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Programme Profile

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

• apply knowledge of intelligent systems techniques and related disciplines in application development,
• build intelligent applications software,
• demonstrate social skills and responsibilities for the well-being of the society,
• balance values, accountability and professionalism,
• demonstrate effective communication to lead and engage in diverse teams,
• evaluate intelligent systems issues with solutions using scientific skills,
• manage information and demonstrate lifelong learning skills and
• practice entrepreneurial and exhibit good managerial skills.

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.

Career Opportunities

Among the many job designations that may be filled by graduates of this programme are: Systems Analyst, Intelligent Systems Developer, Computer Programmer, Computer scientist / researcher, Database Administrator,    Data Engineer, Data Analysts, Data Modelers, Data Scientist, Technical Specialist

Admission Requirements

1.

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,  Co-Curriculum I, Calculus I, Applied Probability and Statistics, Introduction to Management

Semester 2 Year 1
Object Oriented Programming, Introduction  to Multimedia,   Curriculum II, Fundamentals of Information Systems Development, Introduction to Data Communication and Networking, Discrete Mathematics, Intermediate, Financial  Accounting  and  Reporting

Semester 3 Year 2

English for Critical Academic Writing, Co-Curriculum III, Fundamentals of Artificial Intelligence, Database Management Systems, Third Language I, Hubungan  Etnik, Foundation   of  Information  Systems, Knowledge Based Systems.

Semester 4 Year 2
English for Professional  Interaction, Artificial Neural Network, Data  Mining,   Fuzzy  Logic  Systems, Elective I, Elective II, Third Language II.

Semester 5 Year 3
Project Formulation, Business Data Analytics,  Evolutionary  Algorithm, Elective III,   Elective IV, Third Language III,  English   Exit Test

Semester 6 Year 3
Project, Technology Entrepreneurship, Computing Project Management,  Social, Ethical & Professional Issues, Special Topic in Artificial  Intelligence.

Semester 7 Year 4
Industrial Training

Elective Course (Intelligent System   Track)
Intelligent Agents, Artificial Intelligence Programming Paradigm, Intelligent Systems  Development,  Introduction  to    Internet  of  Things,  Secure  Internet Working   Technologies,  Human  Computer Interaction.

Elective Course (Big  Data Track)

Programming for Data   Science, Data  Representation & Report Techniques,  Statistics for  Business and  Social  Sciences, Introduction to  Internet  of  Things,  Secure Internet   Working  Technologies, Human Computer  Interaction.