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Asia Pacific University of Technology & Innovation
- Location: Technology Park Malaysia Bukit, Kuala Lumpur
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- Type: Private Institution
- Courses: 76
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Bsc hons in computer science with a specialism in data analytics Fees Structure, Admission, Intake, Deadline
Course Intake
Overview of Bsc hons in computer science with a specialism in data analytics in Asia Pacific University of Technology & Innovation Malaysia
This programme is specifically designed to provide students with:
- The ability to develop technical knowledge, skills and background in the design and organisation of computer systems with an emphasis on data analytics.
- The ability to critically evaluate design paradigms, languages, algorithms, and techniques used to develop complex software systems.
- The ability to evaluate and respond to opportunities for developing and exploiting new technologies with data analytics concepts and tools.
PROGRAMME STRUCTURE
DEGREE LEVEL 1 |
Students will learn fundamental skills required by every IT professional, and the basic understanding of programming, mathematical and algorithmic skills. Some specialised modules will provide them basic knowledge of underlying computer systems such as computer architecture, operating systems, networking and databases. The modules will also help them develop personal and organisational skills, as well as nurture creativity and innovation.
Common Modules |
Specialised Modules |
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DEGREE LEVEL 2 |
A broader range of skills will be learnt, in which students will gain better understanding of designing and implementing new software, and solving new computing problems through theoretical and algorithmnic foundations. They will gain solid understanding of platform technology and data analytics through modules in application development and knowledge discovery techniques. We will further nurture their creativity and innovation as well as independent learning to prepare them for the workplace.
Common Modules |
Specialised Modules |
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INTERNSHIP (16 weeks) |
Students will undertake an Internship/Industrial Training for a minimum period of 16 weeks to prepare them for a smooth transition from the classroom to the working environment.
DEGREE LEVEL 3 |
Students will make use of their previous studies and industrial experience to extend their familiarity in the field of computer science and to refine their personal and professional development. Students will move further into the focus on advanced analytics through business analytics and intelligence modules. A final year project requires them to investigate and develop a solution for a real-world problem – they will demonstrate their ability to combine technical knowledge, critical thinking and analytical skills to produce a personal achievement portfolio.
Common Modules |
Specialised and Option Modules |
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Note: The specialism will appear only in the academic transcript.
MQA Compulsory Subjects* |
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- ENTRY REQUIREMENTS
Programmes | General Requirements |
DIRECT ENTRY TO LEVEL 1 OF THE DEGREE: | |
STPM |
• 2 Passes in STPM in Science stream with minimum Grade C (GPA 2.0) in Mathematics and one Science or ICT Subject. |
A-LEVEL Overseas |
• 2 Passes in A-Level in Science stream with a Pass in Mathematics and one Science or ICT subject. |
UEC |
• 5 Grade B Passes in UEC in any subject including Mathematics and one Science or ICT subject. |
FOUNDATION/ |
• A pass in Matriculation or Foundation studies with minimum CGPA of 2.0 with a Credit in Additional Mathematics at SPM/ IGCSE/ O-Level or its equivalent. |
DIRECT ENTRY TO LEVEL 2 OF THE DEGREE: | |
ICT RELATED DIPLOMAS |
• Diploma with a minimum CGPA of 2.50. |
ENGLISH LANGUAGE REQUIREMENTS
• IELTS : 5.0
• TOEFL IBT : 35-45
• Pearson (PTE) : 36
• MUET : Band 3

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