项目简介
Big data is poised to change the way enterprises function and a society operates, and is changing the way science and engineering is conducted. The MSc program in Big Data Technology jointly offered by the Departments of Computer Science and Engineering and Mathematics integrates different disciplines together to allow students to know all the important aspects of the big data and how it is used in the real world.
大数据将改变企业的运作方式和社会运作方式，并正在改变科学和工程的运作方式。由计算机科学与工程和数学部联合提供的大数据技术的理学硕士课程，将不同的学科整合在一起，让学生了解大数据的所有重要方面，以及如何在现实世界中使用。
The program helps to integrate different disciplines together and students in this program will learn the major components of big data:
这个项目帮助将不同的学科整合在一起，这个项目的学生将学习大数据的主要组成部分:
big data infrastructure大数据基础设施
big data integration大数据集成
big data storage大数据存储
big data modeling and management大数据建模和管理
big data computing systems大数据计算系统
big data analytic and mining systems大数据分析和挖掘系统
big data security, policy and social implications, as well as human factors大数据安全，政策和社会影响，以及人类因素
big data applications in various fields (data science)各个领域的大数据应用程序(数据科学)
入学要求
Target Students
The target students for this MSc are graduates of computer / mathematics-related Bachelor‘s programs and working professionals in industry, government or other institutions. Fresh graduates who have good academic record are also our targets.
这个理学硕士课程的目标学生是计算机/数学相关的学士课程和工业、政府或其他机构的专业人士。有良好学术记录的应届毕业生也是我们的目标。
Admission Requirement
Applicants must possess a bachelor’s degree in Computer Engineering, Computer Science, Mathematics or a related field from a recognized university or tertiary institution. Applicants with a bachelor’s degree in other disciplines must have relevant working experience in IT and Mathematics related fields.
申请人必须具备计算机工程、计算机科学、数学或相关领域的学士学位。具有其他学科学士学位的申请人在IT和数学相关领域必须有相关的工作经验。
English Requirements
Applicants from Universities where English is not the medium of instruction, please provide an English proficiency proof in the application. Some recommended scores are as follows:
IELTS Overall score ≥ 6.0 All sub-scores ≥ 5.5
TOEFL(iBT) score ≥ 80
课程设置
Core Courses核心课程
MSBD 5001 Foundations of Data Analytics数据分析基础
MSBD 5002 Data Mining and Knowledge Discovery (Co-Listing with CSIT 5210数据挖掘和知识发现
MSBD 5003 Big Data Computing大数据计算
MSBD 5004 Mathematical Methods for Data Analysis数据分析的数学方法
Elective Courses选修课
MSBD 5005 Data Visualization数据可视化
MSBD 5006 Quantitative Analysis of Financial Time Series (Co-Listing with MAFS 5130)金融时间序列定量分析
MSBD 5007 Optimization and Matrix Computation优化和矩阵计算
MSBD 5008 Introduction to Social Computing社会计算概论
MSBD 5009 Parallel Programming并行编程
MSBD 5010 Image Processing and Analysis图像处理和分析
MSBD 5011 Advanced Statistics: Theory and Applications高级统计:理论和应用
MSBD 5012 Machine Learning机械学习
MSBD 5013 Statistical Prediction统计预测
MSBD 5014 Independent Project独立项目
*Courses are offered subject to needs and availability.
注意事项
Date of Program Commencement
September every year. Early application is advisable.
每年9月开学，建议提前申请。
Program Duration and Class Hour
Full-time
1 year to complete 30 credits
Fall 15 credits
(equivalent to five 3-credit courses)
Spring 15 credits
(equivalent to five 3-credit courses)
学费180000港币
Application Deadline
For 2017 Fall (commence in 2017 Sept)
March 1, 2017 (Full-time)
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