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Graduate Certificate in Data Analytics
Course information for - 2024 entry
Offered at 1 locations
- Duration
- 0.5 year full-time or equivalent part-time
- Fees (first year)*
$11200 Fee-paying
- Start dates
-
Semester 1 intake: Beginning February 2024Applications open August 2023Midyear (Semester 2) intake: Beginning July 2024Applications open April 2024
The Graduate Certificate in Data Analytics is also an Exit Award from the Master of Information Technology
Overview
In a world that runs on the capture and management of data, the Graduate Certificate in Data Analytics will give you insight into the fundamental concepts behind data and databases and the state of the art techniques and technologies required to analyse large volumes of data while introducing you to the real-world applications that can be derived from a thorough understanding of the data at your fingertips.
The Graduate Certificate in Data Analytics teaches units accredited by the Australian Computer Society (ACS) and has Microsoft certifications - Microsoft Azure Data Fundamentals and Microsoft Power Platforms incorporated into the units to ensure you’ll graduate job ready. All our units are also embedded with the United Nations sustainable goals. You can use the graduate certificate as a pathway to our Master of Information Technology and units from this course can also count towards a data analytics specialisation in the MBA.
Course details
Course structure
To complete the Graduate Certificate in Data Analytics, a student must complete 40 credit points (cp).
Course map
Graduate statement
AQF framework
Entry requirements
An applicant must also comply with the Admission to Coursework Programs Policy .
To be eligible for admission to the course, an applicant must have completed the following prerequisites:
- Equivalent of an Australian Bachelor’s degree in any discipline; or
- At least two years’ industry experience in a relevant role.
International students need to meet the English Language Proficiency requirements as defined in the Admission to Coursework Programs Policy .
Disclaimer: The course entry requirements above are for 2024 Admission.
Applicants with higher education study
Students whose first language is other than English need to meet the English Language Proficiency requirements as defined in the Admission to Coursework Programs Policy .
If your previous study has equipped you with knowledge, skills or experiences that align with the learning outcomes of units in your new course you may be able to apply for recognition of prior learning and you may be able to complete your course sooner.
English language requirements
Applicants must have an overall academic IELTS of 6.5 (with an individual score of 6.0 for all tests).
Inherent requirement
There are essential components of a course or unit that demonstrate the capabilities, knowledge and skills to achieve the core learning outcomes of that course or unit. You will need to be able to meet these inherent requirements to complete your course.
Learn more about inherent requirements for your course and how they affect you
Pathways
Further study
The Graduate Certificate in Data Analytics articulates into the Master of Information Technology.
Fees
Course costs
$11200 Fee-paying
All costs are calculated using current rates and are based on a study load of 40 credit points (normally 4 units) per year.
A student’s annual fee may vary in accordance with:
- the number of units studied per semester;
- the choice of major or specialisation; and
- elective units.
The University reviews fees annually.
Payment options
You should be able to concentrate on getting good marks instead of worrying about how you’ll pay your fees. We have a number of options that can help you ease the financial burden, including government assistance, scholarships and income support.
Scholarships
You could be eligible for one of the hundreds of scholarships we award each year to help students from across the university with the cost of studying, accommodation or overseas study opportunities. Some of our scholarships are awarded on the basis of merit, but these aren’t just for the academically gifted; ACU also recognises excellence in community engagement and leadership. We also offer a range of scholarships for those who may be struggling financially or who have faced other barriers to accessing education.
How to apply
Domestic applicants
Direct application
Apply nowDeferment
Deferment is available for one year. Find out more about deferment.
Staff Profile
Associate Professor Haifeng Shen
Associate Professor, Peter Faber Business School
Dr Haifeng Shen is an Associate Professor of Information Technology in the Peter Faber Business School at Australian Catholic University (ACU). Before joining ACU in 2019, he had been a Lecturer/Senior Lecturer in the School of Computer Science, Engineering and Mathematics at Flinders University in Australia since 2009 and an Assistant Professor in the School of Computer Science and Engineering at Nanyang Technological University in Singapore from 2003 to 2009. Dr Shen also has over six years working experience in industry as a software engineer, computer system administrator and programmer before becoming an academic.
Dr Mehdi Rajaeian
Lecturer, Peter Faber Business School
Dr Mehdi Rajaeian leads the Data Analytics stream in the Peter Faber Business School and teaches a variety of IT subjects such as Database Design, Data Analytics & Visualisation, Data Mining and Big Data. He is also engaged with industry through providing IT consultancy services. Dr Rajaeian has 15 years of academic work experience. Before his academic career Dr Rajaeian has worked in IT industry as System Analyst and IT Project Manager. His research interests include data analytics, decision support systems, IT Sourcing Strategies, Technology Adoption, and social and personal impacts of IT. Dr Rajaeian has completed a PhD in Information Systems at University of Southern Queensland, a MBA and a Bachelor of Industrial Engineering at Sharif University of Technology.