Positives: High standard education
Negatives: Too expensive for the course fees
My advice to future students is: Check for their majors
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 semester 1
Negatives: Too many assignments make it hard for student to focus on the various aspect of advanced analytics. Students are expected to learn everything themselves because even though this is a master's course, the lecturers think it's the best way learning. I.e by solving technical problems themselves.
My advice to future students is: Practice the coding languages taught on a day to day basis. The course provides the students to learn from a wide array of technical expertise, so make sure to pick one technology and stick to it. Understanding the fundamentals is key to success.
|University of Melbourne|
|La Trobe University|
|University of Technology Sydney|
|University of Sydney|
|Western Sydney University|
|University of Queensland|
|Australian Catholic University|
|Australian National University|
|Central Queensland University|
|Edith Cowan University|