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A Master Programme Combining Data Science and Artificial Intelligence!

The convergence of Artificial Intelligence (AI) and Big Data technologies is changing the way we make decisions. Disruptive changes can be seen everywhere. In this exciting Master Degree programme, students will learn to master the latest technologies in data science and machine learning and their real world applications. The programme is designed for students from a wide range of disciplines with interests in applied AI technologies.

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Download programme pamphlet

Key Features

  • AWS-Certified, Practical Focus
    Our cutting-edge curriculum, developed in collaboration with Google, IBM, and AWS, features AWS-certified core subjects, helping you master top-tier technologies and rapidly enhance your career competitiveness.

  • Top Choice for Transitioning into AI, Enter a High-Salary Industry
    We welcome students from diverse backgrounds, supporting career transitions into the AI industry. Graduates earn an average monthly salary of HK$28,000 (based on 2024 statistics), opening a stable career path for you.

  • Small Classes, High-Quality Teaching
    Each class is capped at 40 to ensure personalized guidance and an efficient learning experience, allowing every student to receive professional attention.

  • Research Opportunities, Pathway to Further Studies
    A wide range of electives, including the new Master Research Project, offers valuable opportunities to engage in research, laying a solid foundation for further studies or career advancement.

Target Students

  • People who perform big data analytics in their job duties
  • People taking part in AI or machine learning projects
  • People interested in data science and AI, and aspired to pursue a career in related areas

Important information

Modes of Study:Full time (1 year) / Part time (2 years)
Medium of Instruction:English
1st Round Application Deadline:31 March 2025

Address: Hang Shin Link, Siu Lek Yuen, Shatin, N.T., Hong Kong
Email: dsai@hsu.edu.hk    Tel: (852) 3963 5014
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