Programmes - HKU SPACE Community College
Skip to main content
Engineering & Technology Icon Engineering & Technology

Higher Diploma in Data Science

Programme Code: HD 139 3416 6338 2305 5315
QF Level: 4
QR Registration No.: 18/000862/L4
Registration Validity Period:  01/09/2019 to ongoing

Application Code 報名編號 : HD139

Programme Aims & Features

With the rise of big data, both the public and private sectors require skilled professionals to derive insights from huge data sets for them in order to make informed decisions. This programme aims to equip students with the knowledge and techniques in data analytics. Graduates of the programme will be able to use various data analytic software tools, statistical knowledge and computer programming techniques to serve corporates in different sectors including finance, retail, technology, medical, and the government department, helping them to perform data analysis and big-data system design.

Opportunities for Further Studies

2023 Overall Progression Rate: 88%
UGC-funded Bachelor’s Degree Programmes: 71%

Some of our graduates/students are admitted to UGC-funded degree programmes every year. The list below shows the programmes that our graduates/students of recent years have articulated to*:

The University of Hong Kong
BASc Social Data Science

The Hong Kong University of Science and Technology
BEng Computer Engineering
BEng Industrial Engineering & Engineering Management

City University of Hong Kong
BEng Data & Systems Engineering
BSc Data Science

The Hong Kong Polytechnic University
BSc (Hons) Data Science and Analytics

Hong Kong Baptist University
BSc (Hons) Computer Science - Computing & Software Technologies

HKU SPACE International College

Graduates are eligible to apply for admission to various degree programmes offered by HKU SPACE International College.

Career Prospects

Graduates are well-suited to apply for the positions in local, regional and international IT/Engineering and Business companies, as well as positions that are responsible for coordinating Business and IT projects. Graduates may be employed as Big Data Software Developer, Business Intelligence Analyst, Data Analyst, Data Architect, Data Warehouse Specialist, Marketing Analysis Specialist, and Programmer.

Special Entrance Requirements

In addition to the minimum entrance requirements, applicants are also required to have obtained Level 2 or above in the HKDSE Mathematics (Core), or equivalent.

*The above list is not exhaustive and only shows some of the examples.



  • Introduction to Academic English
  • English for Academic Purposes I
  • English for Academic Purposes II
  • Practical Chinese
  • Introduction to Computer Programming
  • Linear Algebra
  • Calculus

Experiential Learning Course

  • Project (Data Science)


  • Internship (Data Science)


Year 1

  • Ethics and Computing Professionalism
  • Project Management for Information Technology
  • Introduction to Data Structures and Algorithms
  • Big Data Applications and Analytics
  • Programming for Data Science
  • Statistics for Data Science I

Year 2

  • Mathematics for Computing
  • Data Mining
  • Machine Learning
  • Introduction to Database Systems
  • Introduction to Information Security
  • Data Visualization
  • Statistics for Data Science II

Courses offered in each semester are subject to student enrolment and resources available. 

Au Yeung Wai Chun Jason
  • 2022 Higher Dipolma in Data Science Year 2
  • Offer received: HKUST, BEng in Industrial Engineering and Engineering Management
  • Offer received: CityU, BEng in Computer and Data Engineering

I am truly grateful for the amazing individuals and opportunities that I encountered at HKU SPACE CC. It was an honor to be a part of such a supportive and academic community during my continuing education. The strong academic atmosphere at HKU SPACE CC provided me with an ideal environment for studying and learning. The lecturers were always willing to assist and foster my academic progress, and students were determined to achieve bachelor’s degrees and better career prospects. I was able to find supportive study partners throughout my journey at HKU SPACE CC.
The Data Science (DS) programme was a highlight of my life experience. This programme not only deepened my knowledge in data mining and data visualization, but it also kept me up to date with the latest trends in the field, particularly in the hot topic of big data. One of the reasons I chose this programme was because of its affiliation with the engineering department. It offered courses such as “Machine Learning” and “Data Structures and Algorithms”, which gave me the confidence I needed to pursue further study at the university majoring engineering and science.
Overall, my experience at HKU SPACE CC was unforgettable and I am grateful for every aspect of it. Being a part of such a “Big Family” has been an incredible experience and I am proud to have been a student at such a prestigious institution.