Information Technology

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 subject combination

- Group 1 (Relevant Major): Bachelor's degree in Computer Science, Software Engineering, Information Technology, Information Security, Information Systems, Computer Networks, Artificial Intelligence, Data Science, Computer Engineering Technology.
- Group 2 (Related Majors): Mathematical Informatics, Computer Science Education, Computer Engineering. Candidates who graduate with a bachelor's degree in the related majors mentioned above must supplement their knowledge.

Training time

1,5 – 2 years

Degree

Master

Master of Information Technology

Highlights of the 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.

Learning, Teaching & Assessment Methods

Teaching Methods

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

Assessment Methods

Assessment is conducted through assignments, presentations, projects, essays, and a thesis or capstone project to ensure that students achieve the intended learning outcomes.

Program structure

Year 1
Year 2

Semester 1

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

TA80301-English B2 (3)

CB80001-Philosophy (3)

TH80102-Advanced Analysis and Algorithm Design (3)

TH80103-Knowledge Base Systems (3)

CB80201-Research Methodology (3)

Electives (choose 1 out of 2):

TH81112-Information Systems Management (3)

TH81119-IoT and Applications (3)

Semester 2

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

TH80104-Advanced Databases (3)

TH80105-Modern Network and Communication Technology (3)

TH80106-Advanced AI (3)

TH80107-Management Science (3)

Electives (choose 3 out of 8)

TH81108-Distributed Databases (3 credits)

TH81109-Decision Support Systems (3 credits)

TH81110-Machine Learning and Applications (3)

TH81114-Information Security and Safety (3)

TH81116-Natural Language Processing (3)

TH81117-Image and Video Processing (3)

TH81118-Computer Vision Systems (3)

TH81120-Blockchain Technology (3)

Semester 3

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

TH80123-Internship

Electives (choose 2 out of 5):

TH81111 - Distributed Databases (3)
TH81115 – Data Science Seminar (3)
TH81113 – Information Technology Project Management (3)
TH81121 – Advanced Cloud Computing (3)
TH81122 – Computer Science Seminar (3)

Semester 4

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

Master’s Project (9)

Career opportunities

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

IT specialists and experts in enterprises, technology corporations, banks, and organizations domestically and internationally;
Researchers and lecturers in information technology at research institutes, universities, and colleges;
IT project managers, system architects, data analysts, and cybersecurity specialists;

Technology entrepreneurs and innovators.

Other Major

Bachelor of Software Engineering