Diploma in Information Technology with specialism in Data Informatics – Asia Pacific University

Length of Study

2 years

Course Fees

Rm 41,000 (Estimated)

Location

Technology Park (TPM), Bukit Jalil, Kuala Lumpur

This programme is specifically designed to provide:

  • Provide students with skills in software systems development, with emphasis on aspects of data informatics.
  • Prepare students for careers in the ICT environments with emphasis on solutions design, software development, technology infrastructure support, data informatics application.
  • Enable appreciation of the proven principles and techniques to the developmentn and support of software systems in commercial organisations.
  • Provide students with critical, independent and cooperative learning skills so as to facilitate response to continuous future changes in industry practices.
  • Develop students’ intellectual skills, communications ability and team working capability

 

Admission required:

  • An overall credit pass in 3 subjects at SPM including credit in Mathematics and a minimum of pass in Bahasa Malaysia and Sejarah (History); or
  • An overall credit pass in 3 subjects at O-Levels/GCSE including credit in Mathematics; or
  • A qualification that APU accepts as equivalent to the above.

Diploma Course Structure:

Semester 1

At the beginning of the programme, students will acquire basic mathematical, language and communication skills along with core information technology skills. Students will gain an understanding of basic concepts and terminology related to technology and business management.

Modules

  • English for Academic Purposes
  • Numerical Skills
  • Managing Business
  • Practical IT Skills

Semester 2

The second semester builds on and extends the foundation knowledge developed in the first semester. Language and communication skills are taken to more advanced levels of research and professionalism. The ability to analyze and solve problems using quantitative skills, and familiarity with technology are enhanced.

Modules

  • Professional Communication
  • Academic Research Skills
  • Computer Technology
  • Numeric Methods & Logic

Semester 3

This semester moves students to a new level in information and communication technology related areas such as computer programming, databases, internet applications and computer system architecture. With this knowledge, students are able to use computing tools and techniques to solve common real-world problems..

Modules

  • Database Systems
  • Internet Applications
  • Computer Systems Architecture
  • Visual Basic

Semester 4

Students are exposed to more advanced development concepts, including the system development cycle. Specialisation starts here, with an introduction to data analytics that covers topics such as big data, data warehouse and data mining. Data  informatics also requires a deep appreciation of algorithmic thinking, based on calculus and algebra. Besides, usability principles in the web design and development process, and software engineering processes are introduced and developed to support the software development project in the final semester.

Modules

  • Numerical Methods
  • Operating Systems
  • System Analysis & Design

Specialised and Option Modules

  • Introduction to Data Analytics
  • Web Development
  • Introduction to Software Engineering

Semester 5

In their final semester, students acquire basic knowledge of computer networks to deepen their knowledge of computing technology. Students also design and implement algorithm using their second programming language. Two more specialised modules Behavioural Science and Marketing Analytics, and Introduction to Artificial Intelligent, will bring an insight into the techniques used in the design of software and the building of data informatics based systems. The semester completes with Software Development Project which integrates skills, knowledge and understanding from the full programme where students are expecting to include a range of data informatics techniques for problem solving.

Modules

  • Java Programming
  • Networks & Networking

Specialised and Option Modules

  • Behavioural Science and Marketing Analytics
  • Introduction to Artificial Intelligent
  • Software Development Project

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