Bachelor of Computer Science (Honours) (Artificial Intelligence) will offer solutions to issues encountered in the real world that call for the gathering and representation of knowledge, intelligence, and information within computerised processes, which serve as the foundation for artificially intelligent computer systems.
Overview
The Bachelor of Computer Science (Honours) (Artificial Intelligence) programme offers courses which provides knowledge in development and use of advanced AI technology to address real-world issues relying on human intelligence. Additionally, the degree provides the basis for continuing professional development, preparing graduates for additional analysis, professional career in a field related to AI and computing, or even other fields where the scope of acquired skills and knowledge that are required or desired.
Program Aim
The programme Bachelor of Computer Science (Honours) (Artificial Intelligence) will produce professionals who can be able to:
- Produce knowledgeable and be technically competent in the field of Computer Science in line with Artificial Intelligence industry requirement locally and globally
- Perform well as a team player, demonstrate good leadership qualities in an organization, and be effective in communication.
- Solve problems related to the field of Computer Science creatively, innovatively, ethically, using numerical and technical skills, and through sustainable approach to solve Artificial Intelligence related problems.
- Demonstrate entrepreneurship skills and recognize the need of lifelong learning, as well using a broad range of information, media, and technology applications for successful career advancement.
Career Opportunities
Career prospects in artificial intelligence have increased recently because of rising industry demand. It makes sense that there will be a lot of jobs created by AI. Compared to other careers now available, an AI career appears to be the most promising. These are some of the occupations that this qualification can lead to:
- Data Scientist
- Intelligent Software Developer
- AI Consultant
- Knowledge Engineer
- Machine Learning Engineer
- Computer Vision Engineer
- Big Data Architect
Subject Highlights
| Sl.No. | MQA Subject Code | Subject Name | Credits |
|---|---|---|---|
| 1 | BCSAI 6013 | Principles of Programming | 3 |
| 2 | BCSAI 6024 | Discrete Mathematics and Probability | 4 |
| 3 | BCSAI 6033 | English | 3 |
| Elective (Choose any one module from the following): | |||
| 4 Â | MPU 3113 | Islamic Civilization and Asian Civilization | 3 Â |
| MPU 3163 | Malay Language Communication | ||
| 5 | BCSAI 6043 | Computer Architecture and Organization | 3 |
| Elective (Choose any one module from the following): | |||
| 6 Â | MPU 3123 | Ethnic Relations | 3 Â |
| MPU 3173 | Malaysian Studies | ||
| 7 | BCSAI 6053 | Operating Systems | 3 |
| 8 | BCSAI 6063 | Database Management Systems | 3 |
| 9 | BCSAI 6073 | Computer Networks | 3 |
| 10 | BCSAI 6083 | Object Oriented Programming | 3 |
| 11 | MPU 3342 | Malaysian Government and Public Policy | 2 |
| 12 | BCSAI 6094 | Data structures and Algorithms | 4 |
| 13 | BCSAI 6114 | Fundamentals of Artificial Intelligence | 4 |
| 14 | BCSAI 6104 | Applied Statistics | 4 |
| 15 | BCSAI 6123 | Values & Ethics in profession | 3 |
| 16 | BCSAI 6134 | Machine Learning | 4 |
| 17 | BCSAI 6143 | Human Computer Interaction | 3 |
| 18 | BCSAI 6164 | System Analysis and Design | 4 |
| 19 | BCSAI 6154 | Software Engineering | 4 |
| 20 | BCSAI 6174 | Data Science Principles | 4 |
| 21 | BCSAI 6184 | Computational Intelligence | 4 |
| 22 | BCSAI 6194 | High Performance Computing | 4 |
| 23 | BCSAI 6203 | Project Management | 3 |
| 24 | MPU 3232 | Leadership Skills and Human Relations | 2 |
| 25 | BCSAI 6214 | Pattern Recognition | 4 |
| 26 | BCSAI 6224 | Computer Vision | 4 |
| 27 | BCSAI 6233 | Organizational Behavior | 3 |
| 28 | BCSAI 6244 | Intelligent Autonomous Robotics | 4 |
| 29 | BCSAI 6254 | Natural Language Processing | 4 |
| 30 | BCSAI 6266 | Final year Project | 6 |
| 31 | BCSAI 6276 | Industrial Training | 6 |
| 32 | BCSAI 6284 | Data Visualization | 4 |
| 33 | BCSAI 6294 | Business Intelligence Systems | 4 |
Entry Requirements
i. Passed Sijil Tinggi Persekolahan Malaysia (STPM) with a full pass in two subjects or equivalent with a minimum Cumulative Grade Point Average (CGPA) of 2.0 and pass the Sijil Pelajaran Malaysia (SPM) or equivalent with a credit in Mathematics; or
ii. Passed the Matriculation Programme or Foundation of PPT recognized by the Malaysian Government with a CGPA of 2.0 and credit in Mathematics at SPM level or equivalent; or
iii. A-Level pass with a minimum pass in two subjects including a credit in Mathematics at SPM level or equivalent; or
iv. Passing the Unified Examination Certificate (UEC) with at least grade B in five subjects including Mathematics and English; or
v. Graduated Diploma [Level 4, Malaysian Qualifications Framework (MQF)] in Computing or equivalent with a CGPA minimum 2.5; or candidates who obtained a CGPA below 2.5 but above 2.0 may be accepted subject to a rigorous internal assessment process; or Graduated Diploma (Level 4, MQF) than field Computing with a CGPA minimum 2.5 and credit in Mathematics at SPM level; or
vi. Other equivalent qualifications recognized by the Malaysian Government.
vii. For non-Malaysian citizens, please refer to the Malaysian Qualifications Agency’s (MQA) List of Overseas Qualifications and its equivalency with Malaysian Education System to see if you qualify for this course.
English Requirements :
International students must have proof of good proficiency in verbal and written English. For example, International English Language Testing System (IELTS) score of 5.0 or its equivalent. If a student does not meet this requirement, HEPs must offer English proficiency courses to ensure that the student’s proficiency is sufficient to meet the needs of the programme.
