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The Master of Science (MSc) Program in Data-Driven Modeling is jointly offered by the Department of Physics and the Department of Mathematics. The program aims at training students with some science or engineering background who would like to prepare themselves for careers that require modeling skills based on information extracted from data. Data-driven modeling is an essential skill in many sectors involving information technology, such as computer services, commerce, finance, and public services. Due to the phenomenal growth in the speed and memory size of computer hardware, the omnipresence of Internet, and the accessibility of powerful computational algorithms, there is a strong demand for human power in hardware, software, services, infrastructure, information, and digital business. This program aims at training graduates to have strong skills in problem solving and logical thinking. These skills are essential for them to become competent in the data science sector. They will be trained to have hands-on experience in analyzing large amount of data, extract significant features from them, and hence provide valuable insights to understand complex situations and facilitate smart decision making for businesses, industries and services.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
The Master of Science (MSc) Program in Data-Driven Modeling is jointly offered by the Department of Physics and the Department of Mathematics. The program aims at training students with some science or engineering background who would like to prepare themselves for careers that require modeling skills based on information extracted from data. Data-driven modeling is an essential skill in many sectors involving information technology, such as computer services, commerce, finance, and public services. Due to the phenomenal growth in the speed and memory size of computer hardware, the omnipresence of Internet, and the accessibility of powerful computational algorithms, there is a strong demand for human power in hardware, software, services, infrastructure, information, and digital business. This program aims at training graduates to have strong skills in problem solving and logical thinking. These skills are essential for them to become competent in the data science sector. They will be trained to have hands-on experience in analyzing large amount of data, extract significant features from them, and hence provide valuable insights to understand complex situations and facilitate smart decision making for businesses, industries and services.
Admission Requirements
6.5+
80+
A bachelor’s degree in Science or Engineering disciplines, or A bachelor’s degree in other discipline and: Have relevant working experience in computation-related fields, and Have working knowledge in at least one computer language, and basic training in calculus and linear algebra.
MSc in Data-Driven Modeling
The Hong Kong University of Science and Technology, Hong Kong, Hong Kong SAR
# 17QS Subject Rankings
12 monthsProgramme duration
6,396 USDTuition Fee/year
15 Apr, 2024Application Deadline
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Data-driven modeling is an essential skill in many sectors involving information technology, such as computer services, commerce, finance, and public services. Due to the phenomenal growth in the speed and memory size of computer hardware, the omnipresence of Internet, and the accessibility of powerful computational algorithms, there is a strong demand for human power in hardware, software, services, infrastructure, information, and digital business.
This program aims at training graduates to have strong skills in problem solving and logical thinking. These skills are essential for them to become competent in the data science sector. They will be trained to have hands-on experience in analyzing large amount of data, extract significant features from them, and hence provide valuable insights to understand complex situations and facilitate smart decision making for businesses, industries and services.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Data-driven modeling is an essential skill in many sectors involving information technology, such as computer services, commerce, finance, and public services. Due to the phenomenal growth in the speed and memory size of computer hardware, the omnipresence of Internet, and the accessibility of powerful computational algorithms, there is a strong demand for human power in hardware, software, services, infrastructure, information, and digital business.
This program aims at training graduates to have strong skills in problem solving and logical thinking. These skills are essential for them to become competent in the data science sector. They will be trained to have hands-on experience in analyzing large amount of data, extract significant features from them, and hence provide valuable insights to understand complex situations and facilitate smart decision making for businesses, industries and services.
Admission Requirements
Domestic
International
Scholarships
The Belt and Road Admission Scholarship
Value
50% tuition fee waiver
Deadline
1 Mar 2026
Application requirements
QS Event Attendance is NOT required
Entry requirements
You must be admitted to this school to be awarded
MSc Program Admissions Scholarship
Value
$10000
Deadline
1 Mar 2026
Application requirements
QS Event Attendance is NOT required
Entry requirements
You must be admitted to this school to be awarded
MSc Program Academic Achievement Scholarship
Value
$1200
Deadline
1 Mar 2026
Application requirements
QS Event Attendance is NOT required
Entry requirements
You must be admitted to this school to be awarded
HKUST Business School’s MSc Diversity Excellence Scholarship
Value
$30000
Deadline
1 Mar 2026
Application requirements
QS Event Attendance is NOT required
Entry requirements
You must be admitted to this school to be awarded
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