Master of Information Technology QUT

4.0 out of 5 from 2 reviews
Ranked #11 in our University Rankings
Masters Degree
Brisbane
2.0 years Full-Time
(or Part-Time equivalent)
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Course Description

Information technology underpins almost every aspect of modern society, from phones to MP3 players to dashboard navigation systems, from ATMs to robotic assembly lines to satellite communication, from online booking systems to banking to instant messaging. Technology is the driver of changes in the twenty-first century and an opportunity for you to shape the future.

The range of majors offered opens opportunities for graduates across the IT sector. There is strong industry demand in traditional areas such as networks, security and enterprise systems, as well as an increase in the need for specialists in the emerging fields of data science and human-computer interaction.

The course aims to prepare students for work in a specialist IT area through a program of study that balances theoretical content, project-based experiences and industry-oriented perspectives. You will critically review current research and apply research methods that are appropriate to IT discipline domains. This course has Provisional Professional accreditation by the Australian Computer Society (ACS). These accreditations are valid for students enrolling until the end of the year.

Majors

Data Science
Enterprise Systems
Security
Computer Science
Business Process Management
Networks
User Experience
Information Management

Careers

Computer Salesperson/Marketer
Computer Scientist
Computer Systems Engineer
Computer-aided designer
Information Officer
Information Security...

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Real-world learning

During your studies, you will experience a range of learning approaches, including:

project-based units requiring you to apply theoretical and t...

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Ratings

Average ratings for Master of Information Technology QUT based on 2 reviews
Rating
4.0
Job prospects
4.0
Teachers
4.0
Course work
3.5
Time worthy
3.5
Money Worthy
3.5



Student Reviews

August 2018
Year completed 2015

Positives: The course prepares students to analyse data using traditional data methods including Data Warehousing, Mining and Advanced Analytics. The course is intensive and prepares the students to face complex situational problems. There is help available from PhD students as well as mentors provided during the start of sem...

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July 2018
Year completed 2018

Positives: High standard education

Negatives: Too expensive for the course fees

My advice to future students is: Check for their majors

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