Research Focus
Research in relevant fields such as applications of key focus smart technologies, macro-environment and socio-economic development, market-consuming economies, individual and group decision-making mechanisms, international economic, trade and globalization development, corporate governance and organizational behaviour
Programme Structure and Funding
- The project is a full-time doctoral project: Quico Nabo
- The average school attendance rate is 5 for the fall year and the deadline for application is 12.15
- Tuition fees are approximately US$ 90,000/year, and the remaining costs for medical services, student health insurance, international services etc. are approximately US$ 10,000/ year, and approximately US$ 100,000/ year
Suitable Academic Backgrounds
The study is geared towards the application of students in the cross-cutting fields of management, management and social sciences, especially in the fields of management science and engineering, business management, business management and marketing, as well as in the fields of applied economics, industrial economics, international economics and trade, the world economy and public administration. In addition, there is a high degree of convergence between students of artificial intelligence, digital economy and behavioural economics in social science and cross-application research.
- Academic background: Holds an undergraduate or master’s degree with no minimum GPA score
- Language requirements: TOEFL 5.5 or IELTS 7.5, no requirement for single fractions (language exemption for national degrees in English)
Application Materials
1 Esssay (describes the reasons for pursuing a doctorate in management, indicating the field of application as follows: Organizational Behavior, Strategy or Organizational Theory, not exceeding the word 1000) 2 GMAT or GRE (no minimum score) 3 IELTS or TOEFL 4 at least two recommended letters 5
Application Period
Enrolment in the following autumn, 12 month 15
Career Prospects
Under the mentoring system, Ph.D. students will gain in-depth knowledge of the core theoretical and front-line research methods of artificial intelligence social applications, climate economy, consumer behaviour, decision-making and negotiation, globalization development, leadership and organizational behaviour, systematic training in key techniques such as empirical analysis of social sciences, behavioural mechanisms analysis, organization of management modelling, quantitative data analysis and cross-disciplinary research, and integrated scientific research across management, economics, artificial intelligence and social sciences.
Graduates have broad development prospects in the following fields: • Managing strategic research institutions: academic research in macroeconomics, organizational governance studies, consumer behaviour analysis and decision-making mechanisms at the Centre for International Economic Studies, the think tank on globalization and public policy, the Institute of Behavioural Sciences, the Business Trends Analysis Institute.
• High-end business and consulting industry: specialized research and think-tank-type work in top management consulting, economic analysis institutions, head science and technology and multinational enterprises, such as organizational management research, user behaviour research, analysis of strategic decision-making, globalizing business landscapes and industrial trends studies. • Smart and data-driven management positions: managing data modelling, quantitative analysis of consumption behaviour, organization of intellectual optimization and research on business decision-making in the digital economy, analysis of big business data, artificial intelligence community and behaviour science modelling.
Through systematic academic training and interdisciplinary scientific practice, Ph.D. students will form a solid theoretical foundation for management and cross-cutting social sciences, a rigorous empirical research and data analysis capacity, and an independent scientific thinking, academic innovation and cross-cutting collaborative capacity, which will provide a solid foundation for long-term development in the areas of top academic research, commercial think tanks and high-end industrial research.
