香港大学
专业：Master of Data Science 数据科学硕士
[学费： HK$309,000
[录取要求：Minimum Admission Requirements]
[Applicants shall have taken at least one university or post-secondary certificate course in each of the following three subjects (calculus and algebra, computer programming and introductory statistics) or related areas.]
[最低入学要求][申请人应持有学士学位或同等学历。]
[申请人应至少参加过以下三门科目（微积分和代数、计算机编程和统计学导论）或相关领域的一门大学或中学后证书课程。]
[申请人应符合大学入学要求。]
[课程：Programme Structure]
[The curriculum is the same for both full-time and part-time study mode. You may refer to the 2024 syllabuses and regulations (subject to approval). The curriculum is extracted below.]
| Compulsory Courses (24 credits) | 必修课（24学分） |
|---|---|
| COMP7404 Computational intelligence and machine learning (6 credits) | COMP7404计算智能与机器学习（6学分） |
| DASC7011 Statistical inference for data science (6 credits) | DASC7011数据科学统计推理（6学分） |
| DASC7104 Advanced database systems (6 credits) | DASC7104高级数据库系统（6学分） |
| STAT7102 Advanced statistical modelling (6 credits) | STAT7102高级统计建模（6学分） |
| Disciplinary Electives (36 credits)* | 学科选修课（36学分）* |
| List A (at least 12 credits) | 列表A（至少12个学分） |
| COMP7107 Management of complex data types (6 credits) | COMP7107复杂数据类型的管理（6学分） |
| COMP7305 Cluster and cloud computing (6 credits) | COMP7305集群与云计算（6学分） |
| COMP7409 Machine learning in trading and finance (6 credits) | COMP7409交易和金融领域的机器学习（6学分） |
| COMP7503 Multimedia technologies (6 credits) | COMP7503多媒体技术（6学分） |
| COMP7506 Smart phone apps development (6 credits) | COMP7506智能手机应用程序开发（6学分） |
| COMP7507 Visualization and visual analytics (6 credits) | COMP7507可视化和可视化分析（6学分） |
| COMP7906 Introduction to cyber security (6 credits) | COMP7906网络安全导论（6学分） |
| DASC7606 Deep learning (6 credits) | DASC7066深度学习（6学分） |
| FITE7410 Financial fraud analytics (6 credits) | FITE7410财务欺诈分析（6学分） |
| ICOM6044 Data science for business (6 credits) | ICOM6044商业数据科学（6学分） |
| List B (at least 12 credits) | 列表B（至少12个学分） |
| STAT6008 Advanced statistical inference (6 credits) | STAT6008高级统计推断（6学分） |
| STAT6013 Financial data analysis (6 credits) | STAT6013财务数据分析（6个学分） |
| STAT6015 Advanced quantitative risk management (6 credits) | STAT6015高级量化风险管理（6学分） |
| STAT6016 Spatial data analysis (6 credits) | STAT6016空间数据分析（6学分） |
| STAT6019 Current topics in statistics (6 credits) | STAT6019统计学当前主题（6学分） |
| STAT7008 Programming for data science (6 credits) | STAT7008数据科学编程（6学分） |
| STAT8003 Time series forecasting (6 credits) | STAT8003时间序列预测（6学分） |
| STAT8017 Data mining techniques (6 credits) | STAT8017数据挖掘技术（6学分） |
| STAT8019 Marketing analytics (6 credits) | STAT8019营销分析（6学分） |
| STAT8300 Career development and communication workshop (Non-credit-bearing) | STAT8300职业发展和沟通研讨会（无学分） |
| STAT8306 Statistical methods for network data (3 credits) | STAT8306网络数据的统计方法（3学分） |
| STAT8307 Natural language processing and text analytics (3 credits) | STAT8307自然语言处理和文本分析（3学分） |
| STAT8308 Blockchain data analytics (3 credits) | STAT8308区块链数据分析（3学分） |
| Capstone requirement (12 credits) | 顶点要求（12学分） |
| DASC7600 Data science project (12 credits) | DASC7600数据科学项目（12学分） |
| DASC8088 Data science practicum (6 credits) + a 6-credit course (from List A or List B) | DASC088数据科学实践（6学分）+6学分课程（来自列表a或列表B） |
