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Master of Science in Information Technology
Key facts
| Qualification | Master's Degree |
| Study mode | Data not available |
| Duration | 2 years |
| Intakes | |
| Tuition (Local students) | Data not available |
| Tuition (Foreign students) | Data not available |
Subjects
-
Information Tech (IT)
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Duration
2 years
Tuition fees
| Description | Local students | Foreign students |
|---|---|---|
| Tuition fee | Data not available | Data not available |
| Miscellaneous fees | Data not available | Data not available |
| Total estimated cost of attendance | Data not available | Data not available |
| Estimated cost per year | Data not available | Data not available |
Estimated cost as reported by the institution. There may be additional administrative fees. Please contact for the latest information.
Every effort has been made to ensure that information contained in this website is correct. Changes to any aspects of the programmes may be made from time to time due to unforeseeable circumstances beyond our control and the Institution and EasyUni reserve the right to make amendments to any information contained in this website without prior notice. The Institution and EasyUni accept no liability for any loss or damage arising from any use or misuse of or reliance on any information contained in this website.
Admissions
Intakes
Entry Requirements
- Applicants must possess a bachelor’s degree in Computer Engineering or Computer Science, or a related field from a recognized university or tertiary institution
Curriculum
- Reasoning and Decision under Uncertainty
- Object-Oriented Software Development of Enterprise Systems
- Multimedia Development
- Data Mining and Knowledge Discovery
- Mobile Application Development
- Computer Networks: An Internet Perspective
- Cryptography and Security
- Object-Oriented Software Development of Enterprise Systems
- Reasoning and Decision under Uncertainty
- Advanced Database Systems
- Recognition Systems
- Digital Forensic and Legal Issues
- Introduction to Big Data
- Advanced Algorithms
- Building Applications for Computational Finance