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Bachelor of Computer Science (Hons) (Intelligent Systems)

Offered by: Asia Pacific University of Technology & Innovation (APU)
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Exam BodyAPU Malaysia Degree
Course Duration36 months
Part Time/Full TimeFull Time
FeesRM87,000+ GBP 375/year *
Fees (International Student)RM 88,200 + GBP 375/year *
FacultySchool of Computing & Technology
Conducted entirely in MalaysiaYes
Awarding CountryMalaysia
Level of StudyBachelor's Degree Level
Field of StudyComputing & IT
Course Description

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.
Curriculum

DEGREE LEVEL 1

Students will learn fundamental skills required by every IT professional, and the basic understanding of artificial intelligence techniques and algorithmic 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

  • Computing & IT in the Workplace
  • Introduction to Management
  • System Analysis & Design
  • Fundamentals of Software Development
  • Mathematical Concepts for Computing
  • Operating Systems & Computer Architecture
  • Introduction to Networking
  • Introduction to Databases

Specialized Modules

  • Introduction to Artificial Intelligence

Elective Modules (Choose 1)

  • Introduction to Object-Oriented Programming
  • Introduction to C 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

  • Object Oriented Development with Java
  • System Development Methods
  • Programming for Data Analysis
  • Creativity & Innovation
  • Research Methods For Computing & Technology

Specialized Modules

  • AI Methods
  • Probability & Statistical Modeling
  • Human-Computer Interaction
  • Data Structures
  • Imaging & Special Effects
  • System Programming & Computer Control

Elective Modules (Choose 1)

  • Queuing System & Simulation
  • Enterprise Internet of Things

 

INTERNSHIP (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

  • Innovation Management & New Product Development
  • Project Management

Specialized Modules

  • 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 Modules (Choose 2)

  • Algorithmics OR ?Text Analytics & Sentiment Analysis
  • Ubiquitous Computing OR Critical Issues in Managing Information Systems in Organizations

MQA Compulsory Subjects*

  • Ethnic Relations (M’sian Students)
  • Islamic & Asian Civilisation (M’sian Students)
  • Malaysian Studies (Int’l Students)
  • Malay Communication Language (Int’l Students)
  • Workplace Professional Communication Skills
  • Employee & Employment Trends
  • Co-Curriculum

(*All students are required to successfully complete these modules as stipulated by the Malaysian Qualification Agency)

Entry 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.

• 2 Passes in STPM with minimum Grade C (GPA 2.0) in any subject with a credit in Additional Mathematics at SPM.

• 2 Passes in STPM with minimum Grade C (GPA 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

• 2 Passes in A-Level in Science stream with a Pass in Mathematics and one Science or ICT subject.

• 2 Passes in A-Level with a Credit in Additional Mathematics at SPM/ IGCSE/ O-Level or equivalent.

• 2 Passes in A-Level with a Credit in Mathematics and Science or ICT subjects at SPM/ IGCSE/ O-Level 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 including Mathematics. 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 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.

Intake Months

March, June, Sept, Nov

Career Prospects
  • 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

All fees are in RM (Ringgit Malaysia) currency unless stated otherwise.


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