Introduction to Interdisciplinary Course Program
Cross-Cultural Marketing and Communication
download: Cross-Cultural Marketing and Communication Program Course List
We offer practice-oriented course designs to emphasize practical case studies and industry internships, helping students apply theoretical knowledge to real-world work scenarios. Additionally, we integrate multiple disciplines such as marketing, international business, and cross-cultural psychology to cultivate students' comprehensive professional knowledge and skills. We provide an international learning environment with opportunities for international exchange and dual degrees, allowing students to study and live in different cultural contexts, deepening their cross-cultural experiences. Furthermore, we encourage students to obtain professional certifications to enhance their competitiveness and employment opportunities.
Cross-Cultural Marketing and Communication
- Required and selective courses
- Required courses: Marketing Management / Introduction to Marketing / Cross-Cultural Communication
- Selective courses: International Business Management / Global Cross-Cultural Marketing / Consumer Psychological Insights and Behavior / Retail Management / Introduction to Communication Theories / Persuasion Theories / Communication, Persuasion, and Negotiation / AI Multimedia Content Management and Creation
- Core Competencies
- Cross-Cultural Sensitivity and Understanding / Cross-Cultural Communication Skills / Cultural Adaptation Abilities / Global Awareness and Team Collaboration / Multilingual Proficiency
Diverse Career Opportunities: International Business and Multinational Corporations, Market Research and Analysis, Cultural Consulting and International Exchange, International Trade and Import/Export
Teaching Features: We offer practice-oriented course designs to emphasize practical case studies and industry internships, helping students apply theoretical knowledge to real-world work scenarios. Additionally, we integrate multiple disciplines such as marketing, international business, and cross-cultural psychology to cultivate students' comprehensive professional knowledge and skills. We provide an international learning environment with opportunities for international exchange and dual degrees, allowing students to study and live in different cultural contexts, deepening their cross-cultural experiences. Furthermore, we encourage students to obtain professional certifications to enhance their competitiveness and employment opportunities.
Artificial Intelligence in Investment
download: Artificial Intelligence in Investment Program Course List
The Artificial Intelligence Investment Program will integrate the expertise of the School of Management's English-taught programs and the Information Technology English-taught programs, focusing on the application and research of artificial intelligence in the investment field. The program will cover areas such as artificial intelligence technology, quantitative finance, data analysis, and programming. Students will learn how to use technologies like artificial intelligence and big data analysis for investment decision-making, risk management, and market forecasting. Through practical case studies, expert lectures, and hands-on projects, students will acquire interdisciplinary knowledge and skills, preparing them for the future intersection of finance and information technology.
Artificial Intelligence in Investment
- Required and selective courses
- Required courses：Python Programming, Investment Studies
- Selective courses：Financial Management / Global Industry Analysis / Interpreting Financial News / Derivative Financial Products / Portfolio and Securities Analysis / Financial Software Applications / Management Information Systems / Introduction to Artificial Intelligence / Information Privacy / Communication for IT Professionals / Introduction to Big Data Analysis
- Core Competencies
- Machine Learning and Data Analysis Skills / Understanding Financial Markets / Portfolio Management / Applications of Artificial Intelligence in the Financial Sector
Diverse Career Opportunities: Quantitative Analyst, Risk Management Specialist, FinTech Entrepreneur, Financial Consultant
Teaching Features: Our course is practice-oriented, providing practical case studies and projects that enable students to apply their machine learning and data analysis skills to solve real-world problems in financial markets. It features an interdisciplinary educational structure integrating disciplines such as finance, mathematics, computer science, and artificial intelligence to cultivate students' comprehensive professional knowledge and skills. The course utilizes advanced computing and data analysis facilities to support students in model development and testing. These features and career directions make the Artificial Intelligence Investment Program an ideal choice for students looking to develop careers in the fintech sector.