CS259 BACHELOR OF INFORMATION SYSTEMS (HONS.) INTELLIGENT SYSTEMS ENGINEERING / SARJANA MUDA SISTEM MAKLUMAT (KEPUJIAN) KEJURUTERAAN SISTEM PINTAR
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.
- A Diploma in Computer Science / Quantitative Sciences / Mathematical Sciences from UiTM with a minimum CGPA of 2.50
OR
- 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
- 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
- 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
- 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
- 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
- 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
- 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.