Master of Data Science
Masters Degree (Coursework) (AQF Level 9)
Division of Tropical Environments and Societies
Science and Engineering
Completion of an AQF level 7 bachelor degree; or
Five (5) years or more relevant industry experience in IT or Data Science/Data Analytics; or
Other qualifications or practical experience recognised by the Dean, College of Science and Engineering as equivalent to the above.
Entry requirements for this course are consistent with the Pathways to Qualifications in the Australian Qualifications Framework (AQF level 9) Guidelines for Masters degrees.
Minimum English language proficiency requirements
Applicants of non-English speaking backgrounds must meet the English language proficiency requirements of Band 2 – Schedule II of the JCU Admissions Policy.
Additional admission requirements
Mathematics B (or equivalent that includes algebra and elementary differential calculus) together with some background in computing, data analysis or programming is assumed.
Admission based on relevant industry experience must be supported by a detailed CV and proof of work experience (e.g. a letter from an employer detailing the position and job description).
Special admission requirements
Candidates will need to ensure that they have reliable access to internet services and computing resources.
Computer and internet access are required.
Academic Requirements for Course Completion
36 credit points as per course structure
Course learning outcomes
On successful completion of the Master of Data Science, graduates will be able to:
CORE SUBJECTS (JCU Online)
MA5800:03 Foundations for Data Science
MA5820:03 Statistical Methods for Data Scientists
CP5804:03 Database Systems
*Students who have taken CC5902:03 IoT Communication Systems must select CC5903:03 IoT Edge Devices
*Students who have taken CC5902:03 IoT Communication Systems must select CC5904:03 IoT Security and Cloud Computing
MA5810:03 Introduction to Data Mining
*Students who have taken CC5902:03 IoT Communication Systems must select MA5830:03 Data Visualisation
MA5851:03 Data Science Master Class 1
*Students who have taken CC5902:03 IoT Communication Systems must select CP5805:03 Programming and Data Analytics Using Python
MA5832:03 Data Mining and Machine Learning
MA5840:03 Data Science and Strategic Decision Making for Business
COURSE AVAILABLE AT
This course is 100% online through a carousel delivery model
Expected time to complete
|24 months of continuous study for JCU Online students or equivalent part-time|
Maximum time to complete
Maximum leave of absence
Course progression requisites
Must successfully complete sequence 1 and 2 sequentially before attempting any sequence 3 subjects.
To ensure satisfactory progression a minimum of three subjects must be taken in any 12-month period.
Course includes mandatory professional placement(s)
Course includes mandatory fieldwork
Special assessment requirements
Professional accreditation requirements
Maximum allowed Pass Conceded (PC) grade
Supplementary exam for
Students may apply for a credit transfer for previous tertiary study or informal and non-formal learning in accordance with the Credit Transfer Procedure
Credit may be granted for the following:
Note: If relevant industry experience without qualifications in a quantitative discipline is used to meet entry requirements, that experience will not also be used to give credit.
* Cognate disciplines include data science, computer science, IT, mathematics, statistics, engineering, physics, economics or finance.
12 credit points, except where a student transfers from one JCU award to another, then credit may be granted for any subjects where there is subject equivalence between the awards.
Credit will be granted only for studies completed in the 10 years prior to the commencement of this course.
Credit gained for any subject shall be cancelled 14.5 years after the date of the examination upon which the credit is based if, by then, the student has not completed this course.
Credit will not be granted for undergraduate studies or work experience used to gain admission to the course when assessed separately for admission requirements.
MASTER OF DATA SCIENCE
Inclusion of majors on testamur
Not applicable – this course does not have majors
Exit with lesser award
Students who exit the course prior to completion, and have successfully completed 12 credit points of appropriate subjects, may be eligible for the award of Graduate Certificate of Data Science.
Students who exit the course prior to completion, and have successfully completed 24 credit points of appropriate subjects, may be eligible for the award of Graduate Diploma of Data Science.
Students who complete this course are eligible for entry to the Master of Data Science (Professional), and may be granted credit for all subjects completed under this course.
|Special awards||Where coursework is completed at a grade point average of 6 or above, the Deputy Vice Chancellor, on the recommendation of the College Dean of Science and Engineering may recommend the award of Master of Data Science with Distinction.|