English language requirements
Overall IELTS score of 6.5 with no band less than 6 (or equivalent). More information is available at www.ielts.org
One year part-time
Current Deakin Students
To access your official course details for the year you started your degree, please visit the handbook
In today’s digital and data-driven world, emerging technologies are increasingly being utilised by savvy industries keen to create business advantage through greater operational efficiencies. The Graduate Certificate of Emerging Technologies for Supply Chain brings together Deakin’s expertise in data analytics, blockchain, and machine learning, as well as supply chain management and logistics, to equip you with the enhanced technical skills required to effectively apply emergent technologies to supply chains.
This course is ideally suited to those with an IT background who are currently working in the supply chain industry and have a desire to upskill by exploring how emerging technologies can enhance the management and operations of supply chains and logistics networks. The course will introduce you to state-of-the-art emergent technologies, including blockchain, machine learning and data analytics, relevant to the industry and demonstrate the application of these technologies through real-world case studies developed in collaboration with the Centre for Supply Chain and Logistics (CSCL).
Want to gain expert skills and advance your career in the industry?
Throughout the course, you’ll explore various software platforms and tools used for large-scale data analysis and have the opportunity to choose studies in machine learning or cyber security management depending on your area of interest. Following completion of this course you will be highly sought after for specialist roles within logistics, supply chain and related industries that require expert skills in data analysis, validation and visualisation; machine learning for automation; and cyber security risk management and mitigation.Read More
To complete the Graduate Certificate of Emerging Technologies for Supply Chain, students must attain 4 credit points (part-time over 1 year) as detailed below.
The course comprises a total of 4 credit points, which must include the following:
- 4 credit points of core units
- completion of STP050 Academic Integrity (0-credit point compulsory unit)
Students are required to meet the University's academic progress and conduct requirements. Click here for more information.
Plus one (1) unit from
2021 course information
This course is approved by the University under the Higher Education Standards Framework.
The award conferred upon completion is recognised in the Australian Qualifications Framework at Level 8.
Campuses by intake
Campus availability varies per trimester. This means that a course offered in Trimester 1 may not be offered in the same location for Trimester 2 or 3. Read more to learn where this course will be offered throughout the year.
Trimester 1 - March
- Start date: March
- Available at:
- Cloud Campus
Trimester 2 - July
- Start date: July
- Available at:
- Cloud Campus
Trimester 3 - November
- Start date: November
- Available at:
- Cloud Campus
INTERNATIONAL STUDENTS – Please note that due to Australian Government regulations, student visas to enter Australia cannot be issued to students who enrol in Deakin’s Cloud Campus.
Mandatory student checks
Any unit which contains work integrated learning, a community placement or interaction with the community may require a police check, Working with Children Check or other check.
You can expect to participate in a range of teaching activities each week, with units requiring on average 150 hours of study per credit point. This could include classes, seminars, practicals, studios and online interaction. You can refer to the individual unit details in the course structure for more information. In additional to scheduled activities, you will need to study and complete assessment tasks in your own time.
- Bachelor degree in related discipline,OR
- Bachelor degree in any discipline AND two years relevant work experience, OR
- Graduate Certificate of Information Technology or equivalent, OR
- evidence of academic capability judged to be equivalent.
Deakin University offers admission to postgraduate courses through a number of Admission categories. To be eligible for admission to this program, applicants must meet the course requirements.
All applicants must meet the minimum English language requirements.
Please note that meeting the minimum admission requirements does not guarantee selection, which is based on merit, likelihood of success and availability of places in the course.
For more information on the Admission Criteria and Selection (Higher Education Courses) Policy visit the Deakin Policy Library
Recognition of prior learning
The University aims to provide students with as much credit as possible for approved prior study or informal learning which exceeds the normal entrance requirements for the course and is within the constraints of the course regulations. Students are required to complete a minimum of one-third of the course at Deakin University, or four credit points, whichever is the greater. In the case of certificates, including graduate certificates, a minimum of two credit points within the course must be completed at Deakin.
You can also refer to the Recognition of Prior Learning System which outlines the credit that may be granted towards a Deakin University degree and how to apply for credit.
Fees and scholarships
Learn more about fees and your options for paying.
The 'Estimated tuition fee' is provided as a guide only based on a typical enrolment of students completing this course within the same year in which they started. The cost will vary depending on the units you choose, your study load, the length of your course and any approved Recognition of Prior Learning you have.
The 'Estimated tuition fee' is calculated by adding together four credit points of study. Four credit points is used as it represents a typical enrolment load for a Graduate Certificate.
Each unit you enrol in has a credit point value. You can find the credit point value of each unit under the Unit Description by searching for the unit in the Handbook.
Learn more about tuition fees.
A Deakin scholarship might change your life. If you've got something special to offer Deakin – or you just need the financial help to get you here – we may have a scholarship opportunity for you.
If you’re a Deakin alumnus commencing a postgraduate award course, you may be eligible to receive a 10% reduction per unit on your enrolment fees.
How to apply
Applications can be made directly to the University through StudyLink Connect - Deakin University's International Student Application Service. For information on the application process and closing dates, see the How to apply web page.
Upon completion of the Graduate Certificate of Emerging Technologies for Supply Chain you could use the credit points you’ve earned to enter into further study, including:
Why choose Deakin
In a ferociously competitive market where businesses are constantly striving to increase profit margins, reduce costs and provide exceptional customer satisfaction as well as secure supply of products and services for systems throughout their lifetime, disruptive technologies like Data Analytics, Machine Learning and Cyber Security offer some excellent opportunities. Graduates of the Graduate Certificate of Emerging Technologies for Supply Chain will be able apply data analytics, machine learning and cyber security skills to analyse and automate a number of mundane tasks that allow the enterprisers to focus on more strategic and impactful business activities.
Course learning outcomes
Deakin's graduate learning outcomes describe the knowledge and capabilities graduates can demonstrate at the completion of their course. These outcomes mean that regardless of the Deakin course you undertake, you can rest assured your degree will teach you the skills and professional attributes that employers value. They'll set you up to learn and work effectively in the future.
Deakin Graduate Learning Outcomes
Course Learning Outcomes
Discipline-specific knowledge and capabilities
Use advanced and integrated knowledge of data analytics and machine learning techniques to guide and manage supply chains that support their successful development, deployment, and operations.
Communicate with technical and non-technical supply chain stakeholders to effectively manage stakeholder expectations and guide the operations including requirements, designs, concepts, plans, management, and progress reporting.
Use digital media to locate, collect and evaluate information from technical channels and apply information to identify approaches and solutions that meet user requirements.
Exercise independent and critical judgement in applying emerging technologies to problems associated with supply chains to locate and address ambiguity and vagueness in arguments, requirements, and proposals to determine if ideas are reasonable, and identify information that may be contradictory, omitted, or not collected.
Apply expert, specialised, knowledge, skills, and techniques to design and implement solutions involving the application of emerging technologies relevant to the management of supply chains.
Critically engage in reflective practice that evidences initiative, autonomy, responsibility, accountability and a continued commitment to self-directed learning, research and skill development personally, academically and professionally associated with emerging technologies.
Engage in professional and ethical behaviour associated with the collection, processing, and presentation of data associated with projects involving emerging technologies relevant to the management of supply chains.
* 2019 Student Experience Survey, based on undergraduate students
# ARWU Rankings 2019
~ According to the Voice Project IT Service Quality Support Benchmark Survey
^ Australian Graduate Recruitment Industry Awards, 2017, 2018, 2019 winner
^^ Australian Graduate Survey 2010–2015, Graduate Outcomes Survey 2016–2019 (GOS), Quality Indicators for Learning and Teaching (QILT)