Staff & Faculty Students Admissions – Search Green DNTU 360 campus

Overview

The Master of Information Technology program at Dong Nai Technology University is designed with an application-oriented approach, aiming to equip learners with advanced, up-to-date, and systematic knowledge in information technology. The program focuses on developing learners’ ability to apply, design, implement, and manage IT solutions to address real-world problems in the context of digital transformation and the Fourth Industrial Revolution. Graduates are expected to be highly competent professionals who can work effectively in enterprise environments and meet the demands of both domestic and international labor markets.

Industry code

8480201

Admission method

Admission methodology: Selection, entrance examination, or a combination of selection and entrance examination, contingent upon the specific circumstances of each instance and the candidate's aptitude.

Training time

1.5 - 2 years

Industry code

Master

Master of Information Technology

Excellent features of the training program

Modern and in-depth curriculum
The program provides a solid and advanced foundation in core areas of information technology such as data science, artificial intelligence, information systems, software engineering, computer networks, and information security.
Development of practical application and problem-solving capabilities
Students are equipped with skills in requirement analysis, system design, implementation, and evaluation of information technology solutions, with an emphasis on teamwork, project management, and solving practical problems in enterprise environments.
Practical orientation and digital transformation focus
The curriculum emphasizes highly applicable courses aligned with the practical needs of enterprises and organizations, as well as digital transformation trends in management, production, and services.
Application of emerging technologies
Learners gain exposure to and conduct research on advanced technologies including artificial intelligence, machine learning, big data, cloud computing, Internet of Things (IoT) and cybersecurity.
Strong linkage with industry and professional practice
The program strengthens collaboration with enterprises and employers through practical courses, applied projects, professional seminars, and experiential learning activities, enabling learners to enhance their professional competencies and job readiness after graduation.

Teaching, Learning & Assessment Methods Learning

Learning

● The program employs active teaching methods that integrate theory and practice, project-based learning, case studies, and scientific research.

Teaching

● Using active teaching methods in the training process, encouraging and creating opportunities for learners to actively and creatively engage, thereby enhancing their ability to analyze, develop, and solve problems.

Assessment

The program implements diverse assessment methods to monitor students' academic progress. Additionally, students engage in presentations and debates, further developing their communication skills.

Program structure

Semester 1

Note: [Course code] - [Course name] (credits)

Compulsory Courses

- TA80301 English B2 (3)

- CB80102 Philosophy (3)

- TH80101 Research methodology in Information Technology (3)

- TH80102 Advanced Design and Analysis of Algorithms (3)

- TH80103 Knowledge-base System (3)

Elective Courses (choose 1 out of 2)

- TH81112 Management Information System (3)

- TH81119 IOT Technology and and Application (3)

Semester 2

Note: [Course code] - [Course name] (credits)

Compulsory Courses

- TH80104 Advanced Database (3)

- TH80105 Technology network and modern communication (3)

- TH80106 Advanced Artificial Intelligence (3)

- TH80107 Management Science (3)

Elective Courses (choose 3 out of 8)

- TH81108 Distributed Database (3)

- TH81109 Decision Support System (3)

- TH81110 Machine learning and applications (3)

- TH81114 Information Safety and Security (3)

- TH81116 Natural Language Processing (3)

- TH81117 Image and Video processing (3)

- TH81118 Computer Vision System (3)

- TH81120 Blockchain Technology (3)

Semester 3

Note: [Course code] - [Course name] (credits)

Compulsory Courses

- TH80123 Graduation Internship (6)

Elective Courses (choose 2 out of 5)

- TH81111 Analyze and Big Data Processing (3)

- TH81113 Information Technology Project Management (3)

- TH81115 Data science Topics (3)

- TH81121 Advanced Cloud Computing (3)

- TH81122 Computer science Topic (3)

Semester 4

Note: [Course code] - [Course name] (credits)

- TH80124 Graduation Thesis (9)

Cơ hội nghề nghiệp

Graduates of the Master of Information Technology program can pursue careers as:

1. IT specialists and experts in enterprises, technology corporations, banks, and organizations domestically and internationally; 

2. Researchers and lecturers in information technology at research institutes, universities, and colleges; 

3. IT project managers, system architects, data analysts, and cybersecurity specialists; 

4. Technology entrepreneurs and innovators.

"Learn, learn more, and keep learning."

For two decades, Dong Nai Technology University has grown and developed with a steadfast belief that "Talent is the nation's vital resource". Our mission is to: Train a high-quality workforce grounded in technology and practical experience; Conduct applied scientific research and transfer knowledge to meet societal needs, foster international integration, and promote sustainable development.
We take pride in nurturing digital citizens who are ready to conquer the future.