Artificial Intelligence

Overview

The Artificial Intelligence program focuses on data science fundamentals, machine learning techniques, and the development of intelligent systems. Students acquire the skills to design, implement, and manage AI projects to solve real-world problems across various fields and meet business needs in an increasingly globalized environment.

Major code

7480107

Enrollment combination

A00: Mathematics, Physics, Chemistry
A01: Mathematics, Physics, English
A03: Mathematics, Physics, History
A04: Mathematics, Physics, Geography
A05: Mathematics, History, Chemistry
A07: Mathematics, History, Geography
C04: Mathematics, Literature, Geography
C07: Literature, History, Physics
D01: Mathematics, Literature, English
D07: Mathematics, Chemistry, English
D09: Mathematics, History, English
D10: Mathematics, Geography, English
X01: Mathematics, Literature, Economic and Legal Education
X02: Mathematics, Literature, Informatics
X03: Mathematics, Literature, Industrial Technology
X05: Mathematics, Physics, Economic and Legal Education
X06: Mathematics, Informatics, Physics
X07: Mathematics, Physics, Industrial Technology
X17: Mathematics, History, Economic and Legal Education
X21: Mathematics, Geography, Economic and Legal Education
X70: Literature, History, Economic and Legal Education

Academic years

3.5 - 4 years

Degree

Bachelor

Artificial Intelligence

Highlights of the training program

Comprehensive and modern learning environment

The Faculty of Information Technology is equipped with cutting-edge facilities, updated annually to meet students' academic and practical needs. Notably, high-performance computer labs are regularly upgraded, enabling students to execute complex projects and access modern technologies. Additionally, the faculty boasts three specialized Cisco labs designed to international standards, providing students with advanced practical training in computer networks and cybersecurity.

Experienced Faculty with Practical Expertise

The faculty comprises highly qualified instructors with extensive practical experience, having been trained and worked in developed countries such as the United States, Canada, and South Korea, bringing up-to-date and practical knowledge to students. Moreover, these lecturers inspire and actively support students throughout their studies.

Access to Cutting-Edge Technologies and Projects

IT students have numerous opportunities to engage in research and application projects using the latest technologies. At the AIBOT Research Center, students not only learn but also practice and develop innovative products in artificial intelligence (AI) and robotics. This serves as an incubator for groundbreaking ideas and prepares students for the workforce.

Internship Opportunities Starting from the First Year

From the first year, students are introduced to enterprises through internships and job-shadowing programs. These practical experiences familiarize students with professional work environments, help them build valuable experience, and establish key connections for their future careers.

Clubs and Industry Competitions

The Faculty is proud of its vibrant student clubs, where students can network, learn, and develop soft skills. Students regularly participate in competitions from institutional to national levels, enhancing their technical skills and showcasing their talents.

Learning, Teaching & Assessment Methods

Learning Methods

Students work directly with software companies, participating in simulated or commissioned projects, helping them master software development and management processes.

Teaching Methods

A combination of theoretical lectures, group discussions, hands-on practice in high-tech labs, and real-world assignments from enterprises.

Assessment Methods

Includes theoretical exams, skill evaluations through software products, and feedback from corporate partners on students’ workplace competencies.

Career opportunities

After graduation, students can take on the following job positions:

Software Architect
Software Testing Engineer
Software Project Manager
System Analyst
Software Maintenance Specialist
Mobile Software Engineer
Embedded Software Engineer
Software Requirements Analyst

Other Major

Bachelor of Information Technology

2026 Full-Time Undergraduate Program Tuition Fees

Dong Nai Technology University publicly announces tuition fees from the beginning of each academic program, helping parents and prospective students plan their finances proactively. The University also offers a variety of scholarships, financial support policies, and incentives for new students to help reduce financial burdens throughout their studies.

View tuition fees here

Learn, learn more, keep learning

For over two decades, Dong Nai Technology University (DNTU) has grown and developed with the steadfast belief that "Talented and virtuous individuals are the vital essence of a nation.". Our mission is to educate high-quality human resources through technology-based training and experiential learning. We are dedicated to conducting applied research and transferring knowledge to meet societal needs, embrace international integration, and foster sustainable development. DNTU takes pride in cultivating digital citizens who are prepared to embrace the future with confidence.