+60142521561
Master of Applied Computing
About
Taylor's University’s Master of Applied Computing cultivates innovation and industry-ready expertise. With specialisations in Artificial Intelligence and Data Science, students explore machine learning, deep learning, big data analytics, and data visualisation. Strong academic-industry collaborations enhance learning, preparing graduates for the evolving digital landscape.
Key facts
| Qualification | Master's Degree |
| Study mode | Full-time, Part-time |
| Duration | 1 year |
| Intakes | February, April, June, September, November |
| Tuition (Local students) | $ 10,147 |
| Tuition (Foreign students) | $ 10,831 |
Subjects
-
Applied Science
-
Computer Science
Duration
1 year
Tuition fees
| Description | Local students | Foreign students |
|---|---|---|
| Tuition fee | $ 10,147 | $ 10,831 |
| Miscellaneous fees | $ 180 | $ 2,954 |
| Total estimated cost of attendance | $ 10,327 | $ 13,785 |
| Estimated cost per year | $ 10,327 | $ 13,785 |
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
Any of these:
- A Bachelor’s degree (Level 6, MQF) in Computing or related fields with a minimum CGPA of 2.50, as accepted by the HEP Senate
- A Bachelor’s degree (Level 6, MQF) in Computing or related fields or equivalent with a minimum CGPA of 2.00 can be accepted subject to a minimum of FIVE (5) years of working experience in the related fields and rigorous internal assessment
- 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 HEP
- Application via APEL A is allowed. For the requirements please refer to the index page.
- Candidates without a qualification in the related fields or relevant working experience must undergo appropriate prerequisite courses as determined by the HEP and meet a minimum CGPA of 2.00 with minimum of FIVE (5) years of working experience in the related fields, and rigorous internal assessment.
English Requirements for International Students:
- IELTS 6.0 / TOEFL 60 (Internet Based Test) (May join IEN preparatory course and achieve the IELTS score)
Bachelor's Degree from a Different Field:
- Students without experience in Computing will have to complete and pass a Bridging module (ITS70102 Fundamentals of IT) before undertaking the core modules of the programme.
Curriculum
- Principles of Programming
- Big Data Management
- Principles of Artificial Intelligence
- Principles of Data Science
- Research Methodology
Dissertation
- Capstone Project I and II
Specialisations:
Artificial Intelligence Specialisation
- Image and Text Processing
- Robotic Automation Using AI Techniques
- Data Analytics and Machine Learning
Data Science Specialisation
- Data Engineering
- Data Analytics and Machine Learning
- Data Visualisation