(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 | Graduates 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. |
| PEO2 | Graduates equipped with leadership capabilities, excellent interpersonal skills, and effective communication abilities to engage seamlessly with diverse stakeholders. |
| PEO3 | Graduates who are committed to lifelong learning and possessing an entrepreneurial mindset, promoting continuous self-improvement and career advancement. |
| PEO4 | Graduates who instill ethical behavior and uphold professional standards in the computing industry, ensuring integrity in their work. |
PROGRAMME LEARNING OUTCOMES (PLO)
| PLO1 Knowledge and Understanding | Explain concepts, principles and theories relating to Computer Science. |
| PLO2 Cognitive Skills | Apply design and architecture to Computer Science solutions using appropriate tools and techniques.< |
| PLO3 Practical Work Skills | Perform support and development tasks on Computer Science solutions related to job functions. |
| PLO4 Numeracy Skills | Apply appropriate numerical skills in computing related to job functions. |
| PLO5 Digital Skills | Use 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 Professionalism | Commit to professional and ethical practices in executing instructions related to the job and organisational functions. |
| PLO8 Interpersonal Skills | Demonstrate effective interaction with stakeholders and society in a work-related environment. |
| PLO9 Communication Skills | Exhibit effective communication with stakeholders and society in a work-related environment. |
| PLO10 Entrepreneurial Skills | Demonstrate an entrepreneurial mindset in performing tasks. |
| PLO11 Personal Skills | Commit 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:
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.
Quest International University (QIU) has fostered a strategic partnership with Beijing Institution of Technology (BIT) in China to offer a 4-year Dual Award Degree Programme in Computer Science. Students who enrolled on this programme will study at QIU for their first two years, and then continue to pursue their studies at BIT in China for the remaining two years. Upon successful completion of the programme, the graduates will be awarded a Bachelor of Computer Science (Hons) degree from QIU and a Bachelor of Science in Computer Science and Technology degree from BIT.
QIU is a private comprehensive university and it has over a decade of experience in producing industry-ready graduates by using highly effective motivational teaching methods. While BIT is a
research-led university with a strong focus on science and technology, ranked 3rd in the Science and Technology Universities Ranking in China 2020 published by CUAA. The partnership between QIU and BIT offers a unique learning experience where the students can study in different countries to gain new perspectives and opportunities.
The Dual Award Degree Programme focuses on the study of scientific and theoretical computing knowledge in analysing, modelling, designing, developing and evaluating computing solutions; and understanding the interplay between theory and practice of computer science and the essential links between them. A major highlight of the programme is its unique 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.
In addition, the programme also incorporates various soft skills such as teamwork, problem-solving and critical thinking into the teaching and learning process as part of the curriculum delivery. This will permit the graduates to adapt to new technologies and ideas in computing work; derive innovative ways to solve computing problems; devise new ways of using computers; develop software; plan and manage organizational technology infrastructure. Ultimately, the programme aims to produce job-ready graduates which will be highly demanded in the industry.
Matriculation / Foundation
Pass with a minimum CGPA of 2.00 and Credit at SPM level or equivalent in:
Sijil Tinggi Persekolahan Malaysia (STPM)
Science Stream:
Pass with minimum Grade C (GP 2.00) in Mathematics and one subject in Science or ICT
Non-Science Stream:
Pass with minimum Grade C (GP 2.00) in any two subjects including Credit at SPM level in:
A Level
Science Stream:
Two Passes in Mathematics and one subject in Science or ICT
Non-Science Stream:
Two passes in any subjects including Credit at SPM level or equivalent in:
Unified Examination Certificate (UEC)
Science Stream:
Pass with minimum Grade B in five subjects including Mathematics and one subject in Science or ICT
Non-Science Stream:
Pass with minimum grade B in five subjects including Credit at SPM level or equivalent in:
Diploma
Pass with a minimum CGPA of 2.50* in the fields of Computing, Science or Technology.
* A candidate with a CGPA between 2.0 and 2.5 may be accepted via a rigorous assessment
conducted by the University.
English Proficiency for Foreign Students
A minimum score of 5.0 in IELTS, 410 in TOEFL PBT, 34 in TOEEFL IBT or other equivalent]
English Proficiency Tests.
*Chinese Proficiency (Graduation Requirement)
A minimum of level 3 in HSK or other equivalent Chinese Proficiency Tests.
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 | ||||||
ALWAYS QIU
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| Public Holidays | Week start | Week end | Academic Week |
| 18-Nov | **Registration & Orientation – 18 Nov (Mon) | ||
| 19-Nov | 22-Nov | Week 1 – Class starts for all (19 Nov) | |
| 25-Nov | 29-Nov | Week 2 | |
| 2-Dec | 6-Dec | Week 3 | |
| 9-Dec | 13-Dec | Week 4 | |
| 16-Dec | 20-Dec | Week 5 | |
| 25-Dec Wed Christmas Day | 23-Dec | 27-Dec | Week |
| 1-Jan Wed New Year | 30-Dec | 3-Jan | Week 7 |
| 6-Jan | 10-Jan | Week 8 | |
| 13-Jan | 17-Jan | Week 9 | |
| 20-Jan | 24-Jan | Week 10 | |
| 29 Jan Wed Chinese New Year | 25-Jan | 31-Jan | Mid-sem Break |
| 3-Feb | 7-Feb | Week 11 | |
| 11 Feb Tue Thaipusam | 10-Feb | 14-Feb | Week 12 |
| 17-Feb | 21-Feb | Week 13 | |
| 24-Feb | 28-Feb | Week 14 | |
| 3-Mar | 7-Mar | Study Week | |
| 10-Mar | 15-Mar | Final Examination | |
| 17 Mar Mon Nuzul Al-Quran | 17-Mar | 22-Mar | Final Examination |
| 24-Mar | 28-Mar | Semester Break | |
| 31 Mar Mon Hari Raya Aidilfitri | 31-Mar | 4-Apr | Semester Break |
| 7-Apr | 11-Apr | Semester Break | |
| 14-Apr | 18-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
