Diploma in Applied Artificial Intelligence - International University College of Management and Sports

Programme Overview

The Diploma in Applied Artificial Intelligence is designed to develop industry-ready AI technicians equipped with essential knowledge in programming, data handling, machine learning, cybersecurity fundamentals, and applied analytics. This programme balances theory and hands-on learning, enabling students to build, test, and implement AI-driven solutions suitable for industry environments.

The curriculum emphasises practical skills through labs, simulations, real datasets, project work, and industrial training. With strong coverage of computing fundamentals and AI specialisation, students graduate with competencies aligned with NEC 0611 (Information Technology & Information System) and current industry demands.

Study Method

On-campus

Intakes

January, March and August

Study Mode

Full Time & Part Time (Semester + Modular)

Duration

Full-time - Min 3 years 6 months Max 5 years
Part-Time - Min 4 years 6 months Max 6 years

Teaching & Learning of Diploma in Applied Artificial Intelligence

Lecture

Tutorial

Discussion & Presentation

Case Study

Group Works

Community Project

Lab Practical

Who should join?

SPM graduates interested in computing, programming, and AI technologies.
Students who enjoy hands-on practical learning, problem solving, and structured technical tasks.
Learners who wish to enter AI and data-related careers at a junior/technical level.
Working adults seeking part-time or modular upskilling in AI fields.

Unique Features of the Programme

Strong curriculum emphasis on AI, Machine Learning, Data Analytics (25 credits in specialisation).
Includes Final Year Project and Industrial Training to build real-world experience.
Offers multiple study modes: full-time, part-time, and modular — highly flexible.
Teaching and learning methods include projects, simulations, blended learning, practical labs, and online components.
Clear PEO–PLO structure aligned with MQF 2nd Edition and Programme Standards (Computing).
Entry pathways for SPM, STPM, STAM, SKM, MQF L3 and equivalent — accessible and inclusive.

Research Focus Areas

Although this is a diploma (not research-intensive), the programme exposes learners to core applied AI domains:

Applied Machine Learning
Data Analytics & Visualisation
Business & Decision Intelligence
Cybersecurity Fundamentals
System Analysis & Design
Probability & Statistics for AI
Applied Programming (Python, SQL)

These areas support Final Year Projects and AI prototyping at diploma level.

Admission Requirements

Minimum entry routes:

SPM with at least 3 credits (including Mathematics); OR
STPM – Grade C (GP 2.00) in one subject + SPM Mathematics credit; OR
STAM – Maqbul + SPM Mathematics credit; OR
SKM Level 3 (with reinforcement Mathematics if no SPM Mathematics); OR
Certificate (MQF Level 3) in a related field with CGPA ≥ 2.00; OR
Other equivalent qualifications recognised by the Malaysian Government.

Additional rules:

Students without SPM Mathematics must take and pass Reinforcement Mathematics in Semester 1.
Students with computing subjects at SPM may receive preferential consideration.

English requirement (international students):

MUET Band 3 or equivalent to CEFR Mid-B1.
Or HEP must offer English proficiency courses to ensure that the student’s proficiency is sufficient to meet the needs of the programme

Supervision & Support

Research workshops / proposal support