Bachelor of Artificial Intelligence (Application-oriented)

The Bachelor of Artificial Intelligence (AI) program at the University of Finance and Marketing (UFM) is an application-oriented undergraduate program designed to meet the growing demand for high-quality human resources capable of applying Artificial Intelligence and Data Science in the fields of economics, finance, and digital marketing.

The program adopts an interdisciplinary approach that integrates fundamental knowledge in mathematics, statistics, computer science, and artificial intelligence with domain-specific knowledge in business, finance, and marketing. This integration enables learners to not only understand core AI principles and technologies, but also effectively apply AI-driven solutions to real-world business and socio-economic problems in the context of digital transformation.

With a total duration of four years and 122 credits, the curriculum is structured to balance theoretical foundations, practical skills, and professional competencies. Learners are systematically trained in data analysis, machine learning, deep learning, natural language processing, computer vision, and AI system deployment, while simultaneously developing analytical thinking, problem-solving skills, teamwork ability, and ethical awareness in the use of data and intelligent technologies.

To enhance career relevance and employability, the program offers two specialized concentrations aligned with labor market needs: (1) AI in Business and Financial Analytics, focusing on the application of AI and machine learning in financial analysis, risk management, and decision support; and (2) AI in Digital Marketing, emphasizing data-driven marketing analytics, consumer behavior analysis, and intelligent personalization in digital environments.

Career Prospects

Graduates of the Bachelor of Artificial Intelligence program are equipped with interdisciplinary knowledge and practical skills that enable them to pursue diverse career paths in both technical and business-oriented environments.

Typical career opportunities include roles such as Data Analyst, Machine Learning Engineer, AI Application Specialist, and AI System Developer in enterprises, financial institutions, technology companies, and public organizations. In the fields of finance and banking, graduates may work in areas such as risk analysis, fraud detection, credit scoring, market forecasting, and automated decision support systems. In digital marketing and e-commerce, graduates can take on positions related to customer analytics, recommendation systems, digital campaign optimization, and consumer behavior analysis.

With professional experience, graduates may advance to higher-level positions such as Business Analyst, Data Scientist, AI Project Manager, Digital Transformation Manager, or Technical Team Leader. The program also provides a solid academic foundation for graduates who wish to pursue postgraduate studies (Master’s or PhD) in Artificial Intelligence, Data Science, Computer Science, Business Analytics, or related disciplines, opening opportunities in research, teaching, and advanced professional practice.

Why Choose This Program

The Bachelor of Artificial Intelligence program at the University of Finance and Marketing is distinguished by its strong application-oriented approach and close alignment with real-world business needs. Rather than focusing solely on theoretical AI research, the program emphasizes the practical deployment of AI and data-driven solutions in economics, finance, and digital marketing contexts.

The curriculum is designed with a balanced structure that integrates core AI technologies—such as machine learning, deep learning, natural language processing, and computer vision—with essential knowledge in business, finance, and marketing. Learners are trained not only to build AI models, but also to understand business problems, analyze data, and translate analytical results into actionable insights for organizations.

Another key strength of the program is its emphasis on hands-on learning and professional skills development. Through practical modules, projects, internships, and capstone experiences, learners gain exposure to real datasets, industry-relevant tools, and modern AI platforms.

In addition, the program places strong emphasis on ethics, data security, and responsible AI practices, ensuring that graduates are well-prepared to work in regulated and socially responsible environments. By combining interdisciplinary knowledge, industry relevance, and an application-oriented philosophy, the program provides learners with a competitive advantage and strong adaptability in the rapidly evolving digital economy.