FACULTY OF AI & ROBOTICS
INFORMATION
TECHNOLOGY
Diploma in Information Technology
study pathway
Diploma in Information Technology
MASTER OF COMPUTER SCIENCE
1 - 2 Years / Part Time
DOCTOR OF PHILOSOPHY IN COMPUTER SCIENCE
3 - 6 Years / Part-Time
Diploma in Information Technology
MQA/PA 15623 | KPT/N/0611/4/0011 (07/2027)
The Diploma in Information Technology is offered to cultivate the Information Technology (IT) generation to fit the rapid growth of the IT industry and to fulfil the high demand for its professions in Malaysia and ASEAN in the coming years. The programme aims to provide students with fundamental knowledge, practical application, and problem-solving skills to perform as effective Information Technology practitioners. The students will be able to develop the ability to apply information technology knowledge and skills in analysing, designing and developing information technology solutions.
Programme Length:
2 Years 4 Months
Programme Credit:
90 Credit Hours
Intakes:
January / May / September
Career Opportunities
Diploma in Information Technology
– Data Analyst
– Data Scientist
– Software Developer
– Application Developer
– Information Security Analyst
– Digital Transformation Specialists
– Systems Administrator
– Applications Programmer
Programme Modules
Diploma in Information Technology
– Principles of Computer Programming | – Discrete Mathematics – Operating Systems – Databases – Calculus and Algebra | – Data Communications – Computer Security – Information Technology Essentials – Object Oriented Programming |
– Computer Networks | – Mobile Applications Development – Ethics and Professional Practice in Computing – Internet of Things – Integrity and Anti-Corruption | – Project |
– Professional Attachment |
– Entrepreneurship and Small Business Operation | – Digital Image Processing – UI / UX Design – Gen-AI for Design Exploration – Digital Photography |
*The programme module structure shown on this page is based on Intake A. The module is subject to change.
*The MPU Modules are translated to English. Please visit [here] for the original module name.
Yogendran A/L Govikrishnan
BAI (2024)
Raffles University has not only provided me with top-tier education but also propelled my professional journey forward. With the solid foundation laid by Raffles University, I am now ready to venture into the future of AI and robotics, driven by a passion to push the boundaries of what is possible and inspired to make a meaningful impact on the world.
Entry Requirements
Diploma in Information Technology
i. SPM: Pass with at least 3 Credits in any subjects inclusive of Mathematics or equivalent
ii. O-level: minimum 3 Credits(C) including Mathematics
iii. UEC: Pass with a minimum of Grade B in at least three (3) subjects inclusive of Mathematics
iv. STPM: Pass with a minimum of Grade C (CGPA 2.0) AND a credit in Mathematics at SPM level or its equivalent
v. A-level: Pass with 1 subject (D) AND Credit (C) in Mathematics at SPM level
vi. STAM: Pass with a minimum Maqbul AND a credit in Mathematics at SPM level or its equivalent
vii. SKM Level 3: Pass in related field (Candidates without Mathematics can be admitted subject to a thorough rigorous assessment)
viii. Certificate (MQF Level 3) in related field: minimum CPGA 2.00
ix. Other relevant and equivalent qualifications recognised by the Malaysian Government.
- Candidates can be admitted if their admission qualification contains Mathematics subject (s) equivalent to Mathematics at the SPM level.
- Those without a pass in Mathematics at SPM level or equivalent can be admitted but required to take and pass the reinforcement Mathematics subject. The reinforcement Mathematics subject must be offered in the first semester or before enrolment with unconditional offer. [Not Applicable to International Candidates]
Refer to Note*
- Candidates with a pass in Mathematics at an SPM level or its equivalent may be admitted if their admission qualification contains Mathematics subject(s) equivalent to Mathematics at SPM level.
- Candidates with a pass in Mathematics at SPM level or its equivalent and without a Mathematics subject in their admission qualification need to take and pass the reinforcement Mathematics subject that is equivalent to the SPM level
- If it is not equivalent, reinforcement Mathematics subject that equivalent to the SPM level must be offered in the first semester or before enrolment with unconditional offer
- Candidate with a credit in a Computing-related subject(s) at SPM level or its equivalent may be given preferential consideration.
- [Not Applicable to International Candidates]
Malaysian Student
MALAYSIAN ENGLISH ENTRY REQUIREMENT
No Minimum English Requirement
* A Learning Assistance Session(LAS) (from Week 7 to Week 12) will be provided at no cost if the student fails the English assessment in week 4.
Contact us to receive the latest information about the tuition
fee.
Click here to check the available scholarship.
International Student
INTERNATIONAL ENGLISH ENTRY REQUIREMENT
IELTS: 4.0
TOEFL Essentials (Online): 5
TOEFL iBT: 30-31
PTE: 36
MUET: Band 3
Cambridge English / Linguaskill: 140
*International Students who did not meet the International English Requirement are required to enrol the RU English Preparation Programme (EPP) AND achieve the requirement of any equivalent English qualification.
Application Fee: RM4,500
Admission Fee: RM11,500
Indicative Tuition Fee: RM34, 000
Total Fee: RM50,000
(Approx. USD 11,000)
Contact us to receive the latest information about tuition fees.
Click here to check the available scholarships.
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BACHELOR OF COMPUTER SCIENCE (HONOURS)
IN DATA SCIENCE*
MQA/PA14280 | KPT/N/481/6/0830 (06/2026)
The programme aims to cultivate data scientists equipped with the latest advancements in the computer science industry and research. The programme also seeks to nurture academics with core competencies needed in both computer science and data science. Designed for aspiring data scientists, the curriculum combines fundamental technology principles with advanced topics such as neural networks and data mining. Students will acquire essential skills in advanced statistical analysis and its applications, including Stochastic Analysis, Bayesian Statistics, Experimental Design, Data Analytics, and Time Series Analysis and Forecasting.
*The programme name may be subject to change upon MQA approval.
Programme Length:
3 Years
Programme Credit:
120 Credit Hours
Intakes:
January / May / September
