Overview
Throughout the Data Science (Applied) (Online) course from Adelaide University course from Adelaide University you'll learn from content designed by practising industry-leading data scientists who are experts in their respective fields. Cover core topics in data science technologies and best practices to drive organisational change. Apply the principles of big data and data science analysis to tackle real-world challenges. Implement context-aware data analysis, machine learning, and optimisation techniques using industry-standard methods. Evaluate the social and ethical implications of data science to ensure responsible practice. Communicate data insights effectively using advanced analysis, presentation, and visualisation techniques.
You’ll emerge with a comprehensive skill set that combines technical expertise with critical thinking and ethical awareness, preparing you to lead data-driven initiatives across various sectors.
Career opportunities:
You could help an organisation identify opportunities for improved customer relationships through better-targeted service offerings. You might help local educators or health providers analyse information and apply improvements from national and global trends. Perhaps you’ll help the Defence Force refine its deployment processes for international peace-keeping initiatives.
The tech giants like IBM, Amazon and Microsoft hire the most data scientists in the world. With access to massive volumes of data, they are well-placed to innovate AI, automation and machine learning to maintain their competitive advantage.
Insights from big data can lead to major financial benefits, revealing both untapped opportunities and hidden risks. Consultants and financial institutes hire data scientists to help serve clients, automate tasks and enhance cost efficiencies.
Data science jobs in the government sector are growing, as leaders continue to acknowledge the economic, environmental and social benefits that data can offer. Fraud detection, tax compliance, weather prediction, smart cities and intelligence all require specialist skills in data science.
Potential roles you could work in include:
- Management analyst
- Business data analyst
- Data analyst.
Programme Structure
Courses include:
Data Taming, Modelling and Visualisation
Applied Data Science
Applied Data Science and Mathematics
Human and Ethical Factors in Computer Science
Key information
Duration
- Part-time
- 8 months
Start dates & application deadlines
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Language
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Credits
Delivered
Campus Location
- Gawler, Australia
Disciplines
Data Science & Big Data View 26 other Masters in Data Science & Big Data in AustraliaWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
CRICOS code: 04249J
To be eligible, an applicant must have achieved at least one of the following minimum entry requirements and demonstrate they fulfil any prerequisite and essential criteria for admission. In cases where there are more eligible applicants than available places, admission will be competitive with ranks based on the entry criteria.
- A completed bachelor (AQF level 7) degree or equivalent from a recognised higher education institution.
International non-student visa holders
This program is delivered online. It is open to international students who:
It is not available to international students wishing to study in Australia on a student visa.
Tuition Fees
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International Applies to you
Applies to youNon-residents37208 AUD / year≈ 37208 AUD / year -
Domestic Applies to you
Applies to youCitizens or residents37060 AUD / year≈ 37060 AUD / year
Additional Details
per 0.5 of a year
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Data Science (Applied) (Online).
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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