Master of Information Technology
Master
3 Semesters / 1 Year
EPF Withdrawal Available
From
RM 2,000.00per
month
month
RM 24,000.00 total tuition fee
Price listed above is applicable to local students only
Why this course
Master of Information Technology is designed to equip students with advanced knowledge, techniques and skills to meet current requirements and needs from the market to solve the real-world problem regarding information technology.
Through this programme, students should be able to progress their career ladder by developing new professional skills in their respective working fields and providing new creations or innovations for the organisations. Our courses such as software design & development and software process and management will be an added value for them to create innovative IT solutions in their chosen areas.
Price listed above is applicable to local students only
- Microsoft Digital Badges - Students obtain blockchain-authenticated badges and certs for modules on top of academic certificate.
- Microsoft content and cloud-based lab is embedded in the courses
- New Curriculum For IR4.0 -Data Science, Cybersecurity & Machine Learning
- Through APEL, take advantage of your prior learning experiences to gain admission, with a further opportunity to reduce your study duration and costs
MOHE/MQA:
(R2/481/7/0158) 01/27 (MQA/FA 1699)
"*" indicates required fields
Course information
Entry Requirements
Programme Entry Requirements
- A Bachelor’s Degree (Level 6, MQF) in computing or related fields , with a minimum CGPA of 2.50 as accepted by the Senate; OR
- A Bachelor’s Degree (Level 6, MQF) in computing or related fields or its equivalent, with a minimum CGPA of 2.00, can be accepted subject to subject to a minimum of FIVE (5) years of working experience in the related fields and rigorous internal assessment ; OR
- Other qualifications equivalent to a Bachelor’s degree (Level 6, MQF) in the field of Computing or related fields recognised by the Government of Malaysia must undergo appropriate prerequisite courses as determined by the UNITAR; OR
- *Candidates without a qualification in the related fields or relevant working experience must undergo appropriate prerequisite courses as determined by the HEP and meet aminimum CGPA of 2.00 with minimum of FIVE (5) years of working experience in the related fields, and rigorous internal assessment.
(*Rigorous internal assessment and their working experiences will determine the appropriate prerequisite courses required for candidates. If the assessment fulfils the requirements, the candidates can be exempted from taking the prerequisite courses)
English Requirements
International Students
- Minimum score of 6.0 for IELTS OR
- Minimum score of 60 for TOEFL iBT OR its equivalent.
Course Structure
Study Mode & Duration
- 3 Semesters / 1 Years
Core Modules
- Analytics for Decision Making
- Big Data Analytics Programming
- Computer Networking
- Cyber Laws and Ethics
- Elective 1
- Elective 2
- Informational Security Architecture and Management
- Project Paper
- Research Methodology
- Software Design and Development
- Software Process and Management
Electives
Cybersecurity
- Cryptography and Internet Security
- Computer Forensics and Investigation
Web Technology
- Internet and Web Technology
- E-Commerce Systems and Strategies
Data Science
- Machine Learning
- Business Intelligence Systems
Career Prospects
- Digital Transformation Officer
- IT Manager
- IT Consultant
- Cybersecurity Consultant
- C-level Executive in Information Technology (CTO/ CIO/ CISO)
- Researchers in public or private institutions on various fields of IT
- Academicians at institutions of higher learning
Programme Learning Outcome
The Programme Learning Outcomes (PLO) of this programme is to prepare graduates who are able to:
- Policies and practices to monitor and prevent unauthorised access, misuse, modification and denial of service of a computer network and resources.
- Programming languages including markup languages and multimedia packages to create applications for the web.
- Methods, processes, algorithms and statistical models that computer systems run to perform tasks without explicit instructions by mimicking human intelligence.
- Giant network of connected devices including wireless sensors, software, actuators and computer devices to improve our work and life.
- To record transactions efficiently in a verifiable and permanent way in regard to potential applications in multiple industries such as the financial industry, governments, identity management and healthcare.
