Bachelor of Computer Science (Hons)

Course overview

Statistics
Qualification Bachelor's Degree
Study mode Full-time
Duration 3 years
Intakes February, April, September
Tuition (Local students) $ 23,670
Tuition (Foreign students) $ 27,885

About

Our Bachelor of Computer Science program is aimed to teach students the fundamental science of computerisation and its practical applications. We offer a comprehensive program that blends scientific concepts with practical techniques to help you gain the skills and knowledge you need in the field of computer science.

This curriculum will cover a wide range of computer science topics, including algorithms, programming languages, data structures, computer networks, software engineering, artificial intelligence, and more. We strive to equip you with a firm foundation in the fundamental principles and theories of computer science, while focusing on the practical elements of implementing this knowledge in real-world circumstances.
 

Admissions

Intakes

Fees

Tuition

$ 23,670
Local students
$ 27,885
Foreign students

Estimated cost as reported by the Institution.

Application

Data not available
Local students
Data not available
Foreign students

Student Visa

Data not available
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

PREREQUISITES

SPM / O-Level with Pre-U / Foundation

Pass SPM / O-Level or equivalent with 5 credits (including Additional Mathematics) for entry with Pre-University / Foundation qualification

SPM / O-Level with Diploma

Pass SPM / O-Level or equivalent with 3 credits (including Additional Mathematics) for entry with Diploma / Pre-University qualification

Note: Candidates without a credit in Additional Mathematics at SPM level or its equivalent may be admitted if the Foundation / Diploma programme contains subjects in Mathematics that are equivalent or higher than Additional Mathematics at SPM level or its equivalent

 

ENTRY REQUIREMENTS

Foundation

Pass with min. CGPA 2.00

Diploma in Information Technology (DIT)

Pass with min. CGPA 2.50

Sijil Tinggi Persekolahan Malaysia (STPM)

Min. Grade C in at least 2 subjects

Unified Examination Certificate (UEC)

Pass with minimum 5Bs, including Mathematics or Advanced Mathematics or Adv. Mathematics 1 or 2

A Levels

Pass with min. EE

South Australian Matriculation (SAM) / SACE International

Min. ATAR 55

Canadian Pre-University (CPU)

Min. average of 50% in 6 subjects

International Baccalaureate (IB)

Min. 24 points in 6 subjects

Monash University Foundation Year (MUFY)

Overall 50%

Other Qualifications

Students with other qualifications will be considered on a case-by-case basis

 

ENGLISH REQUIREMENTS

IELTS

Band 5.0

TOEFL

34 (Internet Based Test)

MUET

Band 3

UEC English

B6

O Level

Grade C

1119 (GCE-O)

Grade C

Taylor's EET

Overall Score 5.0

Taylor's IEN

Level 2- Grade C

Pre-U / Diploma

Completed Pre-U / Diploma that was conducted in English

Curriculum

PRIMARY MAJOR

This component consists of Common Core subjects, which are common modules across a discipline that provides the fundamental knowledge of the discipline.

Common Core

  • Database Systems
  • Computer Architecture and Organisation
  • Discrete Structures
  • Object Oriented Programming
  • System Fundamentals
  • Data Structures and Algorithm
  • Human Computer Interaction
  • Operating Systems and Computer Networks
  • Software Engineering
  • Theory of Computation
  • Capstone Project (Part 1)
  • Capstone Project (Part 2)
  • Industrial Training

Specialisation

Compulsory modules

  • Understanding Entrepreneurialism
  • Machine Learning and Parallel Computing
  • Advanced Programming
  • Professional Practices and Information Security*

[Choose ONE (1) of the options:]

Option 1: Data Science (Dual Award)

  • Statistical inference and modeling
  • Data Science Principles
  • Data Mining
  • Big Data Technologies

Option 2: Cyber Security (Dual Award)

  • Computer and Network Security
  • Computer Intrusion Detection
  • Computer Crime and Digital Evidence
  • Wireless Networks and Security

Option 3: Mobile Computing (Dual Award)

  • Introduction to Mobile Computing
  • Mobile Applications Development
  • Wireless Networks and Security
  • Internet of Things

Option 4: Artificial Intelligence (Dual Award)

  • Computer Vision and Natural Language Processing
  • Data Analytics and Machine Learning
  • Cognitive Computing and Applications
  • Big Data Technologies

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