(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. |
QIU Graduate Attributes (GAs)
| PRIMARY PILLARS | |
| Head (Knowledge) | The acquisition and demonstration of systematic facts, concepts, theories, and technical knowledge in a specific field of study. |
| Hands (Skills) | The practical application of learning and technical competencies required for professional excellence. |
| Heart (Characteristics) | The internal values, behavioral traits, and mindsets that define a student’s professional identity and ethical grounding. |
| KNOWLEDGE (K), SKILLS (S1-S8), CHARACTERISTICS (C1-C9) | |
| Knowledge (MQF 2.0 Cluster: Knowledge and Understanding) | Knowledge (K) |
| S1. Cognitive Skills (MQF 2.0 Cluster: C2: Cognitive Skills) | Critical thinking and problem-solving skills with the ability to apply acquired knowledge in various situations. |
| S2. Practical Skills (MQF 2.0 Cluster: C3A: Practical Skills) | The acquisition of strong work and operational skills that allow graduates to excel in their specific fields. |
| S3. Interpersonal Skills (MQF 2.0 Cluster: C3B: Interpersonal Skills) | The ability to work collaboratively with different people within diverse learning and working communities. |
| S4. Communication Skills (MQF 2.0 Cluster: C3C: Communication Skills) | The ability to effectively convey ideas in written and/or oral forms using various presentation methods. |
| S5. Digital Skills (MQF 2.0 Cluster: C3D: Digital Skills) | A strong foundation in IT and digital knowledge and techniques. |
| S6. Numeracy Skills (MQF 2.0 Cluster: C3E: Numeracy Skills) | Precise and critical analytical abilities. |
| S7. Leadership Skills (MQF 2.0 Cluster: C3F: Leadership, Autonomy & Responsibility) | The demonstration of effective leadership qualities and individual accountability. |
| S8. Entrepreneurial Skills (MQF 2.0 Cluster: C4B: Entrepreneurial Skills) | The demonstration of creativity and core entrepreneurial competencies. |
| C1. Resilient (MQF 2.0 Cluster: C4A: Personal Skills / C5: Ethics & Professionalism) | Able to withstand or recover quickly from difficult conditions. |
| C2. Growth Mindset & Lifelong Learner (MQF 2.0 Cluster: C4A: Personal Skills / C5: Ethics & Professionalism) | Maintaining a consistent hunger for knowledge and opportunities to upskill. |
| C3. Proactive (MQF 2.0 Cluster: C4A: Personal Skills / C5: Ethics & Professionalism) | Creating or controlling a situation rather than just responding to it. |
| C4. Competitive Spirit (MQF 2.0 Cluster: C4A: Personal Skills / C5: Ethics & Professionalism) | Maintaining an ambitious, combative, and fighting attitude. |
| C5. Good Etiquette (MQF 2.0 Cluster: C4A: Personal Skills / C5: Ethics & Professionalism) | Demonstrating proper social and work etiquette. |
| C6. Affinity (MQF 2.0 Cluster: C4A: Personal Skills / C5: Ethics & Professionalism) | Feeling a special connection toward the university even after graduation. |
| C7. Socially Responsible (MQF 2.0 Cluster: C4A: Personal Skills / C5: Ethics & Professionalism) | Working and volunteering for the community to bring about positive change for the nation and the world. |
| C8. Ethical and Professional (MQF 2.0 Cluster: C4A: Personal Skills / C5: Ethics & Professionalism) | Demonstrating adherence to ethical standards and acting professionally. |
| C9. Personal Skills (MQF 2.0 Cluster: C4A: Personal Skills / C5: Ethics & Professionalism) | Demonstrating confidence, self-control, social skills, honesty, punctuality, time management, and keeping to and maintaining deadlines. |
Complex Problems (CPs) and Complex Activities (CAs) for Bachelor of Computer Science (BCS) with Honours Programme
| COMPLEX PROBLEMS (CPs) | |
| CP1 | Various parameters involving wide-ranging issues |
| CP2 | Depth of analysis of the problem with no obvious solution |
| CP3 | In-depth knowledge of the field of study |
| CP4 | Involves infrequently encountered issues |
| CP5 | Uncommon requirement beyond standard practice |
| COMPLEX ACTIVITIES (CAs) | |
| CA1 | Diverse resources (people, money, equipment, materials, information, and technologies |
| CA2 | Considering solutions for different parameters |
| CA3 | Involves creativity and innovation in providing a solution |
| CA4 | Sustainable solution |
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.
Want to browse our programmes by programme levels instead?
Browse our experts by their faculties or schools.
All Faculty of Business and Management Experts
All Faculty of Computing and Engineering Experts
All Faculty of Integrated Life Sciences Experts
All Faculty of Social Sciences Experts
| 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 | |||||
| Week Start | Week End | Academic Week | Activity | Remarks | Public Holidays | |
27-Jun Sat | Registration | (new students only) | ||||
29-Jun Mon | 3-Jul Fri | Orientation | (new students only) | |||
6-Jul Mon | 10-Jul Fri | Week 1 | Learning Week | |||
13-Jul Mon | 17-Jul Fri | Week 2 | Learning Week | |||
20-Jul Mon | 24-Jul Fri | Week 3 | Learning Week | |||
27-Jul Mon | 31-Jul Fri | Week 4 | Learning Week | |||
3-Aug Mon | 7-Aug Fri | Week 5 | Learning Week | |||
10-Aug Mon | 14-Aug Fri | Week 6 | Learning Week | |||
17-Aug Mon | 21-Aug Fri | Week 7 | Learning Week | |||
24-Aug Mon | 28-Aug Fri | Week 8 | Learning Week | Maulidur Rasul | 25-Aug Tue | |
31-Aug Mon | 4-Sep Fri | Week 9 | Learning Week | Merdeka Day | 31-Aug Mon | |
7-Sep Mon | 11-Sep Fri | Week 10 | Learning Week | |||
14-Sep Mon | 18-Sep Fri | Week 11 | Learning Week | Malaysia Day | 16-Sep Wed | |
21-Sep Mon | 25-Sep Fri | Week 12 | Learning Week | |||
28-Sep Mon | 2-Oct Fri | Week 13 | Learning Week | |||
5-Oct Mon | 9-Oct Fri | Week 14 | Learning Week | |||
12-Oct Mon | 16-Oct Fri | Week 15 | Self-Study Week | |||
19-Oct Mon | 23-Oct Fri | Week 16 | Final Examination | |||
26-Oct Mon | 30-Oct Fri | Week 17 | Final Examination | |||
2-Nov Mon | 6-Nov Fri | Semester Break | Sultan of Perak’s Birthday | 6-Nov Fri | ||
| Deepavali | 8-Nov Sun | |||||
9-Nov Mon | 13-Nov Fri | Semester Break | Deepavali | 9-Nov Mon | ||
16-Nov Mon | 20-Nov Fri | Semester Break | Convocation | 21-Nov Sat | ||
| Week Start | Week End | Academic Week | Activity | Remarks | Public Holidays | |
24-Oct Sat | Registration | (new students only) | ||||
26-Oct Mon | 30-Oct Fri | Orientation | (new students only) | |||
| 2-Nov Mon | 6-Nov Fri | PNP Week 1 | (new students only) | Sultan of Perak’s Birthday | 6-Nov Fri | |
| Deepavali | 8-Nov Sun | |||||
9-Nov Mon | 13-Nov Fri | Deepavali Break | Deepavali | 9-Nov Mon | ||
16-Nov Mon | 20-Nov Fri | PNP Week 2 | (new students only) | |||
23-Nov Mon | 27-Nov Fri | Week 1 | Learning Week | |||
30-Nov Mon | 4-Dec Fri | Week 2 | Learning Week | |||
7-Dec Mon | 11-Dec Fri | Week 3 | Learning Week | |||
14-Dec Mon | 18-Dec Fri | Week 4 | Learning Week | |||
21-Dec Mon | 25-Dec Fri | Week 5 | Learning Week | Christmas Day | 25-Dec Fri | |
28-Dec Mon | 1-Jan Fri | Week 6 | Learning Week | New Year’s Day | 1-Jan Fri | |
4-Jan Mon | 8-Jan Fri | Week 7 | Learning Week | |||
11-Jan Mon | 15-Jan Fri | Week 8 | Learning Week | |||
18-Jan Mon | 22-Jan Fri | Week 9 | Learning Week | Thaipusam | 22-Jan Fri | |
25-Jan Mon | 29-Jan Fri | Week 10 | Learning Week | |||
1-Feb Mon | 5-Feb Fri | Week 11 | Learning Week | Chinese New Year | 6-Feb Sat | |
| Chinese New Year | 7-Feb Sun | |||||
8-Feb Mon | 12-Feb Fri | Mid-Semester Break | Chinese New Year | 8-Feb Mon | ||
15-Feb Mon | 19-Feb Fri | Week 12 | Learning Week | |||
22-Feb Mon | 26-Feb Fri | Week 13 | Learning Week | Nuzul Al-Quran | 24-Feb Wed | |
1-Mar Mon | 5-Mar Fri | Week 14 | Learning Week | |||
8-Mar Mon | 12-Mar Fri | Week 15 | Self Study Week | Hari Raya Aidilfitri | 10-Mar Wed | |
| Hari Raya Aidilfitri | 11-Mar Thu | |||||
15-Mar Mon | 19-Mar Fri | Week 16 | Final Examination | |||
22-Mar Mon | 26-Mar Fri | Week 17 | Final Examination | |||
29-Mar Mon | 2-Apr Fri | Semester Break | ||||
5-Apr Mon | 9-Apr Fri | Semester Break | ||||
(PNP : Pre-November Programme)
