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The University of Adelaide

Adelaide , South Australia ,Australia

Graduate Certificate in Machine Learning

Pursue an intelligent career

Artificial intelligence (AI) and its component discipline machine learning now present the world’s single greatest commercial opportunity. Research indicates that by 2030 it could increase global GDP by up to 14%—a staggering US$15.7 trillion gain.

Employment prospects are equally outstanding. AI and machine learning appointments worldwide have doubled in the past three years, with demand easily outstripping supply.

The Graduate Certificate in Machine Learning, conducted through the University of Adelaide’s world-renowned Australian Institute of Machine Learning (AIML), will prepare you for an exciting career in this pivotal field.

What will you do?

Our Graduate Certificate in Machine Learning is driven by AIML’s cutting-edge research and extensive industry links, spanning diverse international sectors – from health, medical technology, defence and security to environment and natural resources.  

Comprising a carefully balanced mix of face-to-face intensive courses and online study, this 6-month full-time degree will equip you with:

a suite of technical skills in machine learning and AI application development, including in specialist areas, such as deep learning and visual question answering
broad awareness of the commercial, organisational and research opportunities presented by machine learning and AI
in-depth understanding of the disciplines’ ethical and social considerations.
You’ll also receive mentoring, feedback and direction from AIML’s world-class researchers and high-performing industry professionals.

Where could it take you?

You might develop a solution that constantly monitors a business’s key relationships and predicts how and when to upsell them. Perhaps you’ll help not-for-profits maximise donations through advanced AI modelling of website traffic.

The degree also provides an outstanding foundation for further advanced study, offering credit towards our graduate diploma and master degree in machine learning.

Campus Information

North Terrace

The campus provides a mix of the historical and contemporary, combining old sandstone buildings with state-of-the-art teaching, learning and research facilities.

Intakes

  • Feb
  • July

Application Processing Time in Days: 10

Minimum English Language Requirements

English Level Description IELTS (1.0 -9.0) TOEFL IBT (0-120) TOEFL CBT (0-300) PTE (10-90)
Expert 9 120 297-300 86-90
Very Good 8.5 115-119 280-293 83-86
Very Good 8 110-114 270-280 79-83
Good 7.5 102-109 253-267 73-79
Good 7 94-101 240-253 65-73
Competent 6.5 79-93 213-233 58-65
Competent 6 60-78 170-210 50-58
Modest 5.5 46-59 133-210 43-50
Modest 5 35-45 107-133 36-43
Limited 4 32-34 97-103 30-36
Extremely Limited < 4 < 31 < 93 < 30

Job Opportunity Potential

There are three key steps you will need to take when addressing the selection criteria in any University of Adelaide job application:

  • Create a new document. Your statement addressing the position’s specified selection criteria should be separate from your cover letter and resume.
  • List each criterion separately. Give each a title, using exactly the same wording as appears on the Position Description (e.g. Excellent verbal communication skills).
  • Address each criterion. Under each heading, write two short paragraphs explaining how your experience, skills, education and training equip you to meet that specific requirement. Dot points are also acceptable.

Please note that failing to submit a statement addressing the selection criteria could result in your application not being considered.

Some helpful writing tips
There are a number of steps you can take when putting together your responses to increase their clarity and impact.

  • Give details of one or two specific things you’ve done that are good examples of the relevant experience or knowledge required. For example: ‘I was responsible for organising an event attended by… This involved…'
  • Preface these examples with a short overview that shows you appreciate the relevance of the specific criterion.
  • Quantify your experience (number of years worked, staff supervised, etc.). For example: ‘I delivered a presentation to an industry forum with an audience of 80 people.’
  • Where possible, indicate how successfully you meet the criterion. You could do this by referring to feedback from others, or things you've set up that are still being used. For example: ‘A report I wrote about… was endorsed by the… Committee and circulated to all stakeholders for discussion.

You could also consider using the STAR method as a structural framework when describing examples of your work. This involves describing, in the order listed here, the:

  • situation you faced
  • task required, and desired outcome
  • action you took to complete the task
  • results you achieved, and lessons you learned.

Potential careers
Computational Scientist, Computer Programmer, Computer Scientist, Diagnostic Technician, Digital Strategist, Software Specialist, IT Manager, IT Programmer

PSW Opportunity

NA

Admission Requirement / Eligibility Criteria

Entry to postgraduate coursework programs as a minimum requires a Bachelors degree or equivalent qualification from an approved institution as a qualification for entry.

Some of the graduate certificates and graduate diplomas that are offered may be accepted as qualifying work for entry to a Masters program, or as professional qualifications in their own right.

IELTS Overall 6.5 Reading 6.5 Listening 6.5 Speaking 7 Writing 7

TOEFL Overall 79 Reading 20 Listening 20 Speaking 23 Writing 27
 
Pearson Overall 58 Reading 58 Listening 58 Speaking 65 Writing 65
 
C1 Advanced Overall 176 Reading 176 Listening 176 Speaking 185 Writing 185