MASTER OF APPLIED COMPUTING (BRIDGING MODULE) at Taylor's University

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Taylor's University

Since its establishment in 1969, Taylor University has been providing world-class education and has become the benchmark for other private higher education institutions in Malaysia. Taylor is proud to provide a comprehensive education, which not only brings outstanding academic achievements but also produces graduates with qualities that are popular in the global market. Industry-related learning activities and industry-related courses work closely with related industries and are widely included in all higher education courses. Taylor’s University has been developing and implementing innovative teaching methods related to 21st-century learners to ensure that its students can take advantage of the best educational experience. The university’s pedagogy focuses on cultivating graduates with overall balance; this is done by enhancing the curriculum, expanding industry cooperation, and experiential learning programs

Course Information

Academic Qualification
Master
Duration
2 years
Intake
February, April, June, September, November
English Requirement
6
Class Type
Coursework
Offer Letter
Free

Yearly Tuition Fees

First Year
22,248
MYR
Second Year
30,900
MYR
Total Tuition Fees 53,148 MYR

Other Fees

International Student Enrolment Fee 2,800 MYR
International Student Charge 3,000 MYR
International Student Annual Fee 3,450 MYR
Visa Application Fee 2,190 MYR
International Security Deposit 3,000 MYR
Total Additional Fees 14,440 MYR
Grand Total (All Fees) 67,588 MYR

Course Overview

The Master of Applied Computing (Bridging Module) at Taylor’s University is a specialised pathway designed to provide foundational computing knowledge and skills necessary for students who do not meet the direct entry requirements for the standard Master of Applied Computing programme. This bridging module emphasises core computing concepts and practical proficiencies to prepare students for advanced postgraduate study in computing and technology. :cite

Program Structure: Foundation for Advanced Computing

The bridging module combines essential coursework and practical exercises to equip learners with key technical competencies, preparing them for progression into the full Master of Applied Computing degree. :cite

  • Core Foundation Components
    • Introduction to Programming and Algorithms
    • Fundamentals of Database Systems
    • Computer Systems and Networking Basics
    • Software Development Principles
    • Introduction to Web and Mobile Applications
    • IT Problem Solving and Logical Thinking
    • Computing Project / Practical Assessment
  • Skills Development Focus
    • Applied Programming Techniques
    • Data Handling and Databases
    • Systems Thinking for IT Environments
    • Foundations of Software Engineering

Entry Requirements

Applicants should possess a Bachelor’s degree in any discipline or equivalent qualifications recognised by Taylor’s University, but who require foundational computing preparation to qualify for the standard Master of Applied Computing programme. :cite

Progression Pathway

Successful completion of the bridging module enables progression into the full Master of Applied Computing (Full-Time or Part-Time) programme, where students continue onto advanced computing coursework and projects. :cite

Career Preparation

The module prepares students for postgraduate computing roles by building essential technical skills that support further study and professional practice in software and technology sectors. :cite

  • Software Development Fundamentals
  • IT Support and Systems Assistance
  • Junior Application Developer
  • Database Support Technician
  • Entry-Level Computing Specialist

Program Highlights

  • Bridging Focus: Provides essential computing foundations for postgraduate readiness. :cite
  • Applied Learning: Practical exercises and assessments to reinforce core concepts. :cite
  • Pathway to Master’s: Designed as a preparatory step towards the Master of Applied Computing. :cite
  • Flexible Progression: Supports both full-time and part-time progression options. :cite

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