二、课程结构: 核心课程: Semiconductor Materials and Processing Semiconductor Devices and Systems Integrated Circuits Design Integrated Circuit Processing and Laboratory Statistics and Data Analytics Advanced Materials Analysis and Characterization Engineering Ethics and Academic Integrity 选修课程: Thin Film Materials and Preparation Technologies MEMS (microelectromechanical systems) and Sensors Microelectronics Packaging and Reliability Emerging Memory Technologies Artificial Intelligence for Materials Science Machine Vision for Semiconductor Manufacturing and Inspections Wide Bandgap Semiconductors for Microelectronics AP5020 Project
二、必修课程: 商业基础: BU.120.601 Business Communication BU.131.601 Business Leadership and Human Values BU.510.601 Statistical Analysis 核心课程: BU.520.601 Business Analytics BU.510.650 Data Analytics BU.520.650 Data Visualization BU.680.620 Operations Management STEM课程: BU.520.620 Advanced Business Analytics BU.520.690 Analytics Consulting Project BU.520.775 Practical Machine Learning BU.510.615 Python for Data Analysis
案例展示 Z同学 本科&硕士985院校 GPA3.4+&3.3+,IELTS7.0 录取结果: The Hong Kong Polytechnic University--文科类博士 香港理工大学(PolyU)是一所世界领先的大学,在多个学科领域拥有世界级的研究,取得了大胆的进展,开辟了新的领域。在2025年QS世界大学学科排名中,理大取得了可喜的成绩,有7个学科进入全球前30名,26个学科排名在全球前100名。这些成果证明了理大的学术卓越,作为世界领先的一些学科的领头羊。大学将进一步发展其在教育、研究和创新方面的卓越声誉,为社会的福祉做出更大的贡献。
二、数字城市管理硕士-Master of Digital Urban Management 数字城市管理硕士(MDUM)是香港大学城市规划与设计系及城市系统研究所合办的一年全日制课程。它旨在解决城市管理和规划中越来越多地使用数字技术和数据驱动方法的问题。新兴技术给城市带来积极和消极的影响。数字城市管理是介于数字技术和城市管理之间的交叉学科。它在未来的城市治理中发挥着重要作用,为解决城市问题提供了一个综合的视角。
除此之外,统计学硕士还设有以下五个专业方向,分别是: Statistics (generic stream) Applied Statistics Biostatistics (closed for 2026 entry) Data Science and Machine Learning Statistical Finance
二、课程结构: 核心课程: Applied Statistics Computational Statistics and Machine Learning Fundamentals of Statistical Inference Probability for Statistics Data Science 选修课程: Group A: Advanced Simulation Methods Probabilistic Generative Models Stochastic Processes Survival Models (7.5 ECTS) Nonparametric Statistics Group B: Advanced Bayesian Methods Advanced Statistical Finance Big Data: Statistical Scalability with PySpark Deep Learning (7.5 ECTS) Introduction to Statistical Finance Spatial Statistics (7.5 ECTS) Statistical Learning for high-dimensional data Time Series Analysis (7.5 ECTS)