Technology & Engineering / Faculty of Information Technology

Computer Science

The Computer Science (CS) program focuses on courses in artificial intelligence, machine learning, deep learning, big data, data analytics, data visualization, and natural language processing. Graduates are well-equipped for careers in artificial intelligence, data science, and software engineering.

Overview of the study field

Computer Science is not only a rapidly growing field that demands high intellectual capacity, but it also strongly appeals to young people passionate about technology and forward-thinking. It paves the way toward some of the most sought-after and high-value careers in the digital era.

Major code

7480101

Training duration

4 years - 12 semesters

Degree after graduation

Computer Science Engineer

Admission combination

Math, Physics, Chemistry (A00)
Math, Physics, English (A01)
Math, Physics, Literature (C01)
Math, Literature, English (D01)

Degree after graduation

Computer Science Engineer

Highlights of the training program

The Computer Science training program is designed with a modern approach, closely aligned with the real demands of the technology market. Students will learn everything from basic programming to advanced fields such as artificial intelligence, cybersecurity, big data, and cloud computing. With 50% of the curriculum dedicated to practical training, the program ensures that students not only master theoretical knowledge but also gain hands-on experience through real-world projects and close collaboration with industry partners. Notably, students are regularly updated with the latest technologies such as AI, Blockchain, IoT, and Cloud Computing, ensuring a strong competitive advantage upon graduation.

Modern training program

The training program is updated to stay ahead of technological trends, equipping students with the knowledge and skills needed to compete and thrive in the highly competitive job market.

Top-tier faculty members

100% of the faculty members in the Faculty of Information Technology who teach the Computer Science program hold a Master's degree or higher. They have been rigorously trained at reputable IT institutions both domestically and internationally, with strong expertise, extensive practical experience, and a deep commitment to their students.

Modern facilities

The faculty has 03 practical workshops to support practical courses that are closely tied to job opportunities. The AI and IoT Lab provides server platforms and internet-connected software, enabling students to work on real-world problems, solutions, and projects.

Graduate competencies

Learning Outcomes

The learning outcomes for the Computer Science program at Dai Nam University are designed with a practical, application-oriented approach, closely aligned with the needs of businesses and the digital transformation trends. Upon graduation, students will meet the following standards:

🔹Solid Professional Knowledge: Strong understanding of fundamental principles in Computer Science, data structures, algorithms, programming, artificial intelligence, big data, cybersecurity, etc.

🔹 Proficient Professional Skills: Ability to design, build, and develop software; analyze and solve problems using logical thinking and algorithms; proficient in using common programming languages and tools such as Python, Java, C++, SQL, etc.

🔹 Foreign Language – IT – Soft Skills: Achieve an English proficiency level of B1 or higher, with the ability to use technical English effectively; possess skills in teamwork, communication, presentation, time management, and critical thinking.

🔹 Innovative Thinking – Adaptability: Ready to learn new technologies, work in a global environment, and have an entrepreneurial spirit and creativity.

🔹Broad Career Opportunities: Graduates can work in positions such as software developers, software engineers, AI engineers, data engineers, cybersecurity specialists, system administrators, etc., at both domestic and international tech companies.

Curriculum structure

Curriculum overview

The first-year curriculum

The second-year curriculum

The third-year curriculum

The fourth-year curriculum

Learning and teaching methods

Active, practical, and experience-enhancing teaching methods

Teaching focuses on core concepts with a strong emphasis on practical application, enhancing students' hands-on experience through real-world problem-solving.

Job opportunities after graduation

Career opportunities

In the digital age, Computer Science is a high-demand field offering attractive salaries and unlimited career opportunities!
What can graduates do?
1. Software, Web, and Mobile App Developer
2. AI, Machine Learning, and Data Science Engineer
3. Cybersecurity & Blockchain Specialist
4. Game, AR/VR, and IoT Developer
5. System Administration, DevOps, and Cloud Computing Engineer
Where can they work?

Major technology corporations: Google, Microsoft, Amazon, FPT, VNPT, Viettel...

Technology startups

Banks and financial institutions – Data technology & security applications

Multinational enterprises – Digital transformation, software system development
How much is the salary?
Attractive Salary Range:
- Fresh graduates: 12 – 20 million VND/month
- With 2–3 years of experience: 25 – 40 million VND/month
- Experts & Managers: Over 50 million VND/month

Admission methods and registration guidelines for 2025

03 methods

1/ Method 1: Admission based on the 2024 National High School Graduation Exam results.

2/ Method 2: Admission based on high school academic records.

3/ Method 3: Direct admission according to the regulations of the Ministry of Education and Training (MOET).

04 combinations

A00 (Math, Physics, Chemistry)
A01 (Math, Physics, English)
C01 (Math, Physics, Literature)
D01 (Math, Literature, English)

Registration procedures

Register for admission at: https://xettuyen.dainam.edu.vn/

Fill out the online application form at: http://hosoxettuyen.dainam.edu.vn/

Register for admission consultation 2025

Dai Nam University offers admissions to 36 academic programs across a diverse range of disciplines, including Healthcare, Engineering and Technology, Economics and Business, and Social Sciences and Humanities.

Fullname

You need to re-enter this information.

Phone number

You need to re-enter this information.

Address

You need to re-enter this information.

Training system Field of interest