The Master of Science (Data Analytics) provides students with the skills necessary for a career in data analytics, which involves data management, analysis, visualisation and interpretation as well as data-driven decision making. From a business perspective, the task of analysing performance and using those analyses to inform decisions about future actions has long played an important role in organisations and, in the past, it was often performed by people with accounting, finance or strategic planning skills. However, a number of trends - the growth of big data; increasingly complex organisations with more specialised functions; increased reporting, auditing, compliance and quality requirements; and more sophisticated analytical tools and techniques - has made data analysis both more important and more complex. Students will graduate with technical skills in the specific and highly sought-after area of data analytics.
This degree is only available as a combined program:
Master of Business Administration (Global)/Master of Science (Data Analytics)
Program learning outcomes
On successful completion of the program students will have:
- Specialised knowledge of statistical and/or computational models, concepts and proficiency in their application
- Specialist knowledge in statistical and/or computational techniques for analysing and interpreting data sets
- Critical thinking and analytical problem solving to support data management, analysis and data-oriented decisions
- Specialised knowledge and skills required to use contemporary Big Data technologies to store, manage, process and analyse large structured or unstructured data sets
- Effective independent and collaborative work skills to apply specialised knowledge and expert judgement to data science
|Information correct as at||30 Jul 2021 5:53 pm|
Level 9 Masters Degree (Coursework)
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Entry into the Master of Business Administration (Global)/Master of Science(Data Analytics) will be available to applicants who have:
- An undergraduate degree (AQF level 7 equivalent), or higher, in a cognate field of study, including data science/analytics, statistics, computer science, engineering, mathematics, information technology, finance, econometrics, or physics.
- Applicants with an undergraduate degree (AQF level 7 equivalent), or higher, in other areas with significant quantitative components, including accounting, business, or commerce will be assessed for entry on a case by case basis.
Minimum English language proficiency requirements
All Applicants must demonstrate that they meet the University’s English proficiency requirement. Further information regarding English language proficiency requirements can be found at the English Language Proficiency for Admission Policy here.
If you wish to apply for credit for studies completed at another institution, or if you are changing programs within the University and wish to transfer your credit to the new program, visit the University's credit website for more information on applying for credit.
Academic requirements for program completion
Total units required
1.5 years full-time or part-time equivalent up to 5 years maximum.
To meet the requirements of this program students must complete the following 120 units:
- 60 units of Core Courses
- 20 units of Directed Courses
- 40 units of Electives
Students are advised to read their program handbook information in conjunction with the program plans for course sequence/enrolment advice. Please refer to the Program Plan for the year that you commenced, or transitioned into, this program - Program Plans are available above.
Advanced course filters
Courses that are currently unavailable are hidden by default. You can show them by adjusting the advanced course filters above, or clicking the 'show all' links below each section.
|Code||Title||Term / Location||Units|
|INFO6001||Database Management 1||10 units|
|STAT6001||Data Wrangling and Visualisation||10 units|
|STAT6020||Predictive Analytics||10 units|
|STAT6100||Systems Thinking for an Integrated Workforce||10 units|
|STAT6160||Data Analytics for Business Intelligence||10 units|
|STAT6500||Data Analytics Project||10 units|
Choose 20 units from the following Directed Courses.
|Code||Title||Term / Location||Units|
|COMP6360||Data Security||10 units|
|GMBA6015||Digital and Social Media Analytics||10 units|
|INFO6002||Database Management 2||10 units|
|INFO6090||Business Intelligence for the Enterprise||10 units|
|INFT6201||Big Data||10 units|
|SENG6110||Object Oriented Programming||10 units|
Complete 40 units of electives to fulfil the requirements of the program. Electives can be used to extend and complement your core studies with more courses in the same field of study, or from areas that might be of interest to you. Electives can be chosen from all courses available at the University that do not have any other conditions (such as a course requisite) applied to them.
Aboriginal and Torres Strait Islander students can draw on the assistance and support provided by the Indigenous Student Support and Development service through the Wollotuka Institute.
All International Students enrolled in the program will be provided with an orientation to familiarise them with the rules, expectations, facilities and services offered by the University. Please visit our International Students website to find out more about the support services available to international students.
AccessAbility provides advice and reasonable adjustments to Students with a medical or health condition or disability. If you require adjustments to undertake your program, contact the Student Support Advisors - AccessAbility before semester or early in the semester. They will work with the College or School to ensure that this happens in a timely manner.
Please note: All students must fulfil the inherent requirements of the programs and courses they are undertaking. While reasonable adjustments can be made, these adjustments cannot compromise academic integrity. It is the student's responsibility to check all the requirements of courses, and consider the effects of any medical condition or disability on their ability to complete course requirements. More information is available online.
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