MQA Accredited: MQA/FA8111 | Coursework Master's

Master of Computer Science (Computational Intelligence)

Empowering advanced technology professionals for Industrial Revolution 4.0. Specialize in Artificial Intelligence, Evolutionary Computing, Robotics, Data Analysis, Machine Learning, and Multi-Agent Systems at Universiti Malaysia Sabah.

Program Context & Objectives

The Master of Computer Science (Computational Intelligence) by coursework is designed to prepare graduates with state-of-the-art knowledge and skills required to compete in the rapidly growing field of computer technology related to the adoption of Industrial Revolution (IR 4.0).

The primary objective of the program is to produce highly skilled human resources in Computer Science with specialization in Computational Intelligence—covering Artificial Intelligence, Evolutionary Computing, Robotics, Information Retrieval, and Machine Learning—to support IR 4.0 adoption at national and international levels.

Advanced AI & Analytics

Master Artificial Intelligence Techniques, Advanced Data Mining, Data Analysis & Visualization, and Evolutionary Computing.

Intelligent Systems & Robotics

Focus on Machine Learning, Robotics, Multi-Agent Systems, Information Retrieval, and real-world Capstone CS Projects.

Admission Requirements

MQA Code: MQA/FA8111
1
Direct Admission (Computing Background):

A Bachelor’s degree or equivalent in computing with a minimum CGPA of 2.75.

2
Faculty Internal Assessment Entry:

A Bachelor’s degree or equivalent in computing with a CGPA between 2.50 – 2.74 may be accepted subject to rigorous internal assessment by the faculty.

3
Working Experience Qualification Entry:

A Bachelor’s degree or equivalent in computing with CGPA of 2.00 – 2.49 may be accepted subject to a minimum of 5 years working experience in relevant fields.

4
Non-Computing Graduates Entry:

A Bachelor of Science degree or equivalent in any field other than computing with a minimum CGPA of 3.00 may be accepted provided that the applicant has taken at least 1 prerequisite module in computing.

Senate & Accreditation Compliance: Degrees awarded by local/private higher education institutions must be accredited by the Malaysian Qualifications Agency (MQA). Applicants must also fulfill general English language requirements set by Universiti Malaysia Sabah.

Instant Eligibility Evaluator

Admission Tool
2.80
2.00 2.50 2.75 3.00 4.00

Course Structure (42 Total Credits)

1.5 Years Full-time

4 Compulsory Modules + 1 Specialization Elective Module (Total 15 Credit Hours)

KI50103 Algorithm And Analysis
3 CH
KI50303 Advanced Database Management
3 CH
KI50703 Artificial Intelligence Techniques
3 CH
KI50403 Evolutionary Computing
3 CH
1 Specialization Elective Module Selected
3 CH

3 Compulsory Modules + 2 Specialization Elective Modules (Total 15 Credit Hours)

KI50203 Research Methods In Computer Science
3 CH
KI50503 Advanced Computer And Communication Networks
3 CH
KI50603 Advanced Data Mining
3 CH
2 Specialization Elective Modules Selected
6 CH

Capstone Computer Science Project Module (12 Credit Hours)

KI60112

Computer Science Project

Full semester capstone research & computational intelligence implementation project.

12 CH

Specialization Elective Pool (Select 3 Courses / 9 Credits Total) *3 CH per subject (1 in S1, 2 in S2)

KI70103 Artificial Intelligence And Robotics
KI70203 Data Analysis And Visualization
KI70303 Information Retrieval
KI70403 Machine Learning
KI70503 Multi-agents System
KI70603 Advanced Topics In Computational Intelligence

Full-Time Fee Schedule

Currency: MYR (RM)
Sem Reg. Fee Service Fee Insurance Credit Hours Total (RM)
Sem 1 780.00 1,275.00 25.00 15 CH (RM 5,250.00) 7,330.00
Sem 2 - 1,275.00 - 15 CH (RM 3,150.00) 6,525.00
Sem 3 - 1,275.00 25.00 12 CH (RM 4,200.00) 5,500.00
Grand Total (Full Program) 42 CH RM 19,355.00

Enquiry Form

Enquiry received! FKI Postgraduate admissions will reply via email at tdpa_fki@ums.edu.my.

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