|
This programme is catered towards meeting the much-anticipated growing demand for professionals with expertise in the emerging Industry Revolution 4.0, specifically in the area of the Internet of Things (IoT). The program is designed to focus on the higher-end of the IoT ecosystem stacks; namely Computing & Storage, Apps & Services, and Analytics. In the programme, students will be exposed to IoT infrastructure, device integration, applications and data analytics. Furthermore, the programme also offers some of the value-added components, such as certification and industrialmanship.
|
JPT/BPP (N/482/6/0197) 07/27 MQA/PSA 13935
ENTRY REQUIREMENT
- Pass in STPM and other equivalent qualification with at least Grade C in two (2) subjects and a credit in Mathematics at SPM level or its equivalent;
OR
- Pass in Matriculation / Foundation studies or equivalent with minimum CGPA of 2.00 and a credit in Mathematics at SPM level or its equivalent;
OR
- Pass in UniKL Foundation in Science and Technology with a minimum CGPA of 2.0 and a credit in Mathematics at SPM level or its equivalent;
OR
- Pass in International Baccalaureate (IB) with minimum of 24 points;
OR
- Diploma in Computer Science or Software Engineering or Information Technology or Information Systems or Multimedia or equivalent with a minimum CGPA of 2.50 (candidate with CGPA between 2.00 and 2.50 may be admitted subject to internal assessment process) and a credit in Mathematics at SPM level or its equivalent;
OR
- Any other Diploma in Science and technology or business studies with a minimum CGPA of 2.50 may be admitted subject to a rigorous internal assessment process and a credit in Mathematics at SPM level or its equivalent.
- For international students, TOEFL score of 500 or IELTS score of 5.0 or equivalent is required. If these criteria are not met, PPT must offer English language proficiency courses to ensure that students’ proficiency is adequate to meet program requirements. This is usually done through certain assessment process.
|
| NO |
Programme Educational Outcomes (PEO) |
| PEO1 |
Knowledgeable, competent, and innovative knowledgeable, competent and innovative which will contribute towards the requirement of IoT related industries; |
| PEO2 |
Effective leaders with teamwork skills as well as verbal and non-verbal interpersonal skills to support their roles in IoT related industries; |
| PEO3 |
Committed towards the importance of lifelong learning and continuous improvement in IoT related industries; |
| PEO4 |
Professional, ethical, and socially responsible towards societies; and |
| PEO5 |
Capable of embarking on business and technopreneurial activities. |
|
|
| NO |
Program Learning Outcomes (PLO) |
| PLO1 |
Apply IoT skills and principles of lifelong learning in academic and career development |
| PLO2 |
Communicate effectively with IoT peers, clients, superiors and society at large. |
| PLO3 |
Demonstrate teamwork, leadership, interpersonal and social skills in diverse technical team |
| PLO4 |
Utilise relevant techniques and demonstrate strong analytical and critical thinking skills to solve broadly defined problem in IoT. |
| PLO5 |
Demonstrate professionalism and social and ethical consideration in accordance with ethical and legal principles |
| PLO6 |
Apply broad business and real world perspectives daily and demonstrate entrepreneurial skills. |
| PLO7 |
Demonstrate knowledge of essential facts, concepts, principles and theories relating to IoT |
| PLO8 |
Apply theoretical principles of IoT in relevant practical areas |
| PLO9 |
Design, implementation and manage IoT solutions and resources, and recognise the impact to technology on individuals, organisation and society. |
| SEMESTER |
SUBJECTS |
| Semester 1
|
- Discrete Mathematics for IT
- C Programming
- Computer Organization
- IoT & Society
- Professional English 1
- Fundamental English
- Tamadun Islam & Tamadun Asia (TITAS) (L)
- Bahasa Melayu Komunikasi 2 (I)
|
| Semester 2
|
- Probability and Statistics for IT
- Database Management System
- Network Fundamentals
- Data Science Essentials
- Operating System Administration
- Co-Curriculum
- Hubungan Etnik
- Pengajian Malaysia 3
|
| Semester 3
|
- Internet Programming
- Object-Oriented Programming
- Network Operating System
- IoT Network
- Project Semester 3
- Foreign Language 1
- Isu-isu Kontemporari Muslim
- Culture and Lifestyle
|
| Semester 4
|
- Machine Learning
- IoT Project Management
- IoT Application Security
- Project Semester 4
- Professional English 2
- Foreign Language 2
- *Elective 1
|
| Semester 5
|
- Technopreneurship
- Final Year Project 1
- Data Analytics
- Cloud Computing
- *Elective 2
|
| Semester 6
|
- Final Year Project 2
- DevOps Essential
- *Elective 3
- *Elective 4
- Innovation Management
|
| Semester 7
|
|
| Electives Courses
|
- Data Visualization
- Programming for Data Analytics
- Mobile and Ubiquitous Computing
- Micro Service Administration
- IoT Platform
- Internet of Things
- Network Services Administration
|
TOTAL CREDIT TO GRADUATE (TCG) : 120
CAREER PROSPECT
Based on the anticipated size of business related to the IoT technology locally and globally, it is expected that employability opportunity in this field of technology is compelling. The expertise in the IoT design, IoT development and implementation of innovative applications and products for the IR 4.0 revolution will be very in need. Graduates from this programme will be able to undertake roles such as:
- IoT Developer
- IoT Consultant
- IoT Architect
- IoT Solution Engineer
- Cloud Software Engineer
- Software Development Engineer
- Data Analyst
- Data Scientist
|
