Overview
Bachelor of Science (BS) in Computer Science with an emphasis on Artificial Intelligence (AI) is an undergraduate degree that combines a robust foundation in computer science with specialized knowledge in the rapidly evolving field of AI. This program prepares students to design, develop, and implement intelligent systems and applications by integrating traditional computer science education with cutting-edge AI techniques.
This program merges core computer science education with specialized training in AI. Students gain foundational knowledge in programming, data structures, algorithms, operating systems, and database management while focusing on advanced AI topics such as machine learning, Artificial Intelligence, Evolutionary Computation, Data Mining and Digital Image Processing. They develop critical skills in technical proficiency, analytical thinking, and ethical awareness, enabling them to create innovative AI solutions and contribute to various industries.
In a world increasingly driven by AI, this degree equips graduates with the expertise to shape the future of technology, addressing both the opportunities and challenges that AI presents across diverse sectors
Admission Criteria
- A recognized general education diploma or its equivalent.
- Students joining MCBS must go through an English placement test to determine the appropriate English level.
- Students presenting a valid score of 5.5 and above in IELTS or 65-79 in internet based TOEFL (iBT) are exempt from the first part of the placement test and are required to take the other part of the English language program (writing test).
- Students will need to go through Mathematics and IT placements tests to determine their levels of proficiency in these subjects as they are part of the GFP or possible exemption.
- Mathematics placement tests will determine whether Basic Mathematics (MATH 10) and Pure Mathematics (MATH 21) can be exempted, or students will be given both or one of them.
- IT placement test will determine whether students will require to take the Information Technology.
Program Structure
Duration: Bachelor’s degree requires about 8 semesters or 4 years.
Program delivery: 12-15 credits per normal semester and 6 credits per summer semester.
Internship: Placement on a 3 month internship.
Courses: Apart from courses closely related to the program, students take general education courses.
| Courses | Credits |
|---|---|
| Computer Science Core Courses | 47 |
| Artificial Intelligence Emphasis Area | 15 |
| Communication skills | 09 |
| Humanities | 09 |
| Social Sciences | 09 |
| Mathematics and Computer Science | 30 |
| Internship | 01 |
| Total | 120 |
Computer Science Core Courses (47 Credits)
| Course Code | Course Name | Credits |
|---|---|---|
| COSC 1301 | Object Oriented Programming I | 3 |
| COSC 2325 | Data Communications & Networks | 3 |
| COSC 1330 | Computer Architecture & Organization | 3 |
| COSC 2320 | Database Management Systems | 3 |
| COSC 2350 | System Programming and Tools | 3 |
| CPT 182 | Programming in C | 3 |
| CPT 220 | Programming & Data Structures | 3 |
| CPT 278 | Design and Analysis of Algorithms | 3 |
| CPT 325 | Programming Languages | 3 |
| CPT 328 | Program Translation Techniques | 3 |
| CPT 376 | Operating Systems | 3 |
| CPT 382 | Computer Science Project I | 2 |
| CPT 383 | Computer Science Project II | 3 |
| ICT 128 | Web Application Techniques | 3 |
| ICT 205 | Software Engineering | 3 |
| ISEC 2340 | Principles of Information Security | 3 |
Artificial Intelligence Emphasis Area (15 Credits)
| Course Code | Course Name | Credits |
|---|---|---|
| COSC 4300 | Introduction to Artificial Intelligence | 3 |
| COSC 4320 | Introduction to Evolutionary Computation | 3 |
| COSC 4340 | Introduction to Machine Learning | 3 |
| COSC 4342 | Introduction to Data Mining | 3 |
| COSC 4354 | Introduction to Digital Image Processing | 3 |
Career Opportunities
Graduates with a B.Sc. in Computer Science with an AI emphasis is prepared for a wide range of roles in both the technology industry and academia, including:
- AI/Machine Learning Engineer
- Data Scientist
- Robotics Engineer
- NLP Specialist
- AI Research Scientist
- Computer Vision Engineer
Ready to take the next step?
Info
Duration: 4 years full-time
Semester Starts: Fall, Spring, Summer I and Summer II.
Fee: 12,124 OMR