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Programme Objectives

The programme has the objectives of producing graduates who are able to:

  • demonstrate an understanding of Intelligence Information Systems concept.
  • develop intelligent systems applications using various tools used in industries.
  • identify problems and apply artificial intelligence methods to solve problems in relevant areas.
  • present ideas effectively in written and oral form in proposing the intelligent system applications.
  • work in team to develop intelligent systems applications that would be beneficial to the society and industry.
  • practice ethical values and professionalism in conducting works related to Intelligent Information Systems development with society and industry.
  • encompass data analytics in decision making for life-long learning.
  • demonstrate entrepreneurial skills in marketing their applications.
  • exhibit good managerial and leadership skills.

{slide=Career Opportunities}

Graduates from this programme may be employed as Knowledge Engineer, Systems Analyst, Intelligent Systems Developer, Computer Programmer, Database Administrator, Data Engineer, Data Analysts, Data Modelers, Data Scientist or Technical Specialist, whether in public or private sectors. Other areas are Education, Engineering, Manufacturing, Finance, Transportation and Agriculture.

Admission Requirements

1. A Diploma in Computer Science / Quantitative Sciences / Mathematical Sciences from UiTM with a minimum CGPA of 2.50
OR
2. A Diploma in Computer Science / Quantitative Sciences / Mathematical Sciences from UiTM with a minimum CGPA of 2.00
AND
at least one (1) year working experience in relevant fields
OR
3. Relevant diploma of UiTM from Science and Technology (S&T) with a minimum CGPA of 2.50
AND
Credit in Additional Mathematics at SPM level or its equivalent
OR
4. Relevant diploma from other institutions which are recognized by the Government of Malaysia in Computing with a minimum CGPA of 2.50
AND
Credit in Additional Mathematics at SPM level or its equivalent
OR
5. Relevant diploma from other institutions which are recognized by the Government of Malaysia in Science and Technology (S&T) with a
minimum CGPA of 2.50
AND
Credit in Additional Mathematics at SPM level or its equivalent
OR
6. Asasi UiTM / Asasi Sains UM / KPM Matriculation with a minimum CGPA of 2.00
AND
Credit in Additional Mathematics at SPM level or its equivalent
OR
7. STPM or its equivalent with a minimum CGPA of 2.00
AND
Grade C in any two (2) subjects
AND
Credit in Additional Mathematics at SPM level or its equivalent
OR
8. Pass MQA (Aptitude and Portfolio Assessment Test)
AND
Age 21 years old and above
AND
Seven (7) years working experiences in relevant fields
AND
Pass interview at the faculty level

note: All applicants must pass MUET with minimum score of Band 2

Plan of Study

Semester 1 Year 1
Fundamentals of Computer Science, Fundamentals of Computer Problem Solving, Islamic and Asian Civilization, Preparatory College English, Co-Curriculum I, Calculus I, Applied Probability and Statistics

Semester 2 Year 1
Object Oriented Programming, Principles of Operating Systems, Dynamic Web Application Development, Co-Curriculum II, Fundamentals of Information Systems Development, Introduction to Data Communication and Networking, Linear Algebra I.

Semester 3 Year 2
Fundamentals of Data Structure, Discrete Structure, Sejarah Malaysia, English for Academic Reading, Co-Curriculum III, Fundamentals of Artificial Intelligence, Database Management Systems, Third Language I.

Semester 4 Year 2
English for Academic Reading, Artificial Intelligence Programming Paradigm, Information Systems Engineering, Knowledge Based Systems, Elective I, Elective II, Third Language II.

Semester 5 Year 3
Project Formulation, Intelligent Systems Programming Methodology, Artificial Neural Networks, Fuzzy Logic Systems, Intelligent Decision Making Support Systems, Elective III, Third Language III.

Semester 6 Year 3
Project, Technology Entrepreneurship, IT Project Management, Ethical, Social & Professional Issues, Elective IV.

Semester 7 Year 4
Industrial Training

Elective Course are:
Data Mining, Evolutionary Algorithms, Intelligent Agents, Special Topics in Artificial Intelligence, Introduction to Interactive Multimedia, Algorithm Design and Analysis, Simulation, Network Design and Management, Etika Dalam Perniagaan Islam.