(R3/0613/6/0094) (11/29) (A10305)
April, July, October
3 years | Full-time
Full-Time
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
Professional Bodies/Important Links
PROGRAMME EDUCATIONAL OBJECTIVES (PEO)
| PEO1 | Computer scientists who are able to provide innovative computing solutions for complex and non-routine problems using appropriate knowledge and technical skills in computer science, aligned with industry needs and global technological developments. |
| PEO2 | Computer scientists who demonstrate leadership, teamwork, and effective interpersonal and communication skills to collaborate with industry, community, and global stakeholders. |
| PEO3 | Computer scientists who engage in lifelong learning, research, and innovation, and possess an entrepreneurial mindset for career advancement and contribution to the knowledge economy. |
| PEO4 | Computer scientists who uphold ethical conduct, professional practices, and integrity, and contribute responsibly to society and sustainable technological development. |
PROGRAMME LEARNING OUTCOMES (PLO)
| PLO1 Knowledge and Understanding (Cognitive Domain) | Analyse concepts, principles and theories relating to computer science and emerging technologies to support research-informed and industry-relevant computing practices. |
| PLO2 Cognitive Skills (Cognitive Domain) | Apply appropriate algorithms and techniques to develop efficient and industry-relevant computing solutions. |
| PLO3 Practical Skills (Psychomotor Domain) | Construct computing solutions using appropriate algorithms and techniques for complex and non-routine problems in real-world and interdisciplinary contexts. |
| PLO4 Numeracy Skills (Cognitive Domain) | Apply numeracy skills for analytical problem-solving and data-driven decision-making in the field of study. |
| PLO5 Digital Skills (Psychomotor Domain) | Utilise digital skills and modern computing tools for problem-solving and innovation in the field of study. |
| PLO6 Leadership, Autonomy and Responsibility (Affective Domain) | Demonstrate teamwork, accountability, autonomy, leadership and responsibility in collaboratively delivering computing solutions for industry, research and community needs. |
| PLO7 Ethics and Professionalism (Affective Domain) | Uphold professional and ethical practices in the work environment in accordance with professional standards, integrity and societal responsibilities. |
| PLO8 Interpersonal Skills (Affective Domain) | Demonstrate effective interaction with diverse stakeholders including industry, community and global partners. |
| PLO9 Communication Skills (Affective Domain) | Exhibit effective communication with diverse stakeholders in professional, technical and interdisciplinary environments. |
| PLO10 Entrepreneurial Skills (Affective Domain) | Apply an entrepreneurial mindset and technopreneurial thinking in delivering innovative computing solutions. |
| PLO11 Personal Skills (Affective Domain) | Exhibit capabilities to extend relevant knowledge through lifelong learning, continuous professional development and engagement with emerging technologies. |
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:
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/ | 2 | |
| Bahasa Melayu Komunikasi 2 | |||
| Philosophy and Current Issues | 2 | ||
| Bahasa Kebangsaan (A)/ | 2 | ||
| English for Academic Purposes | |||
| Integrity and Anti-Corruption | 2 | ||
| Community Service | 2 | ||
| TOTAL CREDIT HOURS | 10 | ||
| University Courses | Digital Skills and Services | 2 | |
| Creativity and Innovation | 3 | ||
| Entrepreneurship | 3 | ||
| General Interest Course | 3 | ||
| TOTAL CREDIT HOURS | 11 | ||
| Core Courses | Common Core Courses | Principles of Programming | 4 |
| Computer Organization | 3 | ||
| System Analysis and Design | 3 | ||
| Human Computer Interaction | 3 | ||
| Database Systems | 3 | ||
| Operating Systems | 3 | ||
| Computer Networks | 3 | ||
| Information Assurance and Security | 3 | ||
| Social Issues and Professional Practices | 3 | ||
| TOTAL CREDIT HOURS | 28 | ||
| Discipline Core Courses (Mathematics) | Discrete Mathematics | 3 | |
| Calculus and Linear Algebra | 3 | ||
| Statistics and Probability | 3 | ||
| TOTAL CREDIT HOURS | 9 | ||
| Discipline Core Courses (Computing) | Programming in C++ | 3 | |
| Web Technologies | 4 | ||
| Object-oriented Programming | 3 | ||
| Artificial Intelligence | 3 | ||
| Data Structures & Algorithms | 3 | ||
| Mobile Application Development | 3 | ||
| Software Engineering | 3 | ||
| Software Project Management | 4 | ||
| Requirements Engineering | 4 | ||
| Software Quality Engineering | 4 | ||
| TOTAL CREDIT HOURS | 34 | ||
| Discipline Core Courses (Projects & Industrial Training) | Project 1 | 2 | |
| Project 2 | 4 | ||
| Industrial Training | 6 | ||
| TOTAL CREDIT HOURS | 12 | ||
| Elective Core Courses (any 5) | Computer Vision | 4 | |
| Machine Learning | 4 | ||
| Deep Learning | 4 | ||
| Business Intelligence | 4 | ||
| Data Mining and Data Warehousing | 4 | ||
| Big Data Analytics | 4 | ||
| Cryptography and Data Security | 4 | ||
| Data Recovery, Tracing and Evidence Gathering | 4 | ||
| Ethical Hacking | 4 | ||
| TOTAL CREDIT HOURS | 20 | ||
| GRAND TOTAL | 124 | ||
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.
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| Week Start | Week End | Academic Week | Activity | Remarks | Public Holidays | ||
| 11-Apr | Registration | (new students only) | |||||
| 13-Apr | 17-Apr | Orientation | (new students only) | ||||
| 20-Apr | 24-Apr | Week 1 | Learning Week | ||||
| 27-Apr | 1-May | Week 2 | Learning Week | Labour Day | 1-May | Fri | |
| 4-May | 8-May | Week 3 | Learning Week | ||||
| 11-May | 15-May | Week 4 | Learning Week | ||||
| 18-May | 22-May | Week 5 | Learning Week | ||||
| 25-May | 29-May | Week 6 | Learning Week | Hari Raya Aidiladha | 27-May | Wed | |
| Wesak Day | 31-May | Sun | |||||
| 1-Jun | 5-Jun | Week 7 | Learning Week | Agong’s Birthday | 1-Jun | Mon | |
| (RPH) Wesak Day | 1-Jun | Mon | |||||
| 8-Jun | 12-Jun | Week 8 | Self-Study Week | ||||
| 15-Jun | 19-Jun | Week 9 | Final Examination | Awal Muharram | 17-Jun | Wed | |
| 22-Jun | 26-Jun | Semester Break | |||||
| 29-Jun | 3-Jul | Semester Break | |||||
