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Master in Applied Computing (Coursework)

Taylor's University

The Master in Applied Computing (MAC) programme offers high-demand Artificial Intelligence/AI & Data Science specialisations to foster world-class innovators.

Level

master

Duration

1-year (Full Time)

Location

Subang Jaya, Selangor, Malaysia

Tuition Fee

MYR 48,483 (Local - Full Time) / USD 16,106 (International Full Time - Feb, Apr & Sep Intake) / USD 16,393 (International Full Time - Jun & Nov Intake) — total

Intake

February, April, June, September and November

Program Overview

Our Master in Applied Computing programme is designed to foster innovation and nurture future technology leaders. We are committed to developing critical talent for the knowledge economy while strengthening academic-industry partnerships across disciplines.

This prestigious programme prepares you to lead through specialisations in Artificial Intelligence, Data Science, and our newest track in Cybersecurity. Artificial Intelligence explores the complexities of machine learning, deep learning, and natural language processing. Data Science delves into big data analytics, statistical modelling, and data visualisation, while Cybersecurity equips students to design, defend, and respond to evolving digital threats across systems and networks.

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.

Key Modules

  • 1Programme Structure
  • 2Core Modules
  • 3Principles of Programming
  • 4Big Data Management
  • 5Principles of Artificial Intelligence
  • 6Principles of Data Science
  • 7Research Methodology
  • 8Dissertation
  • 9Capstone Project I and II
  • 10Note:
  • 11Artificial Intelligence Specialisation
  • 12Image and Text Processing
  • 13Robotic Automation Using AI Techniques
  • 14Data Analytics and Machine Learning
  • 15Cybersecurity Specialisation
  • 16(New)
  • 17Cybersecurity and Business Risks Management
  • 18Cybersecurity Principles and Practices
  • 19Cyber Crime Prevention and Protection
  • 20Data Science Specialisation
  • 21Data Engineering
  • 22Data Visualisation

Entry Requirements

  • Fulfilling one of the requirements listed below:
  • 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
  • A Bachelor’s degree (Level 6, MQF) in Computing or related fields with a minimum CGPA of 2.00 and not meeting a CGPA of 2.50 can be accepted subject to a thorough rigorous assessment as determined by the HEP; OR
  • Other qualifications equivalent to a Bachelor’s degree (Level 6, MQF) in Computing or related fields recognisedby the Government of Malaysia must fulfil the requirement on item 1 or 2.
  • Application via APEL A is allowed. For the requirements please refer to the index page.
  • A Bachelor’s degree (Level 6, MQF) in Non-Computing field with a minimum CGPA of 2.00 can be accepted subject to a thorough rigorous assessment as determined by the HEP to identify the appropriate prerequisite courses that equivalent to their working experience in Computing or related fields; OR
  • A Bachelor’s degree (Level 6, MQF) in Non-Computing field with a minimum CGPA of 2.00 can be accepted subject to appropriate prerequisite courses.
  • International Students
  • English Requirement: Achieve a minimum of Band 4 in MUET or equivalent to CEFR (Low B2).
  • If Your Bachelor's Degree is 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.
  • : All information is subject to change. Readers are responsible for verifying information that pertains to them by contacting the university.

Career Prospects

  • 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
  • Cybersecurity Specialisation
  • Security Analyst
  • Data Scientist – Cybersecurity Operations
  • Intelligent Cybersecurity Specialists
  • Security Operation Center Manager
  • Cybersecurity Threat Analyst – Data Science
  • Cybersecurity Data Scientist
  • AI Cybersecurity Engineers
  • 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

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