Course Information
- Mar 2026
(Financial Assistance Scheme
Vplus Creative Industries
As a part of the Vplus Subsidy Scheme, Vplus Creative Industries is supported by the HKSAR Government to encourage working adults to pursue higher qualifications for career advancement and to promote lifelong learning.
Successful applicants can be reimbursed 60% of the tuition fees paid for the programme, maximum HK$36,000 per person. Applicants may apply for reimbursement for more than one eligible programmes.
Original tuition fee: $28,800
Tuition fee after funding: $11,520
)
Course Overview
Programme Class
Please contact 2835 7403 | Hong Kong Institute of Information Technology (HKIIT) for the details of class commencement date
Programme Details
Professional Diploma in Data Science and Predictive Analytics is an intensive program equips you with the conceptual knowledge and practical skills needed in statistics, data science, data analytics, and programming. You will learn the skills to handle data from various internal and external sources, applying data modeling algorithms to derive valuable insights and visualize results effectively. With a strong foundation in machine learning and artificial intelligence, you can apply these skills to diverse problem domains. Through the integration of data science knowledge and programming techniques, you will be proficient in designing and implementing predictive data analytic solutions for a range of problem domains. Join us on this transformative journey and excel in the ever-evolving field of data science and predictive analytics.
Tentative Schedule
March 2026 (Sat)
- Time: 10:00-13:00 & 14:00-17:00
The normal duration for completion of the programme is around 6 months.
Entry Requirements
- Five HKDSE subjects at Level 2 or above, including English and Chinese Languages, plus at least one year of relevant work experience; or
- Five HKCEE subjects at Grade E/Level 2 or above, including English and Chinese Languages, plus at least two years of relevant work experience; or
- Completion of a QF Level 3 programme that is deemed acceptable to the respective Programme Board plus at least one year of relevant work experience; or
- Relevant RPL qualification(s) at QF Level 3 or above plus at least one year of relevant work experience AND a pass in an entrance assessment, which can be either oral or written; or
- At least two years of relevant work experience plus other relevant verifiable prior learning that are deemed appropriate by respective Programme Board AND a pass in an entrance assessment, which can be either oral or written; or
- 21 years old or above with at least two years’ relevant working experience, may be admitted. Where appropriate, the applicant may be required to pass an entrance assessment, which can be in an oral and/or written form.
What You’ll Learn
Course Content
- Data Science Fundamentals (24 hours)
- Machine Learning Applications in Data Science (24 hours)
- Deep Learning with TensorFlow (24 hours)
- Data Analytics and Visualization (24 hours)
- Data Mining with R (24 hours)
- AI for Predictive Analytics (24 hours)
Content cover:
Python, TensorFlow, R, Tableau, web scrapping, Data Mining, Data Visualization, Data Analysis, AI development