Available loans
Australian Higher Education Loan Program (HELP)
Total subjects
4
Price
From
$4,000
Study method
100% Online
Assessments
100% online
Credit available
Yes
Applications Close
- No dates available
QS RANKING 2022
35
Times Higher Education Ranking 2022
36
Degree details
Be job ready
Designed to maximise industry relevance, you’ll get plenty of hands-on experience throughout this certificate in data science. Combine your practical learning with comprehensive theory and you’ll be perfectly placed to make your mark in a specialist data analytics role – from the day you graduate.
Gain unique skills
Build a solid foundation in big data analytics – a valuable insight into the tools and methods that’ll help you make sense of the data that shape our world. Then build your personal knowledge platform by diving into fascinating topics, including data mining, data and knowledge engineering, Internet of Things and scientific data analysis.
Get ahead of the trend
You’ll be taught by leading academics who are always in the pursuit of excellence in teaching, research and community engagement. And because this graduate certificate in data science course has been developed in consultation with experts, you’ll tap into cutting-edge information based upon emerging industry trends.
The Graduate Certificate in Applied Data Science is custom-made for professionals who want to move into specialist data analytics roles. The practical applications for data science are limitless – whether you’re keen to develop algorithms for giants like Apple, guide retail marketing strategies for Woolworths or Coles, be the brains behind smart city revolution or delve into sports analytics. Armed with practical skills and the latest knowledge of this dynamic field, you can lead the charge as a data analyst, data scientist, big data architect, or enterprise data architect. Take your career wherever you want to go.
Higher education
Bachelor degree from a recognised tertiary institution
OR
Graduate Certificate in a related area.
Upon successful completion of the Graduate Certificate, students will be eligible for admission to the Master of Information Technology and receive credit for applicable subjects.
Work and Life
Two years relevant work experience
Recognition of prior learning (RPL) and credit for current competencies will be granted to eligible applicants. If you’ve studied before, you may be able to fast-track your postgraduate degree with Recognition of Prior Learning (RPL). If you’ve completed relevant tertiary study, you could be awarded credit for your postgraduate degree. Get in touch to see if you’re eligible for credit based on your previous qualifications or industry experience.
Big data is a big deal. Study data science online at Charles Sturt to capture, analyse and make massive volumes of data meaningful is the invisible backbone that feeds a dynamic organisation’s strategic and operational decisions. Think Netflix, Amazon and Facebook – just for a start. The Graduate Certificate in Applied Data Science from Charles Sturt University will take you behind the curtain and equip you with the skills to extract value from masses of data, then use it to inform decisions – big and small.
Recommended Study Pattern
The course consists of one (1) Core subject and three (3) Restricted Elective subjects.
Core
ITC575 Foundations of Big Data Analytics
Restricted Electives
Choose 3 subjects from
ITC516 Data Mining and Visualisation for Business Intelligence
ITC556 Database Systems
ITC558 Programming Principles
ITC560 Internet of Things
ITC573 Data and Knowledge Engineering
ITC576 Artificial Intelligence and Machine Learning
STA427 Advanced Statistical Modelling
STA448 Multivariate Statistical Analysis
STA501 Scientific Data Analysis
STA508 Experimental Design and Analysis
Award Requirements
As a Charles Sturt University student, throughout your course you have a responsibility to continue to develop skills in English language, literacy and numeracy as appropriate to your discipline. This ongoing development will enable you to effectively participate in your course and graduate prepared to enter the workforce.
To graduate students must satisfactorily complete 32 points.