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Bachelor of Science (Hons) in Computer Science with a specialism in Digital Forensics

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APU University Malaysia

Bachelor of Science (Hons) in Computer Science with a specialism in Digital Forensics

university icon
APU University Malaysia

Bachelor of Science (Hons) in Computer Science with a specialism in Digital Forensics

Qualification
Bachelor's Degree
Duration
3 years
Intake
MarMarJulJulSepSep
English Requirement
IELTS 5.0
Offer Letter
Free
Class Type
Physical
Course Fee for International Students
First year from MYR 32,000 excludes 6% SST & other fees
Estimated total tuition from ~MYR 99,500 3 years programme
Published fees don't include possible scholarships and YourUni discounts — most students pay less than the sticker price.

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APU University Malaysia ?

Embark on a transformative journey with APU University Malaysia Bachelor's (Hons)in Computer Science with a specialism in Digital Forensics program. Explore a myriad of invaluable insights and skills, detailed below:

What you will learn in a glance?

In the first year, students will learn fundamental skills required by IT professionals. They will develop a basic understanding of programming, mathematical techniques, and algorithmic thinking. These skills serve as important prerequisites for their second and third-year studies. Additionally, students will gain knowledge in computer architecture, operating systems, networks, databases, security, and forensic technologies, which form the foundation of digital forensics investigation. Introduction to management will provide an understanding of personal and organizational development, along with independent learning and teamwork skills. By the end of this level, students will have a solid grasp of programming, mathematics, algorithmic thinking, computer systems, and the basics of digital forensics investigation.

Moving into the second year, students will acquire a broader range of skills in computer science. They will be involved in designing and implementing software, exploring innovative ways to utilize computers, and developing effective solutions to computing problems. This level covers theoretical and algorithmic foundations, as well as cutting-edge developments in various areas of computing. Successful professionals in computer science possess flexibility in performing a range of computing tasks and apply theories and practices across different domains. In the second year, core modules will enhance development skills and deepen understanding of platform technology. Specialized modules will allow students to delve further into advanced forensic methods, ethical hacking, and incident response. By the end of this level, students will have advanced skills in software development, platform technology, and specialized knowledge in digital forensics methods, ethical hacking, and incident response.

During the 16-week internship or industrial training, students will have the opportunity to apply their knowledge and skills in a real-world working environment. This practical experience will facilitate a smooth transition from the classroom to the professional world, allowing students to develop the necessary competencies and gain valuable industry insights.

In the third year, builds upon the foundation of previous studies and industrial experience. Students will further extend their familiarity with computer science and refine their personal and professional development. This level focuses on advanced programming techniques, algorithms, and the evaluation of applications at the forefront of current technology. Specialized modules enable students to expand their capabilities in digital forensics, incident response, and advanced cybersecurity, including topics such as penetration testing, mobile forensics, deep learning for intrusion detection, and legal and professional practice in the cyber world. The final year project will require students to investigate and develop a solution for a real-world problem, showcasing their ability to combine technical knowledge, critical thinking, and analytical skills. This project will result in the creation of a personal achievement portfolio. By the end of this level, students will have advanced expertise in programming, algorithms, evaluation of cutting-edge applications, and specialized knowledge in digital forensics and cybersecurity.

Dual Degrees from APU and DMU United Kindom

Students who joined Bachelor (Hons) in Computer Science with a specialism in Digital Forensics  at APU University Malaysia will have the option to apply for the APU-DMU Dual Degree Scheme. Under this Scheme, students will be able to get 2 Degree Certificates & Transcripts upon graduation: 1 from Asia Pacific University (APU), Malaysia, and 1 from De Montfort University (DMU), UK. please note this is optional and costs GBP 375 Per year. For more information about this Scheme (Click here)

Year 1

COMMON MODULES

  • Digital Thinking and Innovation
  • Intercultural Awareness and Cultural Diversity
  • System Analysis & Design
  • Python Programming 
  • Mathematical Concepts for Computing
  • Operating Systems & Computer Architecture
  • Introduction to Networking
  • Introduction to Databases
  • Introduction to C Programming
  • Fundamental of Entrepreneurship

SPECIALISED MODULES

  • Introduction to Security and Forensic Technologies

Year 2

COMMON MODULES

  • Programming for Data Analysis
  • Innovation Process
  • System Development Methods
  • Object Oriented Development with Java
  • Data Structures
  • Research Methods For Computing & Technology 

SPECIALISED MODULES

  • System & Network Administration
  • Computing Theory
  • Computer Systems & Low Level Techniques
  • Advanced Forensic Methods
  • Ethical Hacking & Incident Response
  • Practical CTF Strategies

Year 3

COMMON MODULES

  • Project Management
  • Emergent Technology
  • Venture Building

SPECIALISED MODULES

  • Algorithmics
  • Advanced Cyber Security
  • Penetration Testing
  • Mobile Forensics
  • Deep Learning for Intrusion Detection
  • Legal & Professional Practice in Cyber World
  • Investigations in Digital Forensics
  • Project in Digital Forensics
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