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Artificial Intelligence focuses on the principles and technologies driving AI systems, such as machine learning and neural networks. APU BSc of CS in Artificial Intelligence applications range sectors like healthcare, finance, and automotive.
Graduates often work as machine learning engineers, AI researchers, or data scientists. The interdisciplinary nature of AI offers roles across diverse industries, wherever intelligent systems optimize processes or enhance experiences.
Program Outline
APU BSc CS in Artificial Intelligence aims to teach students:
- The skill to make and use systems with AI methods like machine learning and language processing.
- To check and understand tools and ways to make complex software.
- The talent to see and use new chances to make and use AI applications.
Degree Level 1
In year 1, students will gain essential abilities every IT expert needs, along with a foundational grasp of AI methods and algorithm-based reasoning.
Specific courses will give a foundational insight into computer systems, covering topics like computer structure, system operations, networks, and database management. These courses will also help in enhancing personal and team skills while increasing originality and inventive thinking.
Common Courses
- Digital Thinking and Innovation
- Intercultural Awareness and Cultural Diversity
- System Analysis and Design
- Python Programming
- Mathematical Concepts for Computing
- Operating Systems and Computer Architecture
- Introduction to Networking
- Introduction to Databases
- Fundamental of Entrepreneurship
Specialized Courses
- Introduction to Artificial Intelligence
Degree Level 2
In year 2, students of APU BSc CS in Artificial Intelligence will learn a wide range of skills, understanding more about AI methods like machine learning, fuzzy logic, and language processing.
They will develop a strong understanding of strategies for building software systems that collect data through different sensors. Additionally, APU will enhance their thinking and self learning to get ready them for professional jobs.
Common Courses
- Object Oriented Development with Java
- System Development Methods
- Programming for Data Analysis
- Innovation Process
- Research Methods for Computing and Technology
Specialized Courses
- AI Methods
- Probability & Statistical Modeling
- Human-Computer Interaction
- Data Structures
- Imaging & Special Effects
- System Programming & Computer Control
Elective Courses (Choose 1)
- Mobile App Engineering
- Enterprise Internet of Things
Internship
To bridge the gap between academic and professional worlds, students will experience an Internship or Industrial Training for at least 16 weeks. This ensures they transition smoothly from academic settings to real world jobs.
Degree Level 3
In year 3, students will use what they learned before and their work experience to get better at understanding smart systems. They will study more about how artificial intelligence is designed, its rules, and how to program it.
In their last year, they will work on a big project where they solve a real problem. This project will show they can use their technology knowledge, think deeply, and analyze well, all collected in personal achievement.
Common Courses
- Venture Building
- Enterprise Programming for Distributed Applications
- Project Management
Specialized Courses
- Further Artificial Intelligence
- Image Processing, Computer Vision & Pattern Recognition
- Emergent Technology
- Knowledge Discovery and Big Data Analytics
- Investigations in Intelligent Systems
- Intelligent Systems Project
Elective Courses (Choose 2)
- Algorithmics OR Text Analytics & Sentiment Analysis
- Ubiquitous Computing OR Critical Issues in Managing IS in Organizations
MQA Compulsory Subjects
- Appreciation of Ethics and Civilization (Malaysian Students)
- Malay Communication Language (Int’l Students)
- Philosophy and Current Issues
- Workplace Professional Skills
- Integrity and Anti-corruption
- Co-Curriculum
APU-DMU Dual Degree
Students enrolled in the Bachelor’s Degree Program are presented with the opportunity to join the APU-DMU Dual Degree Scheme.
By choosing this pathway, upon graduation, students will be awarded two Degree Certificates and Transcripts: one from Asia Pacific University (APU) in Malaysia and another from De Montfort University (DMU) in the UK.
| Duration | Intakes |
| 3 Years (6 Semesters) |
14 Mar 2024 | 25 Jul 2024 24 Sep 2024 | 21 Nov 2024 |
Admission Requirements
| General Requirements | |
| Direct Entry to Level 1 of Degree | |
| STPM | • 2 Passes in STPM in Science stream with minimum Grade C (GPA 2.0) in Mathematics and one Science or ICT Subject. OR • 2 Passes in STPM with minimum Grade C (GP 2.0) in any subject with a credit in Additional Mathematics at SPM. |
| A-Level | • 2 Passes in A-Level in Science stream with a Pass in Mathematics and one Science or ICT subject. OR • 2 Passes in A-Level with a Credit in Additional Mathematics at SPM/IGCSE/O-Level or equivalent. |
| UEC | • 5 Grade B Passes in UEC in Science Stream in any subject including Mathematics and one Science or ICT subject. • 5 Grade B Passes in UEC in any subject including Additional Mathematics. • 5 Grade B Passes in UEC in any subjects with Credit in Mathematics and Science or ICT Subject at SPM or equivalent. Candidates need to do a Pre-Requisite module in Further Mathematics or equivalent in the first semester of Degree Program. |
| Foundation/ Matriculation | • A pass in Matriculation or Foundation studies with minimum CGPA of 2.0 with a Credit in Additional Mathematics at SPM/IGCSE/O-Level or its equivalent.
OR |
| Direct Entry to Level 2 of Degree | |
| ICT Related Diplomas | • Diploma with a minimum CGPA of 2.50.
Note: Student with CGPA above 2.0 and below 2.5 may be accepted using rigorous assessment conducted by APU and subject to the approval of the Academic Board.
|
English Requirements for International Students
- IELTS : 5.0
- TOEFL iBT : 40
- Pearson (PTE) : 47
- MUET : Band 3.5
Career Options
- Business Decision Support Engineer
- Robotics R&D Engineer
- Backend Game Developer
- Machine Learning Engineer
- Deep Learning Scientist
- Artificial Intelligence (AI) Engineer
- Artificial Intelligence (AI) Specialist
- Algorithm Specialist
- Machine Vision Engineer
- AI Platform Architect
- Artificial Intelligence Analyst
- NLP Engineer
FAQs
1.What is the focus of the BSc in CS in Artificial Intelligence program?
- The program focuses on core AI subjects such as machine learning, neural networks, natural language processing, robotics, and data analytics.
2.What kind of support services are available for international students?
- APU provides various support services including academic advising, counseling, career services, and assistance with visa applications.
Program Fees
APU BSc of CS in Artificial Intelligence fees is different for Malaysian and International Students. Following table show the fees for each year and all duration of the program.
| Malaysian Students | International Students |
| Year 1: RM 31,700 | Year 1: RM 32,000 (USD 7,270) |
| Year 2: RM 32,800 | Year 2: RM 33,100 (USD 7,520) |
| Year 3: RM 33,800 | Year 3: RM 34,400 (USD 7,820) |
| Total: RM 98,300 | Total: RM 99,500 (USD 22,610) |
