1. Overview

The Department of Digital Technology, under the Faculty of Information Technology, is responsible for education and research in Artificial Intelligence (AI). The department emphasizes building a strong academic team and modern curricula to train highly qualified graduates and engineers capable of designing, optimizing, and deploying AI systems, models, and solutions in industrial and real-world settings.

Guided by the motto “Technology – Intelligence – Application,” the department actively advances the university’s strategic goals in Artificial Intelligence and Digital Transformation.

2. Faculty Members

• Dr. Thien Khai Tran (Head of Department)
• Assoc. Prof. Dr. Thuan Do Phan
• Dr. Thai Hoc Huynh
• Dr. Thanh Diu Tran Thi
• Dr. Thanh Ngo Nguyen
• Dr. Minh Dat Le Tran
• M.Sc. Phu Loc Vu (PhD Candidate)
• M.Sc. Cam Tu Lu Thi (PhD Candidate)

3. Teaching and Research Focus

The Department emphasizes both education and research in Artificial Intelligence, adopting an integrated approach that merges academic fundamentals, cutting-edge technologies, and digital transformation demands.

3.1.                 Teaching Orientation

The curriculum is crafted to be modern, student-focused, and aligned with digital transformation, featuring:

·       Integration of theory, practice, and projects through specialized courses and capstone projects.

·       Adoption of project-based learning and problem-based learning approaches

·       Encouragement of student involvement in scientific research and AI product development.

·       Enhancement of collaboration with industry, especially in digital transformation initiatives.

The goal is to train graduates capable of design and deploying AI systems that aid digital transformation in organizations and businesses.

3.2.                 Research Orientation

The Department concentrates on primary research areas in Artificial Intelligence, emphasizing system-level thinking, data-driven approaches, and digital transformation.

• Intelligent Information Systems
  Development of AI-driven systems that integrate data and knowledge to support analytics, decision-making, and digital processes transformation.
• Multimodal and Language Intelligence
  Research on multimodal learning and language models for processing and utilizing unstructured data in digital environments.
• Trustworthy and Explainable AI
  Focus on the reliability, interpretability, and calibration of AI models, especially in systems that require transparency and accountability.
• AI for Digital Transformation
  Designing and deploying AI solutions across fields like education, healthcare, tourism, and smart cities.

Research activities adopt an interdisciplinary approach, integrating deep learning, knowledge graphs, and large-scale data systems to create AI solutions that are scalable, deployable, and impactful in real-world digital transformation.

Vision

The Department aims to become a leading unit in AI education and research, playing a key role in digital transformation and the digital economy, while contributing high-quality human resources for the Industry 4.0 era.

4. Career Opportunities

Graduates in Artificial Intelligence can take on various professional roles in data analysis and AI system development, including:

• AI Engineer
• Machine Learning Engineer
• Data Analyst / Data Engineer
• Natural Language Processing Specialist / Computer Vision Engineer
• Development, deployment, and operation of intelligent systems in enterprises

With a solid foundation in mathematics, computer science, and AI, graduates are equipped to analyze, process, and evaluate data, as well as design and build AI models for real-world applications.

Students are trained in essential professional skills such as analysis, system design, model training, and deployment, preparing them for careers in AI and data science. At advanced levels, they can engage in designing, integrating, and optimizing large-scale AI systems, in line with the program’s engineering focus.

The curriculum combines practical training, internships, and industry-related capstone projects, allowing students to build real-world skills and adjust to the fast-changing tech environment.