This programme, Master of Science in Data Analytics and Business Economics (MScDABE), provides solid training in business economic analysis and data analytics. By taking various applied electives, in addition to the core foundation courses, students will be trained to analyse business economic issues using relevant data.

A distinct feature of this programme is a balanced training in business economic knowledge, statistical models, and programming skills.

这个项目，数据分析和商业经济学理学硕士(MScDABE)，提供坚实的培训在商业经济分析和数据分析。除了核心基础课程外，他还会通过选修各种应用型课程，训练学生使用相关数据分析商业经济问题。该课程的一个显著特点是在商业经济知识、统计模型和编程技能方面的平衡培训

Core Courses：

Managerial Economics and Business Strategy

Foundations in Big Data Analytics: Concepts and Techniques

Foundations in Big Data Analytics: Programming

Statistics for Data Science

Executive Workshop Series

Elective Courses：

Business Economics Internship

Artificial Intelligence for Business

Law and Economics of Data Protection

Projects for Data Analytics

Applied Cost-Benefit Analysis

Economics of Digital Markets

Data Visualization with Story-telling

Analytics for Spatial, Textual and Social Network Data

Data-driven Decision Making

Business and Economic Forecasting with Big Data

ECON7960 User Experience and A/B Testing

ECON7970 Applied Predictive Modeling

ECON7980 Innovation and Entrepreneurial Economy: China and Global Development

ECON7990 Economics of Smart Cities

公认大学学士学位，或同等学历的证明及成绩单

英语能力证明（托福iBT成绩至79分;雅思6.5分以上）

申请开始日期：9月28日

申请截止日期：次年6月7日

this programme aims at training: 

Competent analytics-enabled professionals: The Programme offers a variety of data-analytics courses supplemented by relevant statistical knowledge, programming skills and real-world business cases. Students can apply the technical skills to solve the business problems in hand data-analytically. 

Proficient data strategists: The Programme also offers courses on latest economic principles for business strategy, and challenges and future prospects of smart cities development. Equipped with critical thinking and data science knowledge, students can act as an interface towards potential clients and translate project requirements into manageable data science project subtasks.