HKUST(GZ) Info Hub MSc

MSc DCAI

Program
Introduction

General Information on MSc DCAI

Master of Science in Data-Centric Artificial Intelligence Technology (MSc DCAI)

Full-time and Part-time

» Duration

Full-time: 2 yrs

Part-time: 3 yrs

» Total no. of credits

30 credits/program

» Medium of Instruction

English

Face-to-face mode of delivery

(*Some courses may be delivered in mixed mode to allow in-need students to attend the courses via real-time online mode.)

Degree awarded

Master of Science (MSc), The Hong Kong University of Science and Technology

Program Features

The MSc in Data-Centric Artificial Intelligence Technology (MSc DCAI) program at the Hong Kong University of Science and Technology (Guangzhou) is the first MSc program in Asia to implement a dual supervision system and to provide each student with a year-long internship in industry.

A year-long internship at a variety of prestigious organizations or companies around the world, such as Alibaba, Huawei, MSRA, Samsung, NAVER, etc.

Dual supervision system allows each student to have an academic supervisor from HKUST & HKUST (GZ), and an industrial supervisor including vice presidents, chief scientists, and directors of leading technology enterprises.

Program Objectives

Educate students with academic literacy in big data and AI.
Provide students with hands-on experience to work on industry-level independent projects and internships under the guidance oftechnology leaders from leading enterprises worldwide.
Enables students to apply learning to practice, empowering students to be skilled technology leaders and successful big data and AI professionals in the fast-changing business environment.

Intended Learning Outcomes

Develop advanced knowledge and understanding of state-of-the-art big data and AI technologies and analysis methods, such as Data Mining, AI/ Deep Learning, Data Science and Engineering (Database, Hadoop, HDFS, MLOps), Algorithms, Probabilistic Graphical Models (GNN).
Perform various industry data analytics tasks using big data, AI, and computing techniques.
Exercise independent thinking and demonstrate critical analytical skills essential from the perspective of big data and AI.
Investigate existing problems in big data and AI and conduct original big data and AI research independently with in-depth knowledge and practical experience to solve complex problems in the industry.
Apply a range of big data and AI knowledge and techniques effectively into practice in the academic field and industry for robust data analytics and applications.