Bachelor of Computer Science with Honours
Develop deep theoretical and practical computing skills, focusing on algorithms, data structures, and programming to solve complex technical problems.
Program Highlight
Why Choose Computer Science at UKM Qatar
For students who enjoy mathematical thinking, problem-solving, and creating new computing solutions. Ideal for careers requiring deep technical expertise and theoretical knowledge.
Program Highlights
- Comprehensive theoretical and practical curriculum
- Focus on algorithms, data structures, and AI
- Expert faculty with research experience
- Practical training through industrial attachment
Key Courses & Specialisations
| CORE COURSES |
|---|
| ✓ Programming |
| ✓ Data Structures |
| ✓ Algorithms |
| ✓ Artificial Intelligence |
| ✓ Theory of Computer Science |
| ELECTIVES |
|---|
| ✓ Machine Learning |
| ✓ Data Science |
| ✓ Image Processing |
| ✓ Text Analytics |
Program Structure
Year 1
| Semester 1 |
|---|
| Computer Programming |
| Discrete Mathematics |
| Computer Organization and Architecture |
| System Analysis and Design |
| Statistical Analysis |
| E-Sport |
| Pronunciation in English |
| Semester 2 |
|---|
| Digital Innovation |
| Database |
| Object-Oriented Programming |
| Software Engineering Concepts |
| Fundamentals of Entrepreneurship Innovation |
| Integrity and Anti-Corruption |
| Academic Literacy |
Year 2
| Semester 1 |
|---|
| Digital Community |
| Computer Network Technology |
| Data Structures and Algorithms |
| Malay Language Communication 2 |
| History of Qatar |
| Managing Emotion |
| Speak to Persuade |
| Semester 2 |
|---|
| User Experience Design |
| Artificial Intelligence |
| Theory of Computer Science |
| Web Development |
| Philosophy & Current Issues |
| Entrepreneurship and Leadership |
| Professional Communication |
Year 3
| Semester 1 |
|---|
| Operating System |
| Cyber Security |
| Parallel Programming |
| Principles of Data Science |
| Fundamental of Text Processing & Analytics |
| Machine Learning |
| Semester 2 |
|---|
| Project Proposal |
| Web Searching & Recommender Systems |
| Data Engineering |
| Digital Image Processing |
| Data Mining |
Year 4
| Semester 1 |
|---|
| Computing Ethics |
| Project |
| Analysis of Algorithm and Design |
| Natural Language Computing |
| Semester 2 |
|---|
| Industrial Training |
Assoc. Prof. Dr. Shereena M.Arif
Faculty of Modern & Technological Sciences
Dr. Rehan Tariq Chohan
Faculty of Modern & Technological Sciences
Dr. Saleh Musleh
Faculty of Modern & Technological Sciences| Program Cost | |
|---|---|
| Mode | Full Time |
| Duration | 4 Years |
| Tuition Fee | 55,000 QR / Year |
| Registration Fee | 2,500 QR |
Admissions Requirements
Shahadat Al-Thanawaya Al-Aama or twelve years (12) schooling
- Minimum 70% overall result.
- Minimum 70% in Mathematics.
Advanced Level (A-Level)
Applicants must meet ONE of the following:
- For three (3) subjects: a minimum Grade C for every subject including Mathematics.
- For four (4) subjects and above: a minimum Grade C in three (3) subjects, AND a minimum Grade D in Mathematics.
For Advanced Level (A-Level): Minimum Grade C in three (3) subjects including Mathematics.
International Baccalaureate (IB)
- Overall minimum 25 points.
- High Level (HL) subjects: a minimum score of 3 in two (2) subjects, including Mathematics.
English requirement
Applicants must meet ONE of the following:
- Minimum IELTS score of 5.5, OR
- 50% to 69% in English in Shahadat Al-Thanawaya Al-Aama (need to enroll in UKM Qatar English course and to obtain IELTS score of 5.5 before completion of studies).
Additional requirement
- Pass the interview set by the faculty (if applicable).
Application Deadlines
| Semester 1 (Fall) 2026/2027 | ||
|---|---|---|
| Activity | Date Range | Remarks |
| Student Registration and Orientation Week | 16 Aug - 20 Aug 2026 | |
| First day of classes (Fall 2025) | 23-Aug-2026 | Teaching & Learning |
| Lecture Weeks 1-7 | 23 Aug - 8 Oct 2025 | Teaching & Learning |
| End of Add/Drop period (Fall 2025) | 23-31 Aug 2026 | |
| Mid-Semester Break | 11 Oct - 15 Oct 2026 | No Classes |
| Lecture Weeks 8-15 | 18 Oct - 10 Dec 2026 | Teaching & Learning |
| Final Examination | 13 - 24 Dec 2026 | Examination Period |
| National Day Holiday | 18 Dec 2026 (Friday) | Public Holiday |
| Result | 1-Jan-2027 | |
| Semester Break | 25 Dec 26 – 14 Jan 2027 | Break Between Semesters |
| Semester 2 (Spring) 2026/2027 | ||
|---|---|---|
| Activity | Date Range | Remarks |
| Lecture Weeks 1-6 | 17 Jan - 25 Feb 2027 | Teaching & Learning |
| End of Add/Drop period (Fall 2025) | 17 - 24 Jan 2027 | |
| National Sports Day Holiday | 09 Feb 2027 (Tuesday) | Public Holiday |
| Mid-Semester Break | 28 Feb - 4 March 2027 | No Classes |
| Eid Al-Fitr Holiday | 7 - 13 March 2027 | Eid Mubarak 9 (Tuesday) - 11 March (Thursday) 2027 |
| Lecture Weeks 7-15 | 14 Mar - 13 May 2027 | Teaching & Learning |
| Eid Al-Adha Holiday | 16 May - 20 May 2027 | Eid Mubarak 17 (Monday) - 19 (Wednesday) May 2027 |
| Final Examination | 23 May - 3 June 2027 | Examination Period |
| Results | 10-Jun-2027 | |