Program Introduction
Bachelor of Science in Business Intelligence and Data Analytics Program aims to cultivate versatile, interdisciplinary talents who understand business, master data, and drive decision-making. Integrating the core content of business management, artificial intelligence (AI), and data science, this program establishes a “three-in-one” training framework: solidifying business mindset + empowering data skills + implementing AI tools. Students note only systematically study core business theories and flexibly master cutting-edge methodologies such as AI-driven demand forecasting and data-driven decision-making; but also apply technical methods to real-world business scenarios through practical modules including digital marketing, intelligent supply chains, and intelligent financial risk control.
Program Features
1. Interdisciplinary “three-in-one” training framework
Integrate the core content of business management, AI, and data science, the program establishes a “three-in-one” training framework: solidifying business mindset + empowering data skills + implementing AI tools.
2. Data-driven decision-making
Highlight the core value of data methods in business decision-making, cultivating students’ ability to use cutting-edge intelligent technologies and data modeling to solve practical business problems.
3. Scenario-based practical applications
Through industry modules such as intelligent supply chain, intelligent financial risk control, and digital marketing, the data analysis and AI technologies are directly applied to real-world business scenarios, strengthening practical application capabilities.
4. Positioning of interdisciplinary professionals
Address the talent demands of the digital transformation wave, this program cultivates high-quality and interdisciplinary talents who understand business, master data, and drive decision-making, to enhance their cross-disciplinary employment competitiveness.
Graduates Prospects
With the booming development of the global digital economy, the demand for professionals in business intelligence and data analysis continues to rise, offering graduates broad employment prospects and diverse career paths. Graduates can pursue career paths including (but not limited to):
1. Core roles in data analysis and business analytics in industries such as finance, retail, manufacturing, and healthcare;
2. Professional and technical positions in emerging industries such as smart cities, industrial internet, digital marketing, and intelligent supply chains;
3. Work in government departments and public institutions in areas such as social governance datafication, environmental monitoring and analysis, and digital transformation projects;
4. Work in technology companies such as cloud computing services and AI solutions, in areas such as technology application, solution implementation, and operational management;
5. Work in cultural and creative industries, e-sports, and consulting services, in areas such as user profiling, market strategy development, and technology-enabled consulting;
6. Further studies at renowned universities at home and abroad, pursuing master’s or doctoral degrees to lay a solid foundation for research in cutting-edge fields such as artificial intelligence, quantitative business, and fintech.
For details, please refer to Faculty website, or contact School of Business (Tel: (853) 8897-2025; Email: bida@must.edu.mo).
