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Diploma in Information & Communication Technology with a specialization in Data Informatics

Diploma in Information & Communication Technology with a specialization in Data Informatics

Asia Pacific University of Technology & Innovation (APU)

Duration

2½ years

Intake

July, September, and November

Degree

Diploma

Program Overview

Data informatics in Malaysia is a rapidly growing interdisciplinary field that is crucial for transforming raw data into actionable insights across various sectors. While a standalone "Foundation Programme" exclusively titled "Data Informatics" isn't common, its core concepts are deeply embedded within broader "Foundation in Computing & Technology" or "Foundation in Information Technology" programs.

These foundation routes in Malaysia equip students with essential skills for a data-driven world. The curriculum typically covers programming (e.g., Python), database management, data visualization, and statistical analysis. Strong emphasis is placed on mathematical foundations, academic English, and critical thinking.

Upon completing such a foundation, students can progress to specialized bachelor's degrees in data science, business analytics, or computer science with data analytics specializations. Malaysian universities, some recognized as Premier Digital Tech Institutions, offer practical, industry-aligned education, leveraging MQA accreditation and sometimes dual degree options with international partners. This ensures graduates are well-prepared for the increasing demand for data professionals in Malaysia's digital economy.
 

Key Information

University

Asia Pacific University of Technology & Innovation (APU)

Campus

Kuala Lumpur

Total Credits

Study Mode

Full-time

Loan Availability

No

Program Details

Duration

2½ years

Tuition Fee:

Format

Full-time

Attendance:

On Campus Learning

Study Gap:

3 years

Fees & Funding:

Full tuition fee: (USD12,235) Total for International

Course Structure

Common Core

Semester 1

Academic Research Skills
Computer Architecture
Digital Thinking and Innovation
Mathematics and Statistics for Computing

Semester 2

Operating Systems
Database Management
Information Systems with Cloud Concepts
Programming with Python

Semester 3

Object-Oriented Programming
Algebra and Discrete Mathematics
System Analysis & Design
Introduction to Data Analytics

Semester 4

Responsive Web Design & Development
Behavioural Science and Marketing Analytics
Fundamentals of Entrepreneurship
Exploratory Data Analytics and Visualisation

Semester 5

Cyber Security & Forensics
Introduction to AI
Networking Technologies
Capstone Project

Semester 6 Internship (12 weeks)
Students will undertake an internship/industrial training for a minimum period of 12 weeks to prepare them for a smooth transition from the classroom to the working environment.
 

Entry Requirement

Academic

Language

IELTS - 4.5

TOEFL - 33

PTE - 43

Others - MUET: Band 3

How To Apply

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