DATA SCIENCE

( 7460108 )

ADMISSIONS 2026

1. Admission quotas, subject combinations for admission, and admission codes.

Data science

Subject combinations for admission:

Assessment based on academic transcripts and high school graduation exam scores.

Combination 1: A00: Mathematics, Physics, Chemistry

Combination 2: A01: Mathematics, Physics, English

Combination 2: C01: Mathematics, Physics, Literature

Combination 3: D01: Mathematics, Literature, English

Combination 4: D07: Mathematics, Chemistry, English

Combination 5: X06: Mathematics, Physics, Informatics

Combination 7: X26: Mathematics, Computer Science, English

Assessment of thinking skills (organized by Hanoi University of Science and Technology)

Combination 8: K00: Mathematical Thinking, Reading Comprehension Thinking, Scientific Thinking/Problem Solving

Competency assessment (organized by the University of Education)

Combination 9: SP1: Mathematics, Physics, Chemistry

Combination 10: SP2: Mathematics, Physics, English

Combination 11: SP4: Mathematics, Literature, English

Computer-aided input assessment (V-SAT)

Combination 12: VS1: Math, Physics, Chemistry

Combination 13: VP2: Mathematics, Physics, English

combination p 14: VP4: Math, Literature, English

Admission cutoff score in 2025: 25 points

2. Introduction to the training program/specialization, training duration, training level, and degree awarded.

2.1. Introduction to the field/specialization:

In today's digital age, data has become an incredibly important resource for many aspects of life. The explosion of information technology and the continuous development of internet-connected devices have generated enormous amounts of data. Data science provides organizations and businesses with the ability to make data-driven decisions rather than relying on intuition. Through data analysis, managers can identify trends, predict the future, and make more accurate decisions, thereby enhancing operational efficiency and minimizing risks. In today's fiercely competitive environment, the ability to leverage data to create a competitive advantage is crucial. Companies can use data science to optimize marketing strategies, improve customer experience, and develop new products/services to meet market needs. Beyond business, data science also plays a vital role in other fields such as healthcare, education, and public administration. Data science is not just a passing trend; it has become an indispensable element in many aspects of life. With its ability to transform data into valuable knowledge, data science is and will continue to play a crucial role in the development of global society and the economy.

Data science is the foundation of many advanced technologies such as artificial intelligence, machine learning, and big data. Research and applications of data science can create significant breakthroughs, contributing to enhancing a nation's competitiveness on the global technology map.

The Data Science program at Hanoi University of Civil Engineering combines knowledge of mathematics, statistics, and information technology with specialized practical skills in machine learning/data mining, data analysis, processing and visualization, deep learning, and computer vision. In addition, students gain access to specialized applied knowledge such as the application of data science and artificial intelligence to data processing in fields like bioinformatics, speech processing, smart cities, and environmental science. This ensures that graduates possess the necessary knowledge and skills to meet the demands of the data science and artificial intelligence job market.

2.2. Training duration, training level, and degree awarded:

Graduates are awarded a bachelor's degree equivalent to level 6 of the Vietnamese National Qualifications Framework, with a designed training duration of 3.5-4 years.

3. Program learning outcomes (Bachelor's degree) (According to Decision 1982/QD-TTg)

3.1. Regarding knowledge

- Basic knowledge of social sciences, economic sciences, and political science.

- In-depth knowledge of data collection, storage, analysis, synthesis, and discovery, and the ability to provide scientific solutions to problems in specific professional fields.

- In-depth knowledge of the analysis, design, implementation, and operation of computing systems with practical value, especially applications related to data analysis and processing, machine learning, and artificial intelligence.

3.2. Regarding skills

- Skills necessary for researching, developing, and utilizing computing systems in various fields.

- Effective communication and teamwork skills

- Analytical, reasoning, evaluation, and decision-making skills

- Possesses the ability to manage and organize the implementation of tasks in projects within the fields of Information Technology, Data Science, and Artificial Intelligence.

- Possess foreign language proficiency according to the Vietnamese Foreign Language Proficiency Framework as prescribed by the Ministry of Education and Training.

- Capable of generating ideas, designing ideas, implementing and operating ideas within the context of societal and business needs.

3.3. Regarding autonomy and responsibility

- Working independently or in teams under changing work conditions, taking personal and team responsibility.

- Instruct and supervise others in performing specific tasks.

- Self-directed, able to draw professional conclusions and defend personal viewpoints.

- Planning, coordinating, managing resources, evaluating, and improving the effectiveness of activities.

4. Scholarship and academic support opportunities

- There are opportunities to receive scholarships each semester depending on academic performance.

- Support for tuition fee reductions/exemptions for foreign language (English, Japanese), programming, and data science courses at partner institutions in the industry.

- It is possible to pursue a double degree or a second degree in other fields or specializations at the school.

- Free participation in joint courses taught by the Faculty/School's partner businesses.

- Opportunity to visit and attend academic seminars and participate in practical internships at businesses.

- Opportunity to join student clubs of various faculties/schools, participate in sports, arts, extracurricular activities, and scientific research.

5. Job position

6. Opportunities for Postgraduate Studies

There are many opportunities for advanced study at the postgraduate and doctoral levels in Data Science, Computer Science, and Information Technology both domestically and internationally.

7. Contact:

• Faculty of Information Technology
• Address: Room P410, Building A1 - Hanoi University of Civil Engineering.
• Hotline: 0979 311 424 
• Email: congnghethongtin@huce.edu.vn
• Website: fit.huce.edu.vn
• Fanpage (Students can inbox and receive direct admissions advice from faculty members of the department): https://www.facebook.com/cnttdhxd
• In-person Admissions Counseling (answering questions about quotas, minimum scores, cutoff scores, tuition fees, etc.). Click on the icon you want to receive counseling from:
  • Consultation via Facebook Messenger:
  • Consultation via AI chatbot virtual assistant   
• Or contact directly:
• • Dr. Le Thi Thuy Duong: 0904 310 277
  • Dr. Nguyen Ha Duong: 0987567271
  • Assoc. Prof. Dr. Pham Duc Thoan: 0985130218

Please refer to other majors/specializations within the Faculty of Information Technology.

• Computer Science
• Information Technology
• Multimedia Technology major
• Civil Engineering major, specializing in Construction Informatics.
• Information Security (New) Major