OVERVIEW


Our Master of Applied Computing programme is designed to cultivate a culture of empowerment and foster innovation. We are committed to developing critical human capital for the knowledge economy and forging strong academic-industry partnerships in collaboration with Taylor's University.

 

This prestigious programme cultivates innovators through specialisations in AI and Data Science. Artificial Intelligence explores the complexities of machine learning, deep learning, and natural language processing, while Data Science delves into the world of big data analytics, statistical modelling, and data visualisation. With only a select cohort admitted each intake, you'll benefit from close mentorship by experienced faculty, going on to drive innovation at research labs and tech firms.

School
Computer Science

Intake Month

February, April, June, September & November

Study Options

Full time or part time

Study Programme

1-year (full time) or 2-year (part time)

Specialisations

Artificial Intelligence & Data Science

Professional Certification

on AI, Data Science and micro-credentials

Interested to know more? Start your journey with us now.

Unsure about your next step? 
 

Book a personalised counselling session from May 13 to 24, and June 9 to 21 (Monday – Saturday, 10AM – 5PM). Explore how the world-class learning environment, exclusive scholarships, and industry network at Taylor's, ranked among Asia’s Top 40 and the World’s Top 1%, help you rise to success.

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PROGRAMME OVERVIEW
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FEES AND SCHOLARSHIPS
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Key Highlights of Master of Applied Computing

SHOW ALL

PROGRAMME STRUCTURE
ENTRY REQUIREMENTS
FUTURE CAREERS

The programme focuses on developing critical reasoning and technical writing skills as well as professional presentation skills which is excellent preparation for seeking careers in software-related computing fields. 

Core Modules

Core Modules

  • Principles of Programming
  • Big Data Management
  • Principles of Artificial Intelligence
  • Principles of Data Science
  • Research Methodology

Dissertation

  • Capstone Project I and II

Note: All information is subject to change. Readers are responsible for verifying information that pertains to them by contacting the university.
Specialisation

Specialisation

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

Note: All information is subject to change. Readers are responsible for verifying information that pertains to them by contacting the university.

Note: 

  • Kindly note that the Master of Applied Computing programme is approved by MoHE as 41 Graduating Credits. However, students can do a double specialisation with 49 Credits as additional credits. The Malaysian Qualification Register of MQA will still reflect as 41 graduating credits as per the approval from MoHE.

Are you ready to take the next step in your academic journey? Our programme offers an exciting opportunity for individuals passionate about the field of Applied Computing. To ensure a smooth admission process, please take note of our entry requirements listed below.

Fulfilling one of the requirements listed below:

  1. 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; OR
  2. 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; OR
  3. 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
  4.  Application via APEL A is allowed. For the requirements please refer to the index page.
  5. 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.
  6. For international students: IELTS 5.5 / TOEFL 60 (Internet Based Test) (May join IEN preparatory course and achieve the IELTS score)

 

International Students

English Requirement: IELTS 5.5 / TOEFL 60 (Internet Based Test) (May join IEN preparatory course and achieve the IELTS score)

 

 

If Your Bachelor's Degree is from a Different Field

  1. 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.

Note: All information is subject to change. Readers are responsible for verifying information that pertains to them by contacting the university.

When you've successfully completed this Master of Applied Computing programme, you could embark on any of these exciting careers, including:

Artificial Intelligence Specialisation

  • AI Researcher
  • Intelligence Specialist
  • Consultant
  • AI Data Analyst
  • Machine Learning Programmer
  • Machine Learning Engineer
  • Robotics R&D Engineer
  • Machine Vision Engineer
  • Artificial Intelligence Analyst
  • Deep Learning Scientist

Data Science Specialisation

  • Data Engineers
  • Data Analyst
  • Business Analyst
  • Data Scientist
  • Chief Technology Officer (CTO)
  • Data Analytics Manager
  • Business Analyst Manager
  • Data Innovation Manager
  • Machine Learning Scientist
  • Business Process Engineer
  • Data Wrangler / Munger / Miner
  • Business Intelligence Manager
  • Analytics & Reporting Manager
  • Decision Analytics Manager

In this section, you get the chance to hear directly from the vibrant voices of our computing school's communities. As a gathering space for insights and stories, we are excited to showcase the experiences and knowledge of our lecturers, students, alumni, and industry partners.

Experience Taylor's University Through the Eyes of Our Students

 

Are you curious about what the Master of Applied Computing programme is like in the eyes of a current student? Our Unibuddy programme is here to connect you with our friendly and knowledgeable student ambassadors. 

 

Why Talk to a Unibuddy?

  • Real Insights: Get honest, firsthand experiences about studying and living here.
  • Personalised Advice: Whether it’s about course workload, best study spots, or student clubs, get the lowdown on what interests you.
  • Diverse Perspectives: Our student ambassadors come from various backgrounds and study different courses. Find someone who shares your interests or challenges!

 

Ask anything you like about studying with us. Our student will get back to you within 24 hours.

Embarking on your journey towards an Master of Applied Computing degree represents an exhilarating advancement in your educational and professional career. We are here to guide you through the application process, ensuring it is as seamless and straightforward as possible. To discover more about the procedure and the documents required, please visit our Admissions website for further information.

Looking for more information?


If you require additional information about the programme, our friendly team is always on hand to assist and answer any queries you may have. Additionally, you can also book a 1:1 appointment with our team for guidance in structuring your preferences and understanding the entry pathways.

Master of Applied Computing

I am Approximate Total Fees (Without Bridging Fees) Approximate Total Fees (With Bridging Fees)
Local Student
MYR 43,973 (Full-Time)
MYR 46,079 (Full-Time)
International Student
USD 13,169 (Full-Time)
USD 13,669 (Full-Time)

We offer scholarships to help brightest minds

reach their fullest potential.

Note: Fees will be reviewed annually. For the avoidance of doubt, Taylor’s reserves the right to revise the fee payable for any given semester.

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