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BSc (Hons) in Computer Science with a specialism in Data Analytics
Course overview
| Qualification | Bachelor's Degree |
| Study mode | Full-time |
| Duration | 3 years |
| Intakes | March, July, September |
| Tuition (Local students) | $ 22,660 |
| Tuition (Foreign students) | $ 23,192 |
Subjects
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Computer Science, IT
-
Information Tech (IT)
About
APU's Bachelor of Science (Honours) in Computer Science with a specialty in Data Analytics degree is designed to give you an advantage in the latest technologies aligned with the Industrial Revolution 4.0. This course provides an opportunity for students to be familiar with a broad range of information technologies and how they are used. It also aims to ensure that students
- Have the ability to develop technical knowledge, skills, and background in the design and organisation of computer systems with an emphasis on data analytics.
- The skill to assess design approaches, programming languages, algorithms, and methods applied in the creation of complex software systems.
The ability to identify and take advantage of opportunities for advancing and utilizing new technologies through data analytics concepts and tools.
Admissions
Intakes
Fees
Tuition
- $ 22,660
- Local students
- $ 23,192
- Foreign students
Estimated cost as reported by the Institution.
Application
- $ 33
- Local students
- $ 155
- Foreign students
Student Visa
- $ 532
- Foreign students
Every effort has been made to ensure that information contained in this website is correct. Changes to any aspects of the programmes may be made from time to time due to unforeseeable circumstances beyond our control and the Institution and EasyUni reserve the right to make amendments to any information contained in this website without prior notice. The Institution and EasyUni accept no liability for any loss or damage arising from any use or misuse of or reliance on any information contained in this website.
Entry Requirements
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 |
• 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. Note: The requirement for the Additional Mathematics can be exempted if the Matriculation or Foundation offers Mathematics module which is equivalent or higher requirement than the Additional Mathematics at SPM level.
|
| DIRECT ENTRY TO LEVEL 2 OF THE DEGREE: | |
| ICT RELATED DIPLOMAS |
• Diploma with a minimum CGPA of 2.50. Note: Student with CGPA above 2.0 and below 2.5 may be accepted using rigorous assessment conducted by APU and subject to the approval of the Academic Board. |
Note:Students who do not have a Credit in Additional Mathematics in SPM/O-Level/IGCSE but have an acceptable achievement in Mathematics related subjects during the Foundation which may be equivalent to SPM/O-Level/IGCSE Additional Mathematics, can be accepted into Degree Programmes. Students can be given preferential entry for ICT related subject in SPM/O-Level/ IGCSE.
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).
ENGLISH REQUIREMENTS |
|
|
INTERNATIONAL STUDENTS |
• IELTS : 5.0 |
Curriculum
Year 1 Common Modules
- Systems Analysis & Design
- Systems Software & Computing Concepts
- Integrated Computer Systems
- Introduction to Networking
- Introduction to Databases
- Python Programming
- Fundamentals of Entrepreneurship
Specialised modules:
- Introduction to C Programming
- Introduction to Artificial Intelligence
- Digital Thinking and Innovation
- Mathematical Concepts for Computing
Year 2 Common Modules
- Object-Oriented Development with Java
- System Development Methods
- Web Applications
- System Development Methods
- Concurrent Programming
- Computer Systems Low Level Technique
- Data Structures
- Probability and Statistical Modelling
- Data Management
- Data Mining and Predictive Modelling
Internship (16 weeks)
After the completion of Level 2 students will undertake a short Internship / Industrial Training. This will prepare them for a smooth transition from the classroom to the professional world of Computer Science.
Year 3 Common Modules
- Venture Building
- Project Management
Specialised modules:
- Algorithmics
- Text Analytics & Sentiment Analysis
- Behavioural Science and Marketing Analytics
- Database Security
- Optimization & Deep Learning
- Computer Systems Low Level Technique
- Behavioural Science and Marketing Analytics
- Database Security
- Project in Data Analytics
MQA COMPULSORY SUBJECTS
- Appreciation of Ethics and Civilisation (M’sian Students)
- Malay Communication Language (Int’l Students)
- Philosophy and Current Issues
- Workplace Professional Skills
- Integrity and Anti-corruption
- Co-Curriculum