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Bachelor of Informations Systems (Honours) in Artificial Intelligence

MQA/PA12436 KPT/N/482/6/0194 (02/2025)

Course Information

Mode: Onsite
Duration: 3 Years
Intakes:

Jan, May, Sept
Campus: Raffles University Medini Campus
Type: Full-time Study
Conducted in Malaysia: Yes
Level of Study: Bachelor's Degree Level
Field of Study: Computing & IT
Faculty: Faculty of AI & Robotics
Fees: Refer to Univ. / 82500/Course (international)
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Course Overview

Our Bachelor of Information System (Honours) in Artificial Intelligence is aimed to cultivate an Artificial Intelligence (AI) practitioners with the ability to apply fundamental mathematical knowledge and logic, and scientific and theoretical AI knowledge in analysing, modelling, designing, developing and evaluating AI solutions. This programme covers a few areas of AI with Python programming including machine learning, neural network and deep learning.

Curriculum

PROGRAMME MODULES

Bachelor of Information Systems (Honours) in Artificial Intelligence
Semester 1 Semester 2 Semester 3
– Business Statistics
– Introduction to Computational Thinking
– OOP with Python 1
– Databases
– Operating Systems & Computer Networks

– Critical Thinking
– Algorithms
– Discrete Mathematics
– Introduction to Information Technology
– Neural Network Basics

 – Distributed Databases
– Neural Networks for Machine Learning
– Software Specification & Modelling
– Data Analysis
– Introduction to Image Processing
Semester 1 Semester 2 Semester 3
– U1: Penghayatan Etika dan Peradaban/Malaysia Studies 3
– Statistics for AI
– Deep Learning Fundamentals
– Artificial Intelligence Methods
– OOP with Python 2		 – U1: Falsafah dan isu Semasa /Bahasa Melayu Komunikasi 2
– U3: Malaysian Innovation
– Deep Neural Network Architectures
– UI/UX Design
– Natural Language Processing		 – Intelligent Agents Design
– Data Visualisation
– Knowledge Representation
– Applied Computer Vision

 

Semester 1 Semester 2 Semester 3

– U4: Community Service

– Project I
– IS Strategy, Management & Acquisition
– U2: Creative Thinking / Bahasa Kebangsaan A
– Entrepreneurship and New Business Development

– Project II
– Ethics and IT
– OOP with Python 3
– Deep Learning with Computer Vision
– Law for the Creative Industries

 –  Professional Attachment

*The programme module structure shown on this page is based on Intake A. The module is subject to change.
*The MPU Modules are translated to English. Please visit [here] for the original module name.

 

Entry Requirements

STPM: Grade C (CGPA 2.0) in 2 subjects and Credit in Maths at SPM level

A Level: Full Pass in 2 subjects and Credit in Maths at O level

UEC: Grade B in 5 subjects including Mathematics

Matriculation/ Foundation: CGPA 2.0 and Credit in Maths at SPM level

Recognised Diploma in Computer Science /Software Engineering / Information Technology / Information System:  Minimum CGPA 2.5 and Credit in Maths at SPM level

Any other Diploma in Science and Technology or business studies with a minimum CGPA of 2.5 may be admitted, subject to a rigorous internal assessment process and a credit in Mathematics at SPM level or its equivalent

 

Candidates with CGPA below 2.5 but above 2.0 with a credit in Mathematics at SPM level or its equivalent may be admitted, subject to a rigorous internal assessment process.

Others: Any other equivalent qualification recognised by the Malaysia Government which will be considered on a case by case basis

Career Prospects

– AI Specialist
– Software Analysts and Developers
– Machine Learning Researcher
– Data Scientist
– Algorithm specialists

– Business Intelligence Developer
– Big Data Architect
– Information System Manager
– System Analyst
– Information Security Analyst

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

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