Annual course fee
AUD 51,000
Duration
2 Years
Intake months
January, may, august
Delivery locations
Grand Rapids
Half of the coursework for the degree consists of graduate courses in computer science while the other half consists of graduate courses in statistics. Graduates will be able to store and access data from a variety of sources, process Big Data architecture, apply analytic techniques and algorithms to large and complex data sets, apply data processing and visualization, work in collaborative teams, and communicate effectively. The capstone for the program is a masters project course taken over two terms. In this course the student chooses a problem (topic) in Data Science on which to work under the supervision of a CS and/or STAT faculty member(s). At the end of the first term, the student will turn in a written proposal defining the problem, proposed solution(s), and a complete literature search. In the second term, the student will obtain a solution to the problem and present a written report defining the problem and his/her solution. Examples include an unsolved problem involving data science at a local industry; an unsolved consulting problem involving data science drawn from a research problem at WMU; or an in depth study of a computationally intensive statistical method. Best projects, written in Swerve or Latex, will be submitted for publication in Data Science journals.
You must have successfully completed a United States Bachelors degree (or equivalent overseas qualification) or/with full-time or equivalent work experience in a relevant industry setting. Meeting the minimum academic requirements does not guarantee entry. Your application will still need to be assessed and accepted. If you dont meet the entry requirements, there may be other programs you are eligible for that can lead you to your preferred program.
IELTS 6.5
PTE 54
TOEFL 80
Type of institution
University
On campus accommodation
Not Available
THE rank
1001 - 1200
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