Background

IT114116

Higher Diploma in

Data Science and Analytics

  • Offering Campus(es)

    Type of Programme

    SV
    Subvented Programmes
    SF
    Self-financed Programmes

    Offering Campuses

    CW
    CHAI WAN
    ST
    SHATIN
    LW
    LEE WAI LEE
    TY
    TSING YI
    MH
    MORRISON HILL
    TM
    TUEN MUN

    (Planned Places)

    • cw
    • lw
    • st
    • ty
    • tm
    • mh

    Program Aims

    This programme aims to equip students with the knowledge and techniques in data science and data analytics. Graduates of the programme will be able to use data analytic software tools, statistical knowledge and programming techniques to serve corporates of different domains, such as finance, technology, medical, retail and the government, etc., helping them to discover the commercial values of data, analyse business intelligence and to develop more accurate big-data-driven decision-making systems.


    This programme is designed with an emphasis on generic and language training, whole-person development and workplace experience to better prepare students for further studies and employment after graduation.

    Duration of Study

    2 Years

    Mode of Study

    Full-time

    Career Prospects

    Graduates are employed as Data Engineer, Data Analyst, AI developer, Data Software Developer, Data Warehouse Administrator, Programmer, Business Intelligence Analyst and Market Analyst.  With sufficient experience graduates could be promoted to as Data Architect and Data Scientist.

    Entrance Requirements

    Five HKDSE subjects at Level 2 or above, including English Language and Chinese Language; OR VTC Foundation Diploma (Level 3) / Diploma of Foundation Studies; OR VTC Diploma in Vocational Education / Diploma of Vocational Education / Diploma of Vocational Baccalaureate; OR Yi Jin Diploma / Diploma Yi Jin; OR Equivalent.

     

    Remarks:

    1. An "Attained", "Attained with Distinction (I)" and "Attained with Distinction (II)" in an HKDSE Applied Learning (ApL) subject (Category B subjects) are regarded as equivalent to an HKDSE subject at "Level 2", "Level 3" and "Level 4" respectively, and a maximum of two ApL subjects (excluding ApL(C)) can be counted for admission purpose.

    2. A "Grade D or E" and a "Grade C or above" in an HKDSE Other Language subject (Category C subjects) are regarded as equivalent to an HKDSE subject at "Level 2" and "Level 3" respectively, and one Other Language subject can be counted for admission purpose.

    3. Applicable to holders of Diploma in Vocational Education / Diploma of Vocational Education (DVE) (students admitted to DVE in AY2017/18 or before are required to complete prescribed further studies modules).

    4. Upon completion of the Diploma of Vocational Baccalaureate (DVB) Programmes, students can progress to higher diploma programmes in VTC, subject to their BTEC and IGCSE results.

    Articulation

    Graduates can apply for admission to the following programmes:

    1. Local degree programmes offered by VTC's member institution:    
      • Technological and Higher Education Institute of Hong Kong (THEi)
    2. Degree programmes in local universities:
      • City University of Hong Kong
      • Hong Kong Baptist University
      • The Chinese University of Hong Kong
      • The Hong Kong Polytechnic University
      • The Hong Kong University of Science and Technology
      • The Open University of Hong Kong
      • The University of Hong Kong
    3. Articulation degree programmes in overseas universities (conducted at IVE campus):
    4. Other Universities in the UK and Australia:
      • University of Plymouth, UK

     

    For more details concerning the articulation arrangements, please visit here​​​​​​​.

    Professional Recognition

    The programme is recognised by the Hong Kong Computer Society as satisfying the academic requirements for its Associate membership.

    Notes

    Students may be required to attend classes on other VTC campuses. VTC reserves the right to cancel any programme, revise programme content or change the offering institute(s) / campus(es) / class venue(s) if circumstances so warrant.

  • Total Semester

    5
    Semester 1
    • Applied Statistics
    • Data Science and Big Data Fundamental
    • Database Principles
    • Introduction to Programming
    • Operating Systems Fundamentals
    • English and Communication : Workplace Interaction
    • Whole Person Development - Mindshift: Achieving Personal Growth & Effectiveness
    Semester 2
    • Big Data Ecosystem
    • Business Statistical Modeling
    • Network Fundamentals
    • Object Oriented Programming
    • English and Communication : Workplace Correspondence
    • Whole Person Development - Collaboration, Teamwork & Social Engagement (Part A)
    • Information Technology Essentials - Web
    Semester 3
    • Analysis with Programming Tools
    • IT Professionalism
    • English and Communication : Reports
    • Vocational Chinese Communication : Putonghua Conversation and Reports
    • Whole Person Development - Collaboration, Teamwork & Social Engagement (Part B)
    Semester 4
    • Big Data Management
    • Business Intelligence Systems
    • Data Visualization
    • Modern Database Systems
    • Final Year Project
    • Enrichment Module
    • English and Communication : Persuasive Presentations
    • Whole Person Development - Enhancing Competencies in the 21st Century Workplace
    Semester 5
    • Data Science and Machine Learning
    • Data Warehousing and Data Mining
    • Web Analytics
    • Final Year Project
    • English and Communication : Promotional Materials
    • Vocational Chinese Communication : Putonghua Presentations, Administrative and Technical Text Writing

    Note :

    Industrial Attachment will be arranged at an appropriate time during the period of study between Semester 3 - 5.

More details