This diploma is designed for students who want to build practical skills in data analytics, software development, information systems, cloud computing, and data-driven technologies before progressing to a bachelor's degree or entering the ICT industry.

Key Benefits

• Strong emphasis on Data Informatics and data-driven software development.
• Industry-oriented curriculum combining computing fundamentals with modern data technologies.
• Practical learning through laboratories, programming exercises, and projects.
• Exposure to cloud computing, cybersecurity, and data visualisation.
• Industrial internship for real-world experience.
• Direct progression pathway to Year 2 of selected APU bachelor's degree programmes (subject to CGPA requirements).
• Modern digital laboratories and experienced academic staff.
• Excellent preparation for careers in the growing fields of data analytics and information technology.

Programme Structure / Subjects

The programme is delivered across six semesters, combining computing fundamentals with specialised data informatics modules.

Semester 1

Students develop foundational computing and analytical skills through:

• Information Systems
• Internet Applications
• Computer Architecture
• Mathematics and Statistics for Computing

Semester 2

Core ICT knowledge includes:

• System Analysis and Design
• Programming with Python
• Operating Systems

Semester 3

Students continue developing practical computing and software skills through intermediate ICT and programming modules.

Semester 4

Focus areas include:

• Introduction to Data Analytics
• Responsive Web Design and Development
• Algebra and Discrete Mathematics
• Fundamentals of Entrepreneurship

Semester 5

Advanced subjects include:

• Cloud Computing Principles
• Cyber Security and Forensics
• Elective (Choose One):
  • Exploratory Data Analytics and Visualisation
  • Introduction to Artificial Intelligence (AI)

Semester 6

• Industrial Internship / Practical Training
• Capstone or applied industry-based learning activities

Disciplines / Specialisation Areas

Students gain knowledge and practical skills in:

• Data Informatics
• Data Analytics
• Information Systems
• Software Development
• Python Programming
• Web Development
• Cloud Computing
• Cybersecurity
• Computer Architecture
• Operating Systems
• Systems Analysis & Design
• Database Technologies
• Artificial Intelligence (Introductory)
• Data Visualisation
• Technology Infrastructure Support

Programme Highlights

• Ranked among the Top 2% of Universities Worldwide.
• Recognised as Malaysia's Premier Digital Tech University.
• Strong focus on Data Informatics and data-driven technologies.
• Practical, project-based learning with modern computing laboratories.
• Exposure to Python programming, cloud computing, cybersecurity, AI, and data analytics.
• Industrial internship for workplace experience.
• Clear progression pathway into Year 2 of selected APU bachelor's programmes.
• Multicultural campus with students from over 130 countries.
• High graduate employability supported by strong industry partnerships. 

Career Outcomes

Graduates are prepared for entry-level roles such as:

• Data Analytics Assistant
• Junior Data Analyst
• Information Systems Support Executive
• IT Support Technician
• Database Support Assistant
• Software Support Executive
• Junior Web Developer
• Technical Support Executive
• Systems Support Officer
• ICT Assistant
• Cloud Support Assistant
• Business Intelligence Support Assistant

Visa Requirements (International Students)

International students must obtain a Malaysian Student Pass (Student Visa) before beginning their studies.

Typical requirements include:

• Valid passport
• Official APU Offer Letter
• Acceptance of admission
• Academic certificates and transcripts
• English language proficiency documents (if applicable)
• Passport-sized photographs
• Medical examination and Education Malaysia Global Services (EMGS) health screening
• Proof of sufficient financial support
• Student Pass application processed through APU's International Student Office

Latest Updates (2026)

• The programme remains MQA-accredited (R3/0611/4/0041) with accreditation valid until July 2030.
• The curriculum includes specialised training in Data Analytics, Cloud Computing, Cyber Security, Artificial Intelligence, and Data Visualisation.
• Students achieving a minimum CGPA of 2.5 may progress directly to Level 2 of selected APU bachelor's degree programmes through credit transfer.
• The latest published intakes are 24 September 2026 and 20 November 2026, with international applicants encouraged to apply well in advance for Student Pass processing.