The Master of Information Systems (Intelligent Systems) nurtures high capability graduates who are capable to design, apply, modify and develop intelligent software products using artificial intelligence. This program exposes students to advanced knowledge to design solution that solves business problems and lead digital strategy and innovation in intelligent computing technologies to fulfill the industry and country aspirations.  The MSc IS provides a solid ground in the core courses of the area, including; Philosophy of Artificial Intelligence, Applied Knowledge-Based Systems, Neural Networks and Applications, Optimization with Natured-Inspired Computing, Seminar in Applied Intelligent Systems, Agent Technology, Advanced Decision Support Systems, Applied Data Mining, Intelligent Security Informatics, Advanced Signal Processing, Advanced Data Networks. Students will have access to the specialist research facilities. This program is taught by prominent researchers in the field. The teaching methodology is varied from lecture, case study, discussion, and hands-on laboratory.  During the last semester, students will carry out a dissertation project supervised by a member of the faculty. MSc IS graduates will have the opportunity to join in careers in the academic field, industrial research or the digital job market as Application System Developer, Intelligent Software Developer, and Data Analyst. The industry which is relevant for the graduates to join include (but not limited to) banking, finance, manufacturing, insurance, and healthcare.


Entry Requirements

Note: Candidate with qualification other than Computing field can be accepted with the condition of taking prerequisite module as an early preparation for their graduate studies.



Semester 1

Advance Information Systems

Research Methods in Computing

Philosophy of Artificial Intelligence

Advanced Decision Support Systems

Applied Knowledge-Based Systems


Semester 2

Neural Networks and Applications

Seminar in Applied Intelligent Systems

Optimization with Natured-Inspired Computing

Shaping Information System Project

Agent Technology

Semester 3

Computing Project

Elective I

Elective II


Elective Courses

Applied Data Mining, Intelligent Security Informatics, ICT Economics, Enterprise System Engineering, Advanced Signal processing , Advanced Data Networks , Image and Video Coding.


Professional Recognition (if any)



Other Recognition (if any)



Mode, Duration and Fees

Mode of Study

Duration of Study

(Full Time)

Duration of Study

(Part Time)

Total Tuition Fee (Local) RM


Tuition Fee (International)



3-4 semesters

4-8 semesters






1. For admission procedure , please refer to

2. For English proficiency (applicable to international applicants) please refer to

3. All fees, charges and accounts will be payable in advance as determined by UiTM from time to time. Students will not be permitted to commence or continue their studies at the beginning of any semester until all outstanding fees, charges or accounts are paid.

4. Fees are correct as at the time of printing. UiTM reserves the right to vary its fees at any time.