Graduate Certificate in Analytics of Medical Imaging Data

Enquire Apply Now Fees

Course summary

The Graduate Certificate in Analytics of Medical Imaging Data is designed to prepare medical imaging professionals with specialist data analytics skills. Developed in collaboration with the Medical Imaging Service of Illawarra Shoalhaven Local Health District (ISLHD), NSW Health, Australian Health Services Research Institute (AHSRI) 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.

What you will study

You will study four core subjects:

  • Essential Techniques and Tools for Applied Analytics
  • Introducing Medical Imaging Data for Applied Analytics
  • Investigative & Diagnostic Data Analytics for Medical Imaging
  • Prescriptive & Predictive Analytics for Medical Imaging

    • Successful completion of the Graduate Certificate in Analytics of Medical Imaging Data provides a pathway to the Master of Business Analytics, with credit for 3 subjects completed during the Graduate Certificate. Progression to other master’s programs, including the MBA, may be possible with some credit.

    Fee subsidised places available

    UOW is offering Commonwealth Supported Places for all of our postgraduate coursework degrees* in 2024. This means the Australian government will subsidise your tuition fees by up to 75%. To be eligible for this fee subsidy, you must meet the following criteria: Be a domestic student, i.e. an Australian or New Zealand citizen, a permanent resident of Australia or a permanent Australian Humanitarian visa holder. LEARN MORE
    *Excluding Graduate Certificate in Business Administration (Executive), Graduate Diploma in Business Administration (Executive), and Masters of Business Administration (Executive)

    Course information

    Study area

    Business, Health

    Campus

    UOW Online Wollongong

    Course Code

    3198

    ATAR-SR

    -

    Duration

    4 Trimesters part-time only

    Delivery

    Distance

    Cricos

    UAC Code

    -

    Admission, Key dates, and Fees

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

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

    ENTRY REQUIREMENTS

    Bachelor of Medical Science, or Bachelor of Radiology, or equivalent. Those with a relevant tertiary academic qualification with a duration of at least 3 years of equivalent full-time study, plus 3 years full-time equivalent professional work experience may also be considered.

    Other tertiary qualifications combined with at least 5 years of relevant fulltime professional work experience will be considered.

    FEES

    CAMPUS

    DELIVERY METHOD

    SESSION FEE*

    COURSE FEE*

    UOW Online Wollongong

    Distance

    $16,344 (2024)

    $16,344 (2024)

    The above tuition fee is the amount payable for a full fee-paying place. UOW is offering Commonwealth Supported Places for all of our postgraduate coursework degrees* in 2024. This means the Australian government will subsidise your tuition fees by up to 75%. LEARN MORE
    *Excluding Graduate Certificate in Business Administration (Executive), Graduate Diploma in Business Administration (Executive), and Masters of Business Administration (Executive)

    * 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.

    This program is not available to international applicants.

    Admission Profile


    INDICATIVE ENROLMENT


    STUDENT PROFILE

    This table shows the breakdown of the applicant background of the student group at UOW for this course. It provides data on students that commenced undergraduate study and continued study beyond the census date at UOW in 2023.

    Applicant background

    2023 intake

    2023 intake (%)
    Higher education study Students who have studied a University course, or completed a bridging or enabling course.

    -

    -
    Vocational education & training study Students who have undertaken vocational education or training since leaving school.

    -

    -
    Work & life experience Students admitted on the basis of previous achievement other than higher education study, vocational education & training, or recent secondary education.

    -

    -

    Recent secondary education
    ATAR Only Students admitted only on the basis of ATAR including any applied adjustment factors.

    -

    -
    ATAR plus additional criteria Students who were admitted on the basis of both ATAR and additional criteria (e.g. an audition or individual subject results).

    -

    -
    Other criteria only (non-ATAR) These students were admitted on the basis of other criteria where ATAR was not a factor (e.g. UOW Early Admission).

    -

    -
    International students All other students.

    -

    -
    All students

    -

    -
    < 5: Number of students is less than 5
    N/A: Data not available for this item
    N/P: Not published (hidden to prevent calculation of other numbers less than 5)

    ATAR PROFILE

    This table relates to all students selected on the basis of ATAR alone or ATAR in combination with adjustment factors. For more information on adjustment factors commonly available to applicants, see ‘ATAR-based admission’.

    ATAR profile of ATAR-based offers in 2023

    		 ATAR The unadjusted, raw ATARs for students offered a place wholly or partly on the basis of ATAR. Selection Rank The ATARs of the same student group, including the impact of adjustment factors.
    Highest rank to receive an offer

    -

    -
    Median rank to receive an offer

    -

    -
    Lowest rank to receive an offer

    -

    -
    < 5: Less than 5 ATAR-based offers made
    N/A: Data not available for this item
    N/P: Not published (less than 5 ATAR-based offers made)

    More Information

    For more information about UOW admission pathways, see UOW Admission Information.

    Key Dates

    SESSION

    CAMPUS

    SESSION DETAILS

    2024 Trimester 2

    UOW Online Wollongong

    Orientation: 8 May 2024
    Session: 13 May – 2 August 2024

    Applications Close

    • Domestic Applicants (Direct): 31 March 2024*
    • International Applicants: This course is not available to international applicants.

    *Complete applications (with all required documentation) received by these dates will receive an outcome prior to the start of session.

    Applications received after these dates will continue to be assessed until 3 weeks prior to session (international), and start of session (domestic). Late applications may be assessed for future sessions if an outcome for the requested session is not possible.

    Course Structure

    (Current year structure - subject to change)

    Course Handbook

    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.

    Why choose this course

    This specialist degree introduces and develops 'real world', authentic and experiential learning. Students examine and learn statistical learning 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/facilities.