Bachelor of Computer Science (Hons) (Artificial Intelligence) | Asia Pacific University (APU)

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Bachelor of Computer Science (Hons) (Artificial Intelligence)


Duration:
3 Years
(6 Semesters)

 


Awarded by:
APU, Malaysia


Intakes:
14 Mar 2024 | 25 Jul 2024
24 Sep 2024 | 21 Nov 2024

  

APU-DMU DUAL DEGREE PROGRAMME

Students who are under Bachelor’s Degree Programme will have the option to opt-in for the APU-DMU Dual Degree Scheme. Under this Scheme, students will receive 2 Degree Certificates & Transcripts upon graduation: 1 from Asia Pacific University (APU), Malaysia and 1 from De Montfort University (DMU), UK.

To know more about APU-DMU Dual Scheme, please click HERE



MORE THAN JUST A COMPUTER SCIENCE DEGREE

APU's Bachelor of Computer Science (Hons) (Artificial Intelligence) degree is designed to provide you an edge with the latest technologies that are in line with the Industrial Revolution 4.0.

Digital Transformation for IR4.0

ADMISSION REQUIREMENTS

GENERAL REQUIREMENTS

DIRECT ENTRY TO LEVEL 1 OF THE 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.
OR
• 2 Passes in STPM with minimum Grade C (GP 2.0) in any subject with a credit in Mathematics and any one Science or ICT subjects at SPM. Candidates need to do a Pre-Requisite module in Further Mathematics or equivalent in the first semester of Degree Programme.

A-LEVEL
Overseas qualification that are equivalent to 12th Grade/A Level/HSC are accepted.

• 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.
OR
• 2 Passes in A-Level with a Credit in Mathematics and Science or ICT subjects at SPM/O-Level/IGCSE or equivalent. Candidates need to do a Pre-Requisite module in Further Mathematics or equivalent in the first semester of Degree Programme.

UEC

• 5 Grade B Passes in UEC 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 Programme.

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.
 

Note: The requirement for the Additional Mathematics can be exempted if the Matriculation or Foundation offers Mathematics module which is equivalent or higher requirement than the Additional Mathematics at SPM level.


OR
• A pass in Matriculation or Foundation studies with minimum CGPA of 2.0 and a Credit in Mathematics and Science or ICT subject at SPM/IGCSE/O-Level or its equivalent. Candidates need to do a Pre-Requisite module in Further Mathematics or equivalent in the first semester of Degree Programme.

DIRECT ENTRY TO LEVEL 2 OF THE 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.
 
Note:Students who do not have a Credit in Additional Mathematics in SPM/O-Level/IGCSE but have an acceptable achievement in Mathematics related subjects during the Foundation which may be equivalent to SPM/O-Level/IGCSE Additional Mathematics, can be accepted into Degree Programmes. Students can be given preferential entry for ICT related subject in SPM/O-Level/ IGCSE.
 
Any qualification that APU accepts as equivalent to the above.

The above entry requirements may differ for specific programmes based on the latest programme standards published by Malaysian Qualifications Agency (MQA). The qualification and entry requirements for the programmes will be determined based on the "Comparison List of Equivalency of International Qualifications with SPM (O-Levels equivalent) and STPM (A-Levels equivalent)" published by Malaysian Qualifications Agency (MQA).
 
ENGLISH REQUIREMENTS

INTERNATIONAL STUDENTS

• IELTS : 5.0
• TOEFL IBT : 40
• Pearson (PTE) : 47
• MUET : Band 3.5

For more information please click HERE


PROGRAMME OUTLINE

This programme is specifically designed to provide students with:

  • The ability to design and develop systems that exploit artificial intelligence techniques such as machine learning, fuzzy logic, natural language processing, etc.
  • The ability to critically evaluate design paradigms, languages, algorithms, and techniques used to develop complex software systems.
  • The ability to evaluate and respond to opportunities for developing and exploiting new applications of artificial intelligence.

DEGREE LEVEL 1

Students will learn fundamental skills required by every IT professional, and the basic understanding of artificial intelligence techniques and algorithmnic thinking. Some specialised modules will provide them basic knowledge of underlying computer systems such as computer architecture, operating systems, networks and databases. The modules will also help them develop personal and organisational skills, as well as nurture creativity and innovation.

COMMON MODULES

  • Introduction to Networking
  • Systems Software and Computing Concepts
  • Introduction to Databases
  • Python Programming
  • Systems Analysis and Design
  • Integrated Computer Systems
  • Fundamental of Entrepreneurship

SPECIALISED MODULES

  • Digital Thinking and Innovation
  • Mathematical Concepts for Computing
  • Introduction to Artificial Intelligence
  • Introduction to Object Oriented Programming

DEGREE LEVEL 2

A broader range of skills will be learnt, in which the students will gain a better understanding of artificial intelligence techniques such as machine learning, fuzzy logic, and natural language processing. They will gain solid understanding of techniques used to develop complex software systems that include data acquisitions via various sensors. We will further nurture their creativity and innovation as well as independent learning to prepare them for the workplace.

COMMON MODULES

  • Innovation Process
  • Research Methods for Computing and Technology

SPECIALISED MODULES

  • Systems and Network Administration
  • System Development Methods
  • Object Oriented Development with Java
  • Web Applications
  • Concurrent Programming
  • Computer Systems Low Level Technique
  • Data Structures
  • Programming for Data Analysis
  • AI Methods
  • Imaging and Special Effects

INTERSHIP (16 weeks)

Students will undertake an Internship/Industrial Training for a minimum period of 16 weeks to prepare them for a smooth transition from the classroom to the working environment.

DEGREE LEVEL 3

Students will make use of their previous studies and industrial experience to extend their familiarity in the field of intelligent systems and to refine their personal and professional development. Students will move further into artificial intelligence design paradigms and algorithms, programming techniques and statistical techniques applicable to artificial intelligence. A final year project requires them to investigate and develop a solution for a real-world problem - they will demonstrate their ability to combine technical knowledge, critical thinking and analytical skills to produce a personal achievement portfolio.

COMMON MODULES

  • Venture Building
  • Project Management

SPECIALISED MODULES

  • Investigations in Artificial Intelligence
  • Algorithmics
  • User Experience
  • Advanced Database Systems
  • Text Analytics and Sentiment Analysis
  • Image Processing, Computer Vision and Pattern Recognition
  • Further Artificial Intelligence
  • Optimization and Deep Learning
  • Project in Artificial Intelligence

MQA COMPULSORY SUBJECTS*

  • Appreciation of Ethics and Civilisation (M’sian Students)
  • Malay Communication Language (Int’l Students)
  • Philosophy and Current Issues
  • Workplace Professional Skills
  • Integrity and Anti-corruption
  • Co-Curriculum
(*All students are required to successfully complete these modules as stipulated by the Malaysian Qualification Agency.)


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


COURSE FEES

Malaysian Students

International Students

Year 1: RM 31,700
Year 2: RM 32,800
Year 3: RM 33,800
Total: RM 98,300

Year 1: RM 32,000 (USD 7,270)
Year 2: RM 33,100 (USD 7,520)
Year 3: RM 34,400 (USD 7,820)
Total: RM 99,500 (USD 22,610)

​* Fees stated here do not include Deposits and other Miscellaneous Fees. Please refer to Fee Guide for details.


MQA ACCREDITATION

(R2/0613/6/0041)(06/29)(MQA/FA4621)
All information is correct at the time of publication, but is subject to change in the interest of continuing improvement.

     


Computing & Technology Degree Programmes