BSc (Hons) in Computer Science with a Specialism in Digital Forensics
Course overview
Qualification | Bachelor's Degree |
Study mode | Full-time |
Duration | 3 years |
Intakes | March, July, September, November |
Tuition (Local students) | $ 22,369 |
Tuition (Foreign students) | $ 24,559 |
About
APU's Bachelor of Science (Honours) in Computer Science with a Specialism in Digital Forensics degree is designed to give you an advantage in the latest technologies associated with the Fourth Industrial Revolution.
This program is made to help students:
1. Learn about computer systems and digital forensics.
2. Analyze different design methods and tools used in digital forensics.
3. Recognize opportunities to use new technologies in digital forensics.
Admissions
Intakes
Fees
Tuition
- $ 22,369
- Local students
- $ 24,559
- Foreign students
Estimated cost as reported by the Institution.
Application
- $ 33
- Local students
- $ 157
- Foreign students
Student Visa
- $ 539
- 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 |
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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. |
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A-LEVEL |
• 2 Passes in A-Level in Science stream with a Pass in Mathematics and one Science or ICT subject. |
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UEC |
• 5 Grade B Passes in UEC in any subject including Mathematics and one Science or ICT subject. |
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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.
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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.
Any qualification that APU accepts as equivalent to the above.
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
- Introduction to Networking
- Systems Software and Computing Concepts
- Introduction to Databases
- Python Programming
- Systems Analysis and Design
- Integrated Computer Systems
- Fundamental of Entrepreneurship
Specialised Module(s)
- Digital Thinking and Innovation
- Mathematical Concepts for Computing
- Introduction to Artificial Intelligence
- Introduction to Security and Forensic Technology
YEAR 2
Common Modules
- Innovation Process
- Research Methods For Computing & Technology
Specialised Modules
- Systems and Network Administration
- System Development Methods
- Object Oriented Development with Java
- Web Applications
- Concurrent Programming
- Computer Systems Low Level Technique
- Data Structures
Advanced Forensics Methods - Practical CTF Strategies
- Ethical Hacking & Incident Response
YAER 3
Common Modules
- Venture Building
- Project Management
Specialised Modules
- Investigations in Digital Forensics
- Algorithmics
- User Experience
- Advanced Database Systems
- Penetration Testing
- Deep Learning for Intrusion Detection
- Advanced Cyber Security
- Legal & Professional Practice in the Cyber World
- Project in Digital Forensics