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Graduate Certificate in Analytics of Medical Imaging Data

An online degree that equips health professionals with specialist data analytics skills.

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Phone: 1300 367 869 (within Australia) or +61 2 4221 3218 (overseas)
Email: future-students@uow.edu.au
Enquiry Form: Submit an enquiry

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Applicants can apply directly to UOW. You may be required to have scans or electronic copies of the following documents ready to attach to your application:

Academic qualifications relevant to your application
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Before you apply, please check the UOW course entry requirements, intake dates, and closing dates for your chosen degree.

Need help?

Contact the UOW Future Students Team:

Phone: 1300 367 869 (within Australia) or
+61 2 4221 3218 (overseas)
Email: future-students@uow.edu.au

Enquiry Form: Submit an enquiry

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For more details about this course

Australia: 1300 367 869. International: +61 2 4221 3218

Student ?

Campus

UOW Online Wollongong

Delivery ?

Distance

Duration

4 trimesters part-time

Starts

Trimester 2 2025
Trimester 3 2026

Code

UOW: 3198

Overview

Developed in collaboration with the Medical Imaging Service of Illawarra Shoalhaven Local Health District (ISLHD), NSW Health, and the University of Wollongong, you will learn to develop strategies for dealing with large volumes of medical imaging data collected through medical imaging technologies. Through this course you will gain the skills and knowledge necessary to become an effective leader in data analytics for this profession.

During the course, you will study four core subjects:

Essential techniques and tools for applied analytics
Introducing medical imaging data for applied analytics
Investigative and diagnostic data analytics for medical imaging
Prescriptive and predictive analytics for medical imaging
This specialist degree introduces and develops real world, authentic and experiential learning. You will examine and gain statistical knowledge using visual analytics technologies specifically designed for applied medical imaging data analytics. Students will construct medical imaging data analysis reports related to big data medical imaging problems as they would in real-world medical environments and facilities.

This course is offered 100% online to suit working professionals, and is a Commonwealth Supported Place (CSP), which means that the total indicative course tuition cost to students is $4656.

See the course handbook for more information.

Successful completion of the Graduate Certificate in Analytics of Medical Imaging Data provides a pathway to the Master of Business Analytics, with credit for three subjects completed during the graduate certificate. Progression to other master’s programs, including the MBA, may be possible with some credit.

Accreditation & professional recognition

Graduates of the Graduate Certificate in Analytics of Medical Imaging Data will be awarded with the SAS Academic Specialisation in Medical Imaging Data Analytics.

The University of Wollongong has been awarded with the prestigious Association to Advance Collegiate Schools of Business (AACSB International) accreditation. Being accredited by AACSB is public recognition that we are among the world's top 6% of business schools - that our curriculum meets the highest standards, our students learn from the best business minds, and that our graduates have the highly sought-after skills, knowledge, and experience that today's global employers are looking for.

Admissions information

A range of admission options are available for future students. The procedures governing admission are defined in UOW's Admissions Procedures, and the UOW College Admissions Policy.

For specific advice or to ask any questions regarding an application, please contact the UOW Future Students Team.

Entry Requirements
Additional information

A Bachelor of Medical Science or Bachelor of Radiology with an equivalent average mark of 50%.

A relevant tertiary academic qualification with a duration of at least three years of equivalent full-time study, plus three years of full-time equivalent professional work experience, may also be considered.

Other tertiary qualifications combined with at least five years of relevant full-time professional work experience will be considered.

Workload
Full-Time Study Load

As a full-time student, you can expect to commit around 48 hours of study per week. This includes class time and independent study. You may need to factor more time for examination study and practical work & placements.

For more details on course workloads, please refer to the UOW Handbook.
Credit for Prior Learning
If you have completed prior studies or relevant professional experience, you can request course credit or subject exemptions to reduce the duration and cost of your program.

Credit for prior learning evaluates your previous study or work experience related to your chosen subjects.

UOW values lifelong learning and recognizes various types of prior learning, regardless of how or where it was obtained. For more information, refer to UOW's Credit for Prior Learning page.

International Course fees table
Campus	Delivery method	Session fee*	Course fee*
UOW Online Wollongong	Distance	Fee not available (2025)	Fee not available (2025)
UOW Online Wollongong	Distance	Fee not available (2026)	Fee not available (2026)

* Session fees are for one session for the year shown. Total course tuition fees shown are indicative, and are based on normal course length and progression. These fees are subject to change from year to year. However, if you receive an offer to study at UOW, your fees will be fully confirmed at the time of your offer.

Tuition fees are reviewing annually: fees payable are dependent on the year of commencement and are subject to increase during the period of study

Additional Fees

In addition to tuition, there are other fees and costs you will need to consider, including but not limited to:

Trimester 2, 2025 at Wollongong, Sydney
Orientation is usually held in the week before the course commences, specific dates will be available at https://www.sydneybusinessschool.edu.au/student/getting-started/orientation
Session: 19 May - 08 August 2025
Applications close:
- Domestic Applicants (Direct): 31 March 2025*
- International Applicants: 24 February 2025*
*Applications must be complete with all required documentation.

Late applications may be assessed for future sessions if an outcome for the requested session is not possible.

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