The Artificial Intelligence program focuses on the foundations of data science, machine learning techniques, and the development of intelligent systems. Students are equipped with skills to design, deploy, and manage AI projects to solve practical problems across fields and meet business needs in the context of international integration.
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 yearsDegree
Bachelor
Students work directly with businesses and participate in simulated or commissioned AI projects, helping them master the processes of designing, developing, deploying, and managing intelligent systems.
The program combines lectures, group discussions, hands-on practice in technology laboratories, and practical assignments based on real-world AI applications.
Assessment includes theoretical tests, evaluation of skills through data and AI products, project reports, and feedback on students’ teamwork and ability to solve practical problems.
Semester 1
Note: [Course code] - [Course name] (credits)
Required courses
CB70107 - DNTU Orientation (1)
TA70301 - Key English 1 (3)
TA70302 - Key English 2 (3)
TA70303 - Key English 3 (3)
TA70304 - English Speaking Community (2)
CB70303 - Public Speaking Skills (1)
TH70105 - Programming Fundamentals (3)
TH70103 - General Informatics (2)
TN70001 - Introduction to Artificial Intelligence (1)
Semester 2
Note: [Course code] - [Course name] (credits)
Required courses
CB70401 - National Defense and Security Education 1 (3)
CB70402 - National Defense and Security Education 2 (2)
CB70403 - National Defense and Security Education 3 (1)
CB70404 - National Defense and Security Education 4 (2)
CB70304 - Emotional Management Skills (1)
CB70101 - Philosophy of Marxism and Leninism (3)
CB70202 - Advanced Mathematics (3)
TA70305 - Intensive English 1 (4)
PM70208 - Introduction to Artificial Intelligence (2)
PM70202 - Programming Techniques (3)
TN70002 - Computer Architecture (3)
Electives (Choose 1 of 3)
TH71101 - Operating Systems (2)
TN71002 - Introduction to Electronics (2)
TN71019 - Ethics in AI (2)
Semester 3
Note: [Course code] - [Course name] (credits)
Required courses
CB70411 - Swimming (1)
CB70305 - Communication and Relationship-Building Skills (2)
CB70106 - Introduction to Law (2)
CB70102 - Political Economy of Marxism and Leninism (2)
TA70306 - Intensive English 2 (4)
TH70106 - Computer Networks (3)
TN70003 - Python Programming (3)
TN70023 - Discrete Structures (3)
Electives (Choose 1 of 3)
CB71101 - Environment and Sustainable Development (2)
CB71102 - Behavioral Psychology (2)
CB71103 - Medical Ethics Psychology (2)
Semester 4
Note: [Course code] - [Course name] (credits)
Required courses
CB70307 - Accident Prevention Skills (2)
CB70206 - Scientific Research Methodology (2)
CB70103 - Scientific Socialism (2)
TA70307 - Intensive English 3 (4)
PM70203 - Database Systems (3)
TN70006 - Advanced Project-Based Programming (2)
TN70004 - Mathematics for AI (2)
Electives (Choose 1 of 3)
CB71412 - Football (2)
CB71403 - Physical Education 2 - Volleyball (2)
CB71404 - Physical Education 2 - Badminton (2)
Electives (Choose 1 of 3)
CB71104 - Green Economy and Sustainable Development (2)
CB71105 - Vietnamese Culture and Ethnic Music (2)
CB71106 - History of World Civilization (2)
Electives (Choose 1 of 3)
TN71003 - Introduction to Digital Circuits (3)
TH71103 - Introduction to Data Science (3)
TN71004 - Knowledge Representation and Reasoning (3)
Semester 5
Note: [Course code] - [Course name] (credits)
Required courses
CB70309 - Effective and Creative Thinking Skills (2)
CB70104 - Ho Chi Minh Thought (2)
CB70105 - History of the Communist Party of Vietnam (2)
TA70308 - Intensive English 4 (4)
TH70107 - Data Structures and Algorithms (3)
TN70005 - Fundamentals of Data Analysis (3)
TN70007 - Artificial Intelligence (3)
Electives (Choose 1 of 2)
TN71005 - Graph Theory (2)
TN71006 - Probability and Statistics for AI (2)
Electives (Choose 1 of 2)
CB71413 - Fitness (1)
CB71406 - DanceSport (1)
CB71407 - Basketball (1)
CB71414 - Martial Arts (1)
Semester 6
Note: [Course code] - [Course name] (credits)
Required courses
PM70205 - Object-Oriented Programming (3)
TH70109 - Information Systems Analysis and Design (3)
TN70009 - Visual Analytics (3)
TN70010 - Big Data (3)
TH71111 - Computer Vision (3)
Electives (Choose 2 of 4)
TN71007 - Machine Learning - Supervised Techniques (3)
TN71008 - Machine Learning - Unsupervised Techniques (3)
TN71009 - Robotics (3)
TN71010 - Machine Learning and Pattern Recognition (3)
Semester 7
Note: [Course code] - [Course name] (credits)
Required courses
TH71113 - IT Project Management (3)
TH71110 - Deep Learning (3)
TN70012 - Specialized Topics in Artificial Intelligence (3)
Electives (Choose 4 of 8)
PM70210 - Information Security (3)
TN71011 - Deep Neural Networks (3)
TN71012 - Natural Language Processing (3)
TN71013 - Reinforcement Learning (3)
TN71014 - Digital Signal Processing (3)
TN71015 - Expert Systems (3)
TN71016 - Symbolic Programming for AI (3)
TN71017 - Fuzzy Logic and Applications in AI (3)
Semester 8
Note: [Course code] - [Course name] (credits)
Professional and graduation internship
TN70013 - Graduation Internship (8)
Graduation thesis
TN71020 - Graduation Thesis (10)
Alternative courses for the graduation thesis
TN71021 - Machine Learning with Big Data (4)
TN71022 - Computational Data Analysis (3)
TN71018 - Generative Artificial Intelligence (3)
Graduates may work in the following positions:
• AI Specialist.
• AI Systems Design Specialist.
• AI Research and Applications Officer.
• Engineer who designs, tests, and manages AI systems.
• Specialist developing data-analysis tools and intelligent systems.
• Manager, business professional, or commercial specialist in AI.
• Consultant who advises on and establishes AI technology processes.
• Specialist analyzing and proposing development directions for intelligent systems.
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.
Trong suốt hai thập kỷ xây dựng và phát triển một hành trình vẻ vang và đầy tự hào, Trường Đại học Công nghệ Đồng Nai không ngừng theo đuổi sự đổi mới sáng tạo thông qua hệ thống giáo dục toàn diện.
