Graduate Certificate of Emerging Technologies for Supply Chain
2022 Deakin University Handbook
| Year | 2022 course information |
|---|---|
| Award granted | Graduate Certificate of Emerging Technologies for Supply Chain |
| Course Map | This course map is for new students commencing from Trimester 1 2022. This course map is for new students commencing from Trimester 2 2022. |
| Campus | Offered at Burwood (Melbourne), Online |
| Cloud Campus | Yes |
| Duration | One year part-time |
| Deakin course code | S506 |
| Approval status | This course is approved by the University under the Higher Education Standards Framework. |
| Australian Qualifications Framework (AQF) recognition | The award conferred upon completion is recognised in the Australian Qualifications Framework at Level 8. |
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. | |
Course sub-headings
- Course overview
- Indicative student workload
- Career opportunities
- Mandatory student checks
- Pathways
- Fees and charges
- Course Learning Outcomes
- Course rules
- Course structure
Course overview
In today’s digital and data-driven world, emerging technologies are increasingly being utilised by industries keen to create business advantage through greater operating efficiencies. The Graduate Certificate of Emerging Technologies for Supply Chain brings together Deakin’s expertise in data analytics, blockchain and supply chain logistics to equip you with the enhanced technical skills required to effectively manage 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 of supply networks. The course introduces you to state-of-the-art blockchain technologies relevant to the supply chain industry and demonstrates the application of these technologies through real-world case studies.
Want to gain expert skills and advance your career in the industry?
Developed in collaboration with Deakin’s Centre for Supply Chain and Logistics (CSCL) this course enables you to explore various software platforms and tools used for large-scale data analysis and can choose studies in machine learning or cyber security management, depending on your area of interest.
You’ll graduate in-demand for specialist roles within the 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.
Indicative student workload
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.
Career opportunities
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.
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.
Pathways
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:
Master of Information Technology
Fees and charges
Fees and charges vary depending on your course, the type of fee place you hold, your commencement year, the units you choose and your study load. To find out about the fees and charges that apply to you, visit the Current students fees website or our handy Fee estimator to help estimate your tuition fees.
Tuition fees increase at the beginning of each calendar year and all fees quoted are in Australian dollars ($AUD). Tuition fees do not include textbooks, computer equipment or software, other equipment or costs such as photocopying or travel.
Course Learning Outcomes
| 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. |
| Communication | 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. |
| Digital literacy | Use digital media to locate, collect and evaluate information from technical channels and apply information to identify approaches and solutions that meet user requirements. |
| Critical thinking | 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. |
| Problem solving | 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. |
| Self-management | 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. |
| Teamwork | Not applicable |
| Global citizenship | 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. |
Course rules
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.
Course structure
| STP050 | Academic Integrity (0 credit points) |
| SIT718 | Real World Analytics |
| SIT728 | Blockchain Technologies and Real-World Applications |
| SIT742 | Modern Data Science |
Plus one (1) unit from
| SIT720 | Machine Learning |
| SIT763 | Cyber Security Management |
Further information
Student Central can help you with course planning, choosing the right units and explaining course rules and requirements.
- Contact Student Central