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Overview

Bachelor of Engineering-Software Technology in Computer Software Technology is one of the most favoured degree programs undertaken by students from the Macquarie University, Sydney. The reason for the popularity of this degree course is that it has consistently ranked on reputed global educational platforms.

The course is designed to give fundamental and advanced knowledge in the Computer Software Technology. International students enrolled in a BS Degree in Computer Software Technology at the Macquarie University, Sydney experience quality education and comprehensive hands-on practical learning.

The qualified teachers, high-end classrooms, interactive curriculum, cost-effective tuition fees and merit-based scholarships offer students the opportunity to develop holistically. Overall, graduating with a BS Degree in Engineering-Software Technology at Macquarie University, Sydney will make students job ready.

Why Study Engineering-Software Technology at Macquarie University, Sydney

  • Most preferred by international students
  • Provides enough hands-on learning experience
  • Study in high-end classrooms from experienced teachers
  • An array of internship and work opportunities all customised after course completion to prepare the students for the real world

Course Highlights

Program duration

48 Months

Degree type

Computer Software Technology

Course credits

210


Delivery type

Full time

Delivery medium

On Campus


Tuition fees

Fees mentioned may differ from the actual amount.

Annual tuition fees

A$40,800

Full course fees (48 months)

A$1,63,200

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Deadlines

Application Deadline Term 1 (Final Deadline)

Feb 06, 2023

Application Deadline Term 2 (Final Deadline)

Jul 10, 2023

Pre-Requisities

Application pre-requisites

  • Online Application
  • Passport
  • Transcripts
  • English Language Requirements

Test score requirements

Minimum English Scores

IELTS

6.5

PTE

65

TOEFL

94

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Course Details

Core subject areas

  • Fundamentals of Computer Science
  • Discrete Mathematics I
  • Object-Oriented Programming Practices
  • Algorithms and Data Structures
  • Systems Programming