No course found by given course ID

Professional Certificate in Machine Learning and Predictive Analytics

Hong Kong Institute of Information Technology (HKIIT)

Overview

Programme Code

IT524117P

Subject Area

Information Technology

Programme Type

Professional Certificate

Offering Institution

Hong Kong Institute of Information Technology (HKIIT)

Contact Hours

Duration

72 Hour(s)

QF Level

QF Credits

QF Registration No.

24/000211/L4

QF Registration Validity Period

2024.02.01-2026.08.31

Programme Class [ IT524117P-8 ] Apply Online

Programme Fee

HKD$14,400.00

Class Code	Commencement Date	Class Location	Medium of Instruction	Apply Online	Class Remarks	Class Status
IT524117P-8	2026.06.06	Hong Kong Institute of Information Technology Hong Kong Institute of Information Technology	Cantonese supplemented with English

Programme Details

The Professional Certificate in Machine Learning and Predictive Analytics is a comprehensive program that equips learners with theoretical foundations and hands-on expertise in machine learning, artificial intelligence, and predictive modeling - including cutting-edge generative AI techniques such as large language models - enabling you to design, train, and deploy sophisticated data-driven solutions across diverse domains, harness insights from complex datasets, and drive innovation through intelligent, automated decision-making systems in an increasingly AI-powered world.

Course Content

Data Science Fundamental (24 hours)
Data Visualization and Analytics (24 hours)
Data Mining with R (24 hours)

This module is part of the Professional Diploma in Data Science and Predictive Analytics (Programme Code: IT524115P).

Content cover:

Python, TensorFlow, Ollama, langChain, unsloth, scikitlearn

Tentative Schedule

6 June to 22 August 2026 (Sat)

- Time: 10:00-13:00 & 14:00-17:00

The normal duration for completion of the programme is around 3 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.

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: $14,400

Tuition fee after funding: $5,760

More Details

Enrollment Method

Application deadline: 22 February 2026 (Sun)

Please press 'Apply Online' button above

Notes

⦁ Applicants who fulfil the entry requirements will receive a payment notice later. Applications are not required to pay the tuition at this moment.

⦁ In general, course enrollment is made on a first-come-first-served basis.

⦁ Subject to the availability of the classes, applicants will be informed to change to another class if the applied class was full.

⦁ Any change in class selection will be put on the waiting list.

Enquiry Channels