Why choose APU?
Dual Degree
APU-DMU Dual Degree Programme
Admission Requirements
- 3 Credits in at least 3 subjects at SPM level including Mathematics#, with a minimum of a pass in Bahasa Malaysia and Sejarah (History);
- 3 Credits (Grade C & above) in at least 3 subjects at IGCSE/O-LEVELS including Mathematics#;
- 3 Credits (Grade B & above) in at least 3 subjects in UEC including Mathematics#;
- Pass relevant Certificate Programme or its equivalent;
Any qualification that APU accepts as equivalent to the above.
Note: The above entry requirements may differ for specific programmes based on the latest programme standards published by Malaysian Qualifications Agency (MQA). The qualification and entry requirements for the programmes will be determined based on the “Comparison List of Equivalency of International Qualifications with SPM (O-Levels equivalent) and STPM (A-Levels equivalent)” published by Malaysian Qualifications Agency (MQA).
- IELTS : 4.5
- TOEFL IBT : 33
- Pearson (PTE) : 43
- MUET : Band 3
Programme Outline
What We Teach
This APU Diploma in Information & Communication Technology with a specialism in Data Informatics is 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 development 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.
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Semester 1
At the beginning of the programme students will foster a mindset that embraces creativity and problem-solving in the digital era along with the skills in navigating scholarly information and the fundamental principles governing computer design.
Modules
- Academic Research Skills
- Computer Architecture
- Digital Thinking and Innovation
- Mathematics and Statistics for Computing
Semester 2
This semester moves students to a new level in information and communication technology related areas such as operating systems, computer programming and databases. Students are able to gain hands-on experience and building practical applications. Mathematical foundation for computing is available to enhance problem solving and analytical skills.
Modules
- Operating Systems
- Database Management
- Information Systems with Cloud Concepts
- Programming with Python
Semester 3
This semester promises a holistic blend of programming expertise, mathematical acumen, system analysis skills, and the art of crafting compelling user experiences. Specialisation starts here, with an introduction to data analytics that covers topics such as big data, data warehouse and data mining.
Modules
- Object Oriented Programming
- Algebra and Discrete Mathematics
- System Analysis & Design
- Introduction to Data Analytics
Semester 4
This semester offers a comprehensive blend of web design, behavioural science, entrepreneurial skills, and data analytics. Students to explore the intricacies of consumer behaviour and marketing analytics. Students to explore the intricacies of consumer behaviour and marketing analytics, leveraging data for effective strategies. Cultivate an entrepreneurial mindset, navigating the business landscape with creativity and strategic thinking. Additionally, master the art of exploratory data analytics and visualization, unlocking the power of data through analytical exploration and visual representation.
Modules
- Responsive Web Design & Development
- Behavioural Science and Marketing Analytics
- Fundamentals of Entrepreneurship
- Exploratory Data Analytics and Visualisation
Semester 5
In their final semester, students design and implement algorithm using their second programming language. Two more specialised modules Behavioural Science and Marketing Analytics, and Introduction to Artificial Intelligence, 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
- 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.
*In addition to the above, all students are also required to successfully complete General Studies modules as stipulated by the Malaysian Qualification Agency, as well as fulfill credit requirements for Co-curricular activities.
Further Studies
Upon successful completion of this programme with CGPA of 2.5 & above and fulfilment of requirements for credit transfer, you will be eligible to progress into Level 2 of the following degree programmes offered at APU.
- Bachelor of Science (Honours) in Information Technology
- Bachelor of Science (Honours) in Information Technology with a specialism in:
- Information System Security
- Cloud Engineering
- Internet of Things (IoT)*
- Digital Transformation
- Financial Technology (FinTech)
- Business Information Systems
- Sustainable Computing
- Bachelor of Science (Hons) in Software Engineering
- Bachelor of Science (Honours) Computer Science (Cyber Security)
- Bachelor of Computer Science (Hons) (Artificial Intelligence)
- Bachelor of Science (Honours) in Computer Science
- Bachelor of Science (Honours) Computer Science with a specialism in:
- Data Analytics
- Digital Forensics
* Please take note that Bridging module(s) needed before progress into Level 2
