Name of Programme (English and Chinese) Bachelor of Science (Honours) in Applied Data Science Programme
應用數據科學(榮譽)理學士課程
Mode of Study Full-time
Duration of Programme 4 years
Number of academic credits required for graduation 125
Estimated No. of New Students per year 40
Tuition Fee

#The tuition fee level is subject to annual review

 

Programme Curriculum (For Reference Only)

Year 1
Language Requirement (14 credits)
 
 
Code
Course Name
Credits 
CHI 101-2
First Year Chinese I & II
8
ENG 111-2
English Usage I & II
6
     
General Education Requirement (*Please refer to the GE course list.)
6
 
Major Core Courses (12 credits)    
Code Course Name Credits
ADS 100 Introduction to Data Science 3
ADS 120 Calculus and Linear Algebra 3
ADS 130 Probability and Statistics 3
BUS 130 Principles of Marketing 3
     
Free Elective Requirement (*Please refer to the Free Elective course list.)
6
 
Total Credits 38
Language Requirement (6 credits)
 
 
Code
Course Name
Credits 
ENG 211-2
English Writing I & II
6
 
   
General Education Requirement (*Please refer to the GE course list.)
6
 
Major Core Courses (15 credits)    
Code Course Name Credits
ADS 210 Digital Humanities: Theories and Methods 3
ADS 220 Python for Data Science 3
ADS 230 Introduction to Database Systems 3
ADS 240 Computer Programming as Problem Solving 3
MDIT 220 Understanding VR/AR (Unity 1 and Unreal 1) 3
     
Free Elective Requirement (*Please refer to the Free Elective course list.)
6
 
Total Credits 33
Major Core Courses (15 credits)
   
Code
Course Name
Credits 
ADS 310 Research Methods and Data Analytics 3
ADS 320 Introduction to Data Mining 3
ADS 330 Social Media Data Analytics 3
BUS 351 Data Analytics for Marketing 3
MDIT 310 Asset Creation for VR/AR 3
     
Departmental Elective Courses (Choose Two) (6 credits)  
Code Course Name Credits 
ADS 340 Big Data Ecosystem 3
ADS 360 Computational Thinking 3
ADS 370 R for Data Science 3
BUS 385 Internet of Things 3
FINT 301 Cloud and Cybersecurity 3
     
Free Elective Requirement (*Please refer to the Free Elective course list.)
6
     
Internship    
ADS 403
Professional Internship
3
     
Total Credits 30
Major Core Courses (12 credits)
   
Code
Course Name
Credits 
ADS 410 Introduction to Machine Learning 3
ADS 430 Data Science Ethics 3
ADS 480 Cloud Computing 3
MDIT 320 VR/AR Application Development 3
     
Departmental Elective Courses (Choose One) (3 credits)  
Code Course Name Credits 
ADS 450 Bioinformatics 3
ADS 460 Deep Learning 3
ADS 470 System Modeling and Optimization for Analytics 3
FINT 400 Artificial Intelligence 3
     
Free Elective Requirement (*Please refer to the Free Elective course list.)
6
     
Capstone Project    
ADS 404
Capstone Project
3
     
Total Credits 24