
Accounting |
|
FINM7401 |
2 |
Finance |
|
FINM7403 |
2 |
Portfolio Management |
|
MKTG7501 |
2 |
Fundamentals of Marketing |
|
MKTG7503 |
2 |
Consumer & Buyer Behaviour |
|
MKTG7510 |
2 |
Market & Consumer Research |
|
ECON7310 |
2 |
Elements of Econometrics |
|
ECON7350 |
2 |
Applied Econometrics for Macroeconomics and Finance |
|
ECON7390 |
2 |
Financial Econometrics |
|
BINF6000 |
2 |
Concepts in Bioinformatics |
|
STAT7174 |
2 |
Applications of Computational Statistics |
|
BINF6001 |
2 |
Introduction to Proteins and Nucleic Acids |
|
BINF7000 |
2 |
Advanced Bioinformatics |
|
BINF7001 |
2 |
Advanced Genome Informatics |
|
PUBH7630 |
2 |
Introduction to Biostatistics |
|
PUBH7600 |
2 |
Introduction to Epidemiology |
|
STAT7610 |
2 |
Longitudinal & Correlated Data |
|
COSC7504 |
2 |
Introduction to Computational Biology |
|
COSC7502 |
2 |
High-Performance Computing |
|
COSC7500 |
2 |
Numerical Methods in Computational Science |
|
MATH7039 |
2 |
Financial Mathematics |
|
MATH7049 |
2 |
Computation in Financial Mathematics |
|
MATH7091 |
2 |
Financial Calculus |
|
STAT7301 |
2 |
Mathematical Statistics |
|
STAT7303 |
2 |
Experimental Design |
|
STAT7304 |
2 |
Probability Models & Stochastic Processes I |
|
STAT7503 |
2 |
Advanced Statistics II |
|
STAT7504 |
2 |
Advanced Probability & Stochastic Processes I |
|
STAT7505 |
2 |
Advanced Probability & Stochastic Processes II |
以上就是关于澳洲昆士兰大学数据科学硕士课程设置的情况，了解更多课程详情，欢迎咨询IDP留学顾问，全国免费咨询热线：400-821-8688。