Course overview
Use and manipulate data to drive real change
Dive into understanding and interpreting complex data, while learning the skills and techniques needed to communicate your findings to various stakeholders in your organisation.
This bootcamp will arm you with practical, hands-on problem-solving skills through units that bring the real world to you. By graduation, you will possess analytical skills to help you navigate future data analytics challenges and prepare for a job in a sought-after industry.
This accelerated course can be completed in as little as six months (full-time) so you can immediately put your learning into practice and be in your dream job sooner.
Learn more with Associate Professor Jim Hogan
6 months full-time or part-time equivalent
Duration
AUD $ 4,700
Estimated Total Fees
Why this course
Gain the essential experience and skills needed to launch your data analytics career in six months.
Flexibility
Part-time or full-time study available to suit your study needs
Job ready
This course has been carefully curated to ensure graduates are job-ready in six months
Networking
Connect with industry through networking events and showcases.
Course units
12 credit points
12 credit points
12 credit points
12 credit points
Entry requirements
You must have one of the following:
6-month program
- A recognised bachelor's degree (or higher qualification) in any discipline
or
- a recognised diploma (or higher qualification) in any discipline followed by at least two years of full-time (or equivalent) professional work experience in an information technology-related field
or
- at least five years of full-time (or equivalent) professional work experience in an information technology-related field.
Course outcomes
Graduates of this bootcamp course will be well-rounded employees, equipped with the practical and theoretical knowledge to thrive in the ever-evolving world of data analytics.
Skills and tools in this course
- Data analysis
- Trend identification
- Communicate data
- Advanced probability
- Agile management of web development projects
Potential career opportunities
Data analyst
Analyse and interpret data to help organisations make informed business decisions.
-
Average Salary
$100,000
-
Industry Job Satisfaction of
4/5
-
Industry Growth
+23.2%
Projected job growth in next 5 years
, 2024
Reporting analyst
Gather and analyse data to guide your organisation in its journey of performance improvement. Reporting analysts are employable in a multitude of industries such as banking, health care and insurance.
-
Average Salary
$110,000
-
Industry Job Satisfaction of
4/5
, 2024
Insights analyst
Insights analysts are tasked with investigating and analysing potential issues faced by an organisation to develop and implement possible solutions.
-
Average Salary
$103,000
-
Industry Job Satisfaction of
5/5
, 2024
Data engineer
Data engineers are computer science experts specialising in developing novel ways to store and access large amounts of data. They design, build and test data architecture tools that change the way businesses access and interpret their stored data.
-
Average Salary
$130,000
-
Industry Job Satisfaction of
4.5/5
, 2024
Click to learn more about the student hub! | Duration 3:53
How online study works
Learn in your own way
Experience the unwavering support of our university as you embark on your online learning journey.
- Flexible and supportive options for your lifestyle
- The easy application and enrolment process
- Alignment with career aspirations
Ready to apply?
Apply for your dream qualification by filling out our application form, or speak with one of our Course Consultants on 1300 104 196 to discover the right study option for you.
Information Technology (IT)
Is a Master’s in Computer Science the right choice for you?
Find out if studying a master in computer science online is the right move for your career. Learn how studying online can offer you new employment opportunities, better pay in the short term, and how more expertise leads to better outcomes over time.
The benefits of earning your computer science degree online
How can you learn computer science effectively while working full-time and balancing other commitments? Find out how QUT has made online study easy.
Lifelong learning in the age of automation
As technology evolves and career pathways change, lifelong learning has become increasingly important. By upskilling for the future of work today, you will set yourself up for a dynamic career in the workplaces of tomorrow.
Frequently asked questions
No, this course does not cover AI or ChatGPT. The primary focus is on foundational data analytics skills, such as Python programming, which are essential for working with real-world data. While AI is a rapidly growing field, this course is designed to equip you with core data manipulation and analysis skills that can serve as a foundation for advanced learning.
No, Excel is not included in this course as it is a proprietary Microsoft product. Instead, the curriculum emphasises Python, a powerful and versatile programming language widely used in data analytics. Python allows for advanced data manipulation, statistical analysis, and visualisation, enabling you to handle more complex datasets and scenarios than traditional spreadsheet tools like Excel. This approach provides a broader and more adaptable skill set for the modern data-driven workplace.
You will use the programming language, Python, as well as Jupyter Notebook, to configure and arrange workflows with your data analysis. Pandas is used to take data analytics further and Git is used to track changes.
Yes, CSPs are available for all Information Technology courses, including bootcamps. CSPs allow domestic students to have a significant portion of their university or higher education fees subsidised by the Australian government.
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If you’re not ready to apply or want to know more before you submit your application, you can request more information by calling us on 1300 104 196 or by completing our enquiry form.
Ready to apply?
Apply online by filling out our application form or speak to a Course Consultant on 1300 104 196.
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