Artificial Intelligence and Data Science

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General Information

  • Department: Artificial Intelligence
  • Head: Dr. Ta Quang Chieu
  • Slogan: Master Artificial Intelligence, Create Value from Data
  • Degree level: Full-time undergraduate program

Overview

Artificial Intelligence and Data Science prepares graduates to turn data into knowledge and develop AI systems for digital transformation. At Thuyloi University, students build strong foundations in mathematics, programming, computer science, and data while advancing to machine learning, deep learning, computer vision, natural language processing, generative AI, and big data. The program connects academic knowledge with projects, research, and industry needs, preparing graduates for careers in technology, finance, manufacturing, agriculture, water resources, the environment, and public services.

Program Introduction

The 140-credit curriculum follows an eight-semester pathway from core foundations to the development and deployment of AI and data solutions. Practical work, special topics, projects, and internships are combined with electives in Generative AI and Large Language Models, recommender systems, intelligent interaction, cloud computing, blockchain, and the Internet of Things.

Highlights

  • AI and data in one pathway. Mathematics, programming, and computer science foundations support progressive learning in data analytics, machine learning, and deep learning.
  • Current technologies. The curriculum covers generative AI, Large Language Models, computer vision, natural language processing, and big data analytics.
  • Project-based learning. Special topics, course projects, internships, and graduation work develop practical problem-solving skills.
  • Interdisciplinary and responsible applications. Students learn to create safe and transparent AI solutions for diverse sectors, including agriculture, water resources, and the environment.

Program Objectives

  • Knowledge. Apply mathematics, statistics, computer science, and data foundations to model and solve AI problems.
  • Technical capability. Collect, prepare, and visualize data; build, evaluate, and deploy machine learning, deep learning, and AI applications.
  • Professional capability. Work in teams, communicate technical results, read professional English, and present evidence for decision-making.
  • Responsible practice. Pursue lifelong learning and research while using AI and data safely, transparently, lawfully, and ethically.

Curriculum Structure

The program comprises 140 credits organized across a standard eight-semester plan. The pathway below summarizes the curriculum proposed for Cohort K67 from 2025; implementation follows the program formally approved by the University.

Artificial Intelligence and Data Science

Career Prospects

  • AI engineer. Develop machine learning, deep learning, computer vision, natural language processing, speech, and generative AI systems.
  • Data professional. Work as a data scientist, data engineer, data analyst, or big data analyst.
  • Intelligent product developer. Build recommender systems, intelligent interaction, and AI-enabled products and services.
  • Domain AI specialist. Apply AI in technology, banking, insurance, manufacturing, agriculture, water resources, the environment, and public administration.
  • Research and education. Pursue research, teaching, or postgraduate study in Vietnam or abroad.

Academic Staff

The Department’s academic staff have expertise in artificial intelligence, machine learning, deep learning, data science, big data, and computer vision. They contribute to teaching and research and supervise student projects and applied AI work.

No Name Academic title and role
1 Ta Quang Chieu PhD, Head of Department
2 Pham Tri Cong PhD
3 Nguyen Trinh Dong PhD
4 Nguyen Quang Hoan Associate Professor, PhD
5 Tran Anh Dat MSc, PhD Candidate
6 Tran Thi Cam Giang MSc, PhD Candidate
7 Nguyen Dac Phuong Thao MSc

Images and Video

  • Video: https://youtu.be/WC2VO-czA4w?si=2DCGaX1xYh19Sdo4
  • Photos:

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Contact Information

  • Unit: Department of Artificial Intelligence, Faculty of Computer Science and Engineering, Thuyloi University
  • Address: Room 208, Building C1, 175 Tay Son Street, Kimlien, Hanoi, Vietnam
  • Email: [email protected]
  • Telephone: (+84) 024 35632211
  • Website: cse.tlu.edu.vn

 

Lê Quang Tuấn