MASTER OF SCIENCE (INTELLIGENT SYSTEM)
[MSC (INTEL. SYSTEM)]

PROGRAMME DESCRIPTION

PROGRAMME AIM

The aim of the Master of Science in Intelligent System [MSc. (Intel. System)] programme is to produce graduates who are knowledgeable, competitive, principled and skilled in theory and practice of Artificial Intelligence (AI) to deal with an organization’s computing needs.

 

PROGRAMME OBJECTIVE

The objectives of the MSc. (Intel. System) programme are as follows:

  1. To provide graduates with advanced AI computing knowledge and skills
  2. To train graduates to work on a project in which they propose, design, build, test, analyze and deliver an AI computing solution to meet the organization’s needs
  3. To equip graduates with the ability to carry out AI computing research under the supervision
  4. To develop graduates’ effective communication skills and ethical responsibilities

PROGRAMME DESCRIPTION

Students for Master of Science (Intelligent System) by Coursework and Dissertation must possess:

  1. A bachelor’s degree with Honours related to Computing or Science and Technology from Universiti Utara Malaysia or any other institutions of higher learning recognised by the University Senate with a CGPA of at least 2.75; or
  2. A bachelor’s degree with Honours related to Computing or Science and Technology from Universiti Utara Malaysia or any other institutions of higher learning recognised by the University Senate with a CGPA of 2.00 – 2.74 and relevant work experience; and
  3. Fulfil the English language requirements as set by the University Senate.

Students for Master of Science (Intelligent System) by Research must possess:

  1. A bachelor’s degree with Honours related to Computing or Science and Technology from Universiti Utara Malaysia or any other institutions of higher learning recognised by the University Senate with a CGPA of at least 3.00; or
  2. A bachelor’s degree with Honours related to Computing or Science and Technology from Universiti Utara Malaysia or any other institutions of higher learning recognised by the University Senate with a CGPA of 2.00 – 2.99 and relevant work experience; and
  3. Fulfil the English language requirements as set by the University Senate.
COURSEWORK AND DISSERTATIONRESEARCH

Students are required to:

The Master of Science (Intelligent System) programme by coursework and dissertation is a 40-credit-hour programme which comprises the following courses:

CORE COURSES (16 CREDIT HOURS)

STIN5014

Artificial Intelligence

STIN5024

Data Mining

STIN5034

Neural Networks

SZRZ6014

Research Methodology

   

ELECTIVE COURSES (4 CREDIT HOURS)

Choose ONE (1) course from the following list or any other courses approved by the Dean of School of Computing (SOC):

STIN6014

Artificial Intelligence Programming Language

STIN6024

Expert System

STIN6034

Intelligent Agent Development

STIN6044

Intelligent Database

STIN6054

Web-based Intelligent Systems

STIN6064

Natural language Computing

STIN6074

Fuzzy Logic

STIN6084

Generic Algorithm

STIN6094

Swarm Computing

   

DISSERTATION (20 CREDIT HOURS)

STIZ69920

Dissertation

Students are required to:

  1. Present and defend proposed research to a committee;
  2. Present progress report of research work at colloquiums arranged by the Graduate School;
  3. Attend a viva voce session to defend the thesis; and
  4. Submit a written thesis.

Students without sufficient research skills and knowledge are required to attend and pass the following courses with at least a B grade before being allowed to defend their proposal (i.e. within the first two semesters of their enrolment):

  1. STIQ6014 Research Methodology in Computing;
  2. SCLE6014 Academic Writing; and/or
  3. Any other courses as determined by the supervisor or Academic Committee.

Programme Structure

Full-time

Part-time

Minimum

Maximum

Minimum

Maximum

By Research

2 years

(6 semesters)

3 years

(9 semesters)

3 years

(9 semesters)

5 years

(15 semesters)

By Coursework and Dissertation

3 semesters

9 semesters

5 semesters

15 semesters

How to Apply

Apply Online using the link below