Bachelor of Computer Science (Hons) Intelligent Systems | Asia Pacific University (APU)

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Bachelor of Computer Science (Hons) Intelligent Systems

Duration:

3 Years (6 Semesters)

Award:

APU, Malaysia

Intake:

24 September 2019
19 November 2019

Embracing the Wave of Industry Revolution 4.0

This programme is specifically designed to provide:

  • 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.

Entry Requirements:

  • A Pass in STPM with a minimum Grade C (GP 2.0) in any 2 subjects and a Credit in Additional Mathematics at SPM Level or its equivalent.; or
  • *2 Passes in A-Level and a Credit in Additional Mathematics at SPM/O-Level/ IGCSE OR 2 Passes in A-Level including Mathematics and a Credit in Mathematics at O-Levels.
  • 5 Grade B’s in UEC, including Additional Mathematics; or
  • **Passed the APU Foundation programme (minimum CGPA of 2.0) with an acceptable achievement in “Further Mathematics” module and a Credit in Mathematics at SPM/O-Level/IGCSE or equivalent; or
  • **Passed the APU Foundation (minimum CGPA of 2.0) with a Credit in Additional Mathematics at SPM/O-Level/IGCSE or equivalent; or
  • **Passed the Foundation/ Matriculation from other institution, with a minimum CGPA of 2.0, with a Credit in Additional Mathematics at SPM/ O-Level/ IGCSE or equivalent; or
  • **APU Diploma (minimum CGPA of 2.5) with a Credit in Mathematics or Additional Mathematics at SPM/ O-Level/IGCSE or equivalent; or
  • ** Diploma from other institutions with minimum CGPA of 2.5 and a Credit in Additional Mathematics at SPM/O-Level/IGCSE or equivalent; or
  • Canadian Pre-University (CPU) with minimum average of 50%; or
  • Australian Matriculation (AUSMAT) with minimum average of 60%; or
  • South Australian Matriculation Certificate (SAM) with minimum of 60%; or
  • International Baccalaureate with minimum 24 marks;
  • Victorian Certificate of Education with minimum average of 50%;
  • Ontario Secondary School Diploma with minimum average of 50%; or
  • A qualification that APU accepts as equivalent to the above.

Note:
*Overseas qualification maybe accepted if Mathematics at 12th Grade/ A-Level is comparable to Additional Mathematics at SPM/O-Level. Students can be given preferential entry for Credit in ICT related subject in SPM/O-Level/IGCSE.

**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 or Diploma 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.

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).


Course Structure & Modules:

DEGREE LEVEL 1

Level 1 modules in this program that provide a foundation for any IT professional include System Analysis & Design, Fundamentals of Software Development, and Introduction to Programming in an appropriate language. More technical knowledge and skills are developed in Operating Systems & Computer Architecture and Introduction to Networking. Modules such as Introduction to Management, Computing & IT in the Workplace and Professional & Enterprise Development provide a foundation for multi-disciplinary education and understanding personal and organisational development. Important and relevant skills for independent learning are introduced throughout the program.

Common Modules

Specialised 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
  • Introduction to Artificial Intelligence

Elective Modules (Choose 1)

  • Introduction to Object-Oriented Programming
  • Introduction to C Programming

In addition to the above, all students are also required to successfully complete General Studies modules as stipulated by the Malaysian Qualification Agency, as well as fulfill credit requirements for Co-Curricular Activities.

DEGREE LEVEL 2

Specific technical skills related to Intelligent Systems are developed at this level. AI Methods and Management Science build on previous and lead to further studies in artificial intelligence techniques. Two modules offer an introduction to the concepts associated with data acquisition that are the key to computer automation: Imaging & Special Effects through computer vision and System Programming and Computer Control  through other types of sensors. The emphasis on independent learning continues at this level, and is a particular focus and requirement in Research Methods.

Common Modules

Specialised Modules
  • Object Oriented Development with Java
  • System Development Methods
  • Professional & Enterprise Development
  • Creativity & Innovation
  • Research Methods For Computing & Technology
  • Workplace Professional Communication Skills
  • Employee & Employment Trends 
  • 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

The focus of Level 3 is further development of relevant technical skills and the ability to apply these skills with strong critical thinking and analysis, particularly in the areas of artificial intelligence and computer vision. Knowledge Discovery & Big Data Analytics and Emergent Technology broaden your perspective to include the frontiers of current technology. Option modules allow you to enhance skills developed in previous study of statistical artificial intelligence techniques, visualisation, processing data from sensor networks, and management. General personal and professional development is enhanced in Project Management, while Innovation Management & New Product Development continues the theme of generating new ideas and creating new products.

Common Modules

Specialised Modules
  • Innovation Management & New Product Development
  • Project Management
  • 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)                                                                 
  • Co-Curriculum

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


Careers 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

Functional roles in designing and developing solutions involving Artificial Intelligence and Decision Support, Knowledge Engineering and Data Mining.


Course Fees:

Malaysian StudentsInternational Students

Year 1: RM 27,300
Year 2: RM 28,800
Year 3: RM 29,700
Total: RM 85,800

Year 1: RM 27,600 (USD 6,900)
Year 2: RM 28,900 (USD 7,230)
Year 3: RM 29,900 (USD 7,480)

Total: RM 86,400 (USD 21,610)

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

JPT/BPP(U)1000-801/63/Jld.7(15)(PA4621)06/19
All information is correct at the time of publication, but is subject to change in the interest of continuing improvement.