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FACULTY OF INFORMATION AND COMMUNICATION TECHNOLOGY (FTMK)
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| Programmes Offered | Mode of Registration | |
| Duration (years) | ||
| Full Time | Part Time | |
| Master of Computer Science (Internetworking Technology) | 1-3 | 2-4 |
| Master of Computer Science (Database Technology) | ||
| Master of Computer Science (Software Engineering) | ||
| Master of Computer Science (Security Science) | ||
| Master of Computer Science (Multimedia Computing) | ||
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Programme Structure
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(i) Master of Computer Science (Programme Core)
| Subjects | Credit Hours |
| Theory of Computation | 3 |
| Advanced Human-Computer Interaction | 3 |
| Advanced Data communication & Networks | 3 |
| Computer Architecture & Compiler | 3 |
| Algorithm Analysis and Design | 3 |
| Project I | 3 |
| Project II | 6 |
| Programme Core Credit Hours | 24 |
(ii) Master of Computer Science (Core Course)
**Student has to choose two core course subjects only for each specialization
| INTERNETWORKING TECHNOLOGY | |
| Subjects | Credit Hours |
| Parallel Processing | 3 |
| Advanced Scalable Internetworking | 3 |
| Advanced Network Design and Diagnostics | 3 |
| Distributed Computing Systems | 3 |
| Advanced High Performance Network | 3 |
| Advanced Mobile Computing | 3 |
| SECURITY SCIENCE | |
| Subjects | Credit Hours |
| Public Key Infrastructure | 3 |
| Computer Forensics | 3 |
| Systems and Networking Hacking | 3 |
| Cryptography and Data Security | 3 |
| Intrusion Detection and Prevention | 3 |
| Security Management Practices | 3 |
| Watermarking | 3 |
| SOFTWARE ENGINEERING | |
| Subjects | Credit Hours |
| Advanced Software Engineering | 3 |
| Artificial Intelligence | 3 |
| Requirement Elicitation | 3 |
| Knowledge Representation & Reasoning | 3 |
| Advanced Topics in Software Intelligent | 3 |
| MULTIMEDIA COMPUTING | |
| Subjects | Credit Hours |
| 3D Modeling | 3 |
| Advanced 3D Animation | 3 |
| Computer Graphics & Visualisation | 3 |
| Advanced Audio and Video Technology | 3 |
| Mobile Application Development | 3 |
| Advanced Web Programming | 3 |
| Multimedia Professional Ethics | 3 |
| Multimedia Based Instructional Design | 3 |
| DATABASE TECHNOLOGY | |
| Subjects | Credit Hours |
| Database Programming | 3 |
| Database Administration Security | 3 |
| Mobile Database |
3 |
| Advanced and Deductive Database Systems | 3 |
| Data Warehousing and Data Mining | 3 |
| Advanced Web Programming | 3 |
| Distributed Database | 3 |
| Current Trend of Database Technology | 3 |
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New Taught Course Programmes
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In 2019, Faculty of Information and Communication Technology offers three (3) new taught course programmes:
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Master of Technology (Data Science and Analytics)
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Master of Software Engineering (Mobile Development)
- Master of Information System
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Programme Structure
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Programme : Master of Software Engineering (Mobile Development)
MQF Level : 7
NEC Field : 481- Computer Science
Mode of Study / Duration : Full-Time (1-2 years) / Part-Time (3-4 years)
Master of Software Engineering (Mobile Development) is designed to meet the demand for highly skilled mobile apps developer and content experts for platforms such as IOS and Android. The programme is meant to equip the students with content design alongside software development skills that can be applied especially in apps development. The programme’s delivery modes are through lectures, lab session, and industrial projects, emphasise on state-of-the-practice techniques, tools and technology, and recognised methodology through university-industry collaborations. Graduates from this programme will have career opportunities as mobile developer, mobile solution architect and many more.
| Section | Course | Credit |
| Compulsory | Research Methodology | 3 |
| University Elective | Entrepreneurship | 3 |
|
Programme Core |
Native Mobile Development I | 3 |
| Internet of Things Development | 3 | |
| User Experience Design & User Interface Practice |
3 |
|
| Mobile Analytic | 3 | |
| Mobile Testing | 3 | |
| Mobile Back-end | 3 | |
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Elective
(choose two only)
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Agile Project Management | 3 |
| Mobile App Architecture | 3 | |
| Native Mobile Development II | 3 | |
| Mobile Security and Privacy | 3 | |
| Master Project I & II | 10 |
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| Total Credit Hours | 40 | |
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Programme Fee
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No. |
Postgraduate Programme |
Study Mode |
Mode of Registration (Year) |
Academic Fee |
||
| Full Time | Part Time | Malaysian (RM) | International (RM) | |||
|
1. |
Master Software Engineering (Mobile Development) |
Taught Course | 1-2 | 2-4 | 11,910.00 | 20,310.00 |
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Programme Structure
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Programme : Master of Technology (Data Science and Analytics)
MQF Level : 7
NEC Field : 482 (Computer use)
Mode of Study / Duration : Full-Time (1-2 years) / Part-Time (3-4 years)
The Master of Technology (Data Science and Analytics) is aimed at recent graduates and industry practitioners from various academic disciplines with strong analytic and computing skills or experiences. The programme is designed to equip students with fundamental and applied knowledge, technical skills, and current technologies in Data Science and Analytics area. These include the fundamental principles of data science, the capability to analyse a diversity of big data, the skills of using data science tools and the capability to apply the data analytics techniques to various domains, as well as the capability to present the analytics results to intended audience. The programme's delivery modes are through lectures, lab sessions, and industrial projects, that emphasize on state-of-the-practice techniques, tools and technology, and recognised methodology through university-industry collaborations.
| Section | Course | Credit |
| Compulsory | Research Methodology | 3 |
| University Elective | Entrepreneurship | 3 |
|
Programme Core |
Fundamental of Data Science | 3 |
| Big Data Management | 3 | |
| Applied Statistical Methods |
3 | |
| Applied Machine Learning | 3 | |
| Big Data Analytics and Visualization | 3 | |
| Modelling and Decision Making | 3 | |
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Elective (choose two only)
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Special Topics in Applied Data Science | 3 |
| Manufacturing Analytics | 3 | |
| Social Media Analytics | 3 | |
| Geospatial Analytics |
3 | |
| Healthcare Analytics | 3 | |
| Tourism Analytics | 3 |
|
| Customer and Financial Analytics | 3 | |
| Master Project I & II | 10 | |
| Total Credit Hours | 40 | |
| Programme Fee |
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No. |
Postgraduate Programme |
Study Mode |
Mode of Registration (Year) |
Academic Fee |
||
| Full Time | Part Time | Malaysian (RM) | International (RM) | |||
| 1. |
Master of Technology
(Data Science and Analytics)
|
Taught Course | 1-2 | 2-4 |
11,910.00 | 20,310.00 |
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Programme Structure
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Programme : Master of Information System
MQF Level : 7
NEC Field : 481 (Computer use)
Mode of Study / Duration : Full-Time (1-2 years) / Part-Time (1.5-4 years)
| Category | Course | Credit |
|
Core University |
Research Methodology | 3 |
| Entrepreneurship | 3 | |
|
Programme Core |
Business Information Systems |
3 |
| Database Systems Management | 3 | |
| Information Systems Project Management |
3 |
|
| Information Systems Development | 3 | |
| Data Center Management |
3 | |
| Data Analytics |
3 | |
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Elective
(choose two only)
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Special Topic in Information System | 3 |
| Configuration Management and Maintanance |
3 | |
| Information Security and Governance | 3 | |
| Healthcare Information System | 3 | |
| Master Project I & II | 10 |
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| Total Credit Hours | 40 | |
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Programme Fee
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|
No. |
Postgraduate Programme |
Study Mode |
Mode of Registration (Year) |
Academic Fee |
||
| Full Time | Part Time | Malaysian (RM) | International (RM) | |||
| 1. |
Master of Information System
|
Taught Course | 1-2 | 1.5-4 |
8,710.00 | 14,710.00 |
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FOR FURTHER INFORMATION
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|
Faculty of Information and Communication Technology (FTMK)
Universiti Teknikal Malaysia Melaka (UTeM),
Hang Tuah Jaya,
76100 Durian Tunggal, Melaka, Malaysia.
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| Telephone : +606-270 2411 Fax : +606-270 1048 E-mail : [email protected] Website : http://ftmk.utem.edu.my/web/ |