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MA5851 - Data Science Master Class 1

[Offered in odd-numbered years]

Credit points: 3
Year: 2019
Student Contribution Band: Band 2
Administered by: College of Science and Engineering

Data Science is a field that is transforming society finding application in essentially all domains from business, to science and healthcare. It is constantly evolving with new techniques in mathematics, statistics, machine learning and computation/data manipulation continually emerging to extract knowledge and value from data. The Data Science Master Classes will bring in leaders in the field to report recent advances in data science techniques and/or applications of data science.

Learning Outcomes

  • apply data science skills, knowledge and techniques to solve problems in a particular area of focus of the Master Class;
  • understand and apply new data science skills, knowledge and techniques to solve problems in data science;
  • communicate effectively the results of the project both orally and in written form at a career-ready level appropriate for the client.


JCU Online, External, Study Period 86
Census Date 07-Nov-2019
Coordinator: Professor Ronald White
Lecturers: Dr Neil Fraser, Mr Mostafa Shaikh, Mr Mateen Moiz.
Workload expectations:

The student workload for this 3 credit point subject is approximately 130 hours.

  • 65 hours - Online resources including readings, screencasts, embedded quizzing
  • assessment and self-directed study
Method of Delivery: Online - JCU
Assessment: quizzes or tests (20%); assignments (60%); computational laboratories/log book (20%).

Note: Minor variations might occur due to the continuous Subject quality improvement process, and in case of minor variation(s) in assessment details, the Subject Outline represents the latest official information.