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James Cook University Subject Handbook - 2023

For subject information from 2025 and onwards, please visit the new JCU Course and Subject Handbook website.

MA5852 - Data Science Master Class 2

Credit points:03
Year:2023
Student Contribution Band:Band 1
Prerequisites:33CP OF POSTGRADUATE SUBJECTS INCLUDING MA5832
Administered by:College of Science and Engineering

Subject Description

    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

Subject Assessment

  • Oral > Presentation 1 - (15%) - Individual
  • Written > Problem task - (40%) - Individual
  • Written > Project report - (45%) - Individual

Note that 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.

Availabilities

JCU Online, Study Period 83, External

Census date:Thursday, 18 May 2023
Study Period Dates:Monday, 08 May 2023 to Friday, 23 Jun 2023
Coordinator(s):
DR Carla Ewels
Lecturer(s):
DR David Donald
Workload expectations:The student workload for this 3 credit point subject is approximately 130 hours.
  • 65 Hours - Online activity - Online resources including readings, screencasts, embedded quizzing
Method of delivery:Online - JCU