Master of Project Innovation
Bond University
CRICOS 0100041 · Provider 00017B
at Bond University · Gold Coast, Queensland
CRICOS course code
116380H
CRICOS provider code
00017B
This course is registered on the Commonwealth Register of Institutions and Courses for Overseas Students. Verify it yourself at cricos.education.gov.au before paying any fee.
Duration
1.5 years
Tuition (whole course)
A$79,900 total
Per year
A$57,706/yr
Intake
Semester 1 (Feb/Mar), Semester 2 (Jul)
The Master of Data Analytics at Bond University is designed to equip students with the advanced analytical skills needed to interpret complex data sets and make data-driven decisions in various organisational contexts. Spanning over 1.5 years, the programme provides a comprehensive understanding of data analytics methodologies, tools, and technologies. Students engage in a mix of theoretical and practical learning experiences, enhancing their problem-solving abilities with real-world applications.
This master's degree is structured around a series of core units that cumulatively build toward a capstone project or research thesis, which allows students to apply their knowledge on a significant data-oriented challenge or inquiry. The programme includes opportunities for work-integrated learning, embedding professional placements into the curriculum, hence ensuring that students gain valuable industry experience alongside their academic studies.
Throughout the course, students will develop a range of key skills such as data mining, predictive analytics, statistical analysis, and effective communication of data findings. This course is particularly suited for individuals with a background in computing, mathematics, or statistics, as well as professionals seeking to deepen their expertise in data analytics and further their careers in this thriving field.
It typically takes 1.5 years, with intakes in Semester 1 (Feb/Mar), Semester 2 (Jul).
Tuition is around A$79,900 total. Fees change yearly — confirm with an advisor.
Data Analyst – employed across various sectors like finance, healthcare, and marketingData Scientist – crucial in tech companies, research institutions, and governmentBusiness Intelligence Analyst – found in corporate settings and consulting firmsQuantitative Analyst – vital in f...
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