Bachelor of Computer Science (Hons)

(R3/0613/6/0094) (11/29) (A10305)

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Key Information

Intakes

April, July, October

Programme Duration

3 years | Full-time

Mode of Study

Full-Time

Programme Level

The Bachelor of Computer Science (Hons) programme harnesses the wonders of information processing, management and communication to produce graduates capable of managing data and information, analysing and designing computer systems as well as developing software for various applications and technologies.

A major highlight of the Bachelor of Computer Science (Hons) programme is our state-of-the-art curriculum that allows students to learn different facets of the industry and hands-on techniques under the supervision of experienced academics. Students will be equipped with strong theoretical knowledge and extensive laboratory practice for the technical subjects, followed by a six-month period of intensive industrial training that will give them substantial exposure of the latest techniques, software and technologies used in the IT industry.

In their final year, students will have to go through an individual project that includes problem-solving case studies. The project is an opportunity for undergraduates to apply their knowledge and skills gained throughout their duration of study as well as to prepare them for real-world scenarios.

Knowledge, skills and passion gained through this programme will produce graduates with the requisite skills for the jobs in the fields of Information Technology, Computer Science, Computer Communications and Engineering. Students undertaking this programme will have the opportunity to embrace their passion by choosing specialisation courses (elective core) either in distributed systems, database management, security, embedded systems, software engineering, cloud computing, intelligent systems, or forensic computing.

Graduates with distinctive training in any of the aforementioned specialisations are highly sought after in the industry.

Career Opportunities 

  • Full Stack Web Developer
  • Mobile Application Developer
  • Software Engineer
  • System Architect
  • Machine Learning Engineer
  • Data Engineer
  • Network Engineer

Professional Bodies/Important Links

PROGRAMME EDUCATIONAL OBJECTIVES (PEO)

PEO1Graduates who can provide innovative computer science solutions for complex problems based on appropriate knowledge and technical skills in the discipline according to the industry requirements.
PEO2Graduates equipped with leadership capabilities, excellent interpersonal skills, and effective communication abilities to engage seamlessly with diverse stakeholders.
PEO3Graduates who are committed to lifelong learning and possessing an entrepreneurial mindset, promoting continuous self-improvement and career advancement.
PEO4Graduates who instill ethical behavior and uphold professional standards in the computing industry, ensuring integrity in their work.

PROGRAMME LEARNING OUTCOMES (PLO) 

PLO1 Knowledge and UnderstandingExplain concepts, principles and theories relating to Computer Science.
PLO2 Cognitive SkillsApply design and architecture to Computer Science solutions using appropriate tools and techniques.<
PLO3 Practical Work SkillsPerform support and development tasks on Computer Science solutions related to job functions.
PLO4 Numeracy SkillsApply appropriate numerical skills in computing related to job functions.
PLO5 Digital SkillsUse appropriate digital tools on computing related to job functions.
PLO6 Leadership, Autonomy and Responsibility<Demonstrate supervisory skills and responsibility in executing instructions related to job functions.
PLO7 Ethics and ProfessionalismCommit to professional and ethical practices in executing instructions related to the job and organisational functions.
PLO8 Interpersonal SkillsDemonstrate effective interaction with stakeholders and society in a work-related environment.
PLO9 Communication SkillsExhibit effective communication with stakeholders and society in a work-related environment.
PLO10 Entrepreneurial SkillsDemonstrate an entrepreneurial mindset in performing tasks.
PLO11 Personal SkillsCommit to principles of lifelong learning in academic and career development.

i. A Pass in Matriculation/Foundation or its equivalent with minimum CGPA 2.00 OR a Pass in STPM or its equivalent with minimum Grade C (GP 2.00) in any 2 subjects AND credit in subjects below at SPM/equivalent. Credit in Mathematics at SPM/equivalent:

  1.  Additional Mathematics; OR
  2. Mathematics and one Science, Technology and Engineering subject

 

Notes: Candidates under category i b) need to obtain a Pass in Mathematics enhancement subject first before enrolling into the relevant Computer Science core subjects that require extensive knowledge in Mathematics as a Pre-Requisite. The requirements to fulfill Mathematics enhancement subject can be exempted if the Matriculation/Foundation or its equivalent offered Mathematics subject that has the equivalent standard to obtaining a Credit in Additional Mathematics at SPM level.

OR

ii. A Pass in STPM in Science Stream with a minimum Grade C (GP 2.00) in Mathematics and one (1) Science/ICT subject;

OR

iii. Pass A-Level with a minimum pass in Mathematics and one (1) Science/ICT subject;

OR

iv. Pass United Examination Certificate (UEC) with a minimum of Grade B in five (5) subjects including Mathematics and one (1) Science/ICT subject;

OR

v. A Pass in Diploma in Computer Science OR Software Engineering OR Information Technology OR Information Systems with a minimum CGPA of 2.5;

OR

vi. A Pass in Diploma in Science and Technology with a minimum CGPA of 2.5;

OR

vii. A Pass in Diploma Kemahiran Malaysia (DKM) /Diploma Vokasional Malaysia (DVM) / Diploma Lanjutan Kemahiran Malaysia (DLKM) with CGPA 2.50;

OR

viii.  A Pass in Diploma Kemahiran Malaysia (DKM) /Diploma Vokasional Malaysia (DVM) / Diploma Lanjutan Kemahiran Malaysia (DLKM) with CGPA 2.00 and 2 years working experience in related fields;

OR

ix. Other equivalent Qualifications recognised by the Government of Malaysia

Note:
Candidates in category (v) and (vi) with CGPA lower than 2.50 but above 2.00 can be accepted subject to rigorous internal assessment.

International students: 5.0 in IELTS OR Band 3.5 in MUET OR its equivalent.

General Studies Courses
Penghayatan Etika dan Peradaban
Bahasa Melayu Komunikasi 2
Bahasa Kebangsaan A
English for Academic Purposes
Philosophy and Current Issues
Integrity and Anti-Corruption
General Interest Course
Community Service
University Courses
Digital Skills & Services
Creativity & Innovation
Entrepreneurship
Core Courses
Common Core Courses
Introduction to C Programming
Computer Organization
System Analysis and Design
Database Systems
Operating Systems
Discipline Core Courses
Information Assurance
Discrete Mathematics
Calculus and Linear Algebra
Programming in C++
Object Oriented Programming
Statistics & Probability
Introduction to Artificial Intelligence
Data Structure and Algorithm
Mobile App Development
Software Engineering
Social Issues and Professional Practices
Web Technologies
Human Computer Interaction
Discipline Core Courses
(Projects & Internship)
Final Project Phase 1
Final Project Phase 2
Industrial Training
Free Elective Courses – Choose one (1) combination only.
Principles of Marketing
Principles of Management
Organisational Behaviour
Managing Digital Business
Fundamental of Fintech
Applications of Technology in Accounting & Finance
Robo-Advisor
Field Elective Courses – Choose one (1) combination only.
Specialization in Artificial Intelligence
Computer Vision and Pattern Recognition
Introduction to Machine Learning
Big Data Analytics
Deep Learning
Data Mining and Data Warehousing
Specialization in Data Science
Big Data Analytics
Introduction to Machine Learning
Business Intelligence
Deep Learning
Data Mining and Data Warehousing
Specialization in Cyber Security
Network Security
Cryptography and Data Security
Data Recovery, Tracing and Evidence Gathering
Ethical Hacking
Computer Security

 

For enquiries on our programme fees and funding, please fill up the form below or you may contact our Student Recruitment Division representative. We offer many funding opportunities to support students. Check out our Financial Assistance Page to find out more.

Not sure about something? Need help choosing the perfect course for you? Fill up the form and we’ll be in touch!

Enquiries 2025

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Programme code: (N/0610/7/0004) (08/31)(MQA/PA17686)

Duration: 2-4 years | Full time
3-6 years | Part time

Intakes: January, April, July, October

Mode of Study: Full-Time, Part-Time

ONCE QIU,

ALWAYS QIU

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Public HolidaysWeek startWeek endAcademic Week
 18-Nov **Registration & Orientation – 18 Nov (Mon)
  19-Nov 22-NovWeek 1 – Class starts for all (19 Nov)
 25-Nov29-NovWeek 2
 2-Dec6-DecWeek 3
 9-Dec13-DecWeek 4
 16-Dec20-DecWeek 5
25-Dec Wed Christmas Day23-Dec27-DecWeek
1-Jan Wed New Year30-Dec3-JanWeek 7
 6-Jan10-JanWeek 8
 13-Jan17-JanWeek 9
 20-Jan24-JanWeek 10
29 Jan Wed Chinese New Year25-Jan31-JanMid-sem Break
 3-Feb7-FebWeek 11
11 Feb Tue Thaipusam10-Feb14-FebWeek 12
 17-Feb21-FebWeek 13
 24-Feb28-FebWeek 14
 3-Mar7-MarStudy Week
 10-Mar15-Mar Final Examination
17 Mar Mon Nuzul Al-Quran17-Mar22-Mar Final Examination
 24-Mar28-Mar Semester Break
31 Mar Mon Hari Raya Aidilfitri31-Mar4-Apr Semester Break
 7-Apr11-Apr Semester Break
 14-Apr18-Apr Semester Break

* When a public holiday falls on Sunday, the holiday is substituted with the following working Monday/ working day

**Registration and Orientation (Nov 2024 sem) – for late registration students who did not manage to go through orientation in MOOC semester

Note: The University reserves the right to amend as and when required