Introductory data science and AI for supply chain management
Artificial intelligence (AI) and data science capabilities are increasingly important for building globally competitive companies and resilient supply chains.
This micro-credential is designed and delivered by Dr Jyoti Bhattacharjya and her team of AI and data strategy experts, who will guide participants towards identifying opportunities for implementing AI-based solutions to address their supply chain challenges.
The focus will be on practical AI and data strategy development in the context of common issues in procurement, logistics and distribution. The course will facilitate understanding of opportunities for incorporating generative and predictive AI solutions using real problem scenarios. Participants will be able to reflect on their own unique business contexts, share experiences, and learn from each other. Participants will also get the opportunity for hands-on engagement with state-of-the-art AI-powered platforms that do not require any coding skills.
Upon completing this micro-credential, participants will feel confident about the use of AI in everyday managerial contexts and understand how to approach investment in AI-enabled analytics for supply chain management.
Upon completing this micro-credential, participants will be able to apply their understanding of the following:
- Enterprise data strategies for supporting effective data science and AI capabilities
- Data standards for supply chain management
- AI technologies for supply chain management
- AI opportunities and ROI in supply chain management
- AI strategies for supply chain management
- Generative AI and prompt engineering
- No code AI platforms for supply chain data analytics
- AI ethics, governance and regulation
This micro-credential is designed for business leaders and analytics champions who want to understand the current trends in AI and data science and the practical opportunities for enhancing their supply chain strategies.
The course supports both self-paced learning and learning via participation in live sessions. It will include 42 hours of live online delivery and access to content via the course e-learning site. The live sessions will run on the following dates:
Time (AEST)
Module No |
Hours |
Date |
|
1 |
3 |
Thursday, 5 June 2025 |
17:00 - 20:00 |
2 |
4 |
Saturday, 7 June 2025 |
09:00 - 13:00 |
3 |
6 |
Thursday, 12 June 2025 |
14:00 - 20:00 |
4 |
6 |
Saturday, 14 June 2025 |
09:00 - 15:00 |
5 |
6 |
Saturday, 21 June 2025 |
09:00 - 15:00 |
6 |
3 |
Thursday, 3 July 2025 |
17:00 - 20:00 |
7 |
4 |
Saturday, 5 July 2025 |
09:00 - 13:00 |
8 |
3 |
Thursday, 10 July 2025 |
17:00 - 20:00 |
9 |
4 |
Saturday, 12 July 2025 |
09:00 - 13:00 |
10 |
3 |
Thursday, 17 July 2025 |
17:00 - 20:00 |
The course e-learning site will be used to provide access to recordings of live sessions, other videos, readings, assessment instructions, etc. Participants who opt for self-paced learning will have access to online consultations to help them complete assessment tasks. Live session attendees will receive assistance with assessment tasks during the live sessions.
Standard registrations close on 7 May 2025. For enquiries regarding late registrations, please email mc20@sydney.edu.au
Type of Registration |
Early Bird Registration (until March 31) |
Standard Registration (from April 1) |
Industry professionals/government employees |
AUD 1,755 |
AUD 1,975 |
University of Sydney alumni (work experience required) |
AUD 1,535 |
AUD 1,755 |
2-5 registrations from the same organisation |
AUD 1,425 |
AUD 1,645 |
6 or more registrations from the same organisation |
AUD 1,315 |
AUD 1,535 |
Cancellations: A 10% administration fee will be applied to refunds for any cancellation; no refund will be available for cancellations made after 7 May 2025.
The course will be delivered in online mode.
Please register your interest by completing the Expression of Interest form. Once your submission has been assessed for eligibility, you will receive an email with instructions on how to complete the enrolment process.
Please email mc20@sydney.edu.au if you have any questions.
“Jyoti, Arda, and all other presenters delivered a complex, timely and intriguing subject in an engaging and supportive manner. I thoroughly enjoyed the course curriculum; the excellent moderating of discussion also lead to a great opportunity for learning from other course participants. All course content was delivered in a way that was easily understood and assignments appropriately challenging for maximised learning.”
“I really enjoyed the course. I liked the way it was presented with various speakers. It was very engaging. Coming from a non AI background, the course helped me to learn about the basics of AI platforms and how to use the basics as well as how to incorporate the technology within supply chain management. I would highly recommend this course.”
“This course is cutting edge and very practical. The teaching team was very professional and provided very clear and concise materials. It was great to get real qualifications out of this course that I can use not just in the context of my current employment but for future opportunities. Thanks to all involved.”
“I would recommend the Introductory Data Science and AI for Supply Chain Management micro credential to my peers and connections working in the supply chain domain, regardless of industry. What I liked most about the course is the balance between strategic concepts and practical application using Dataiku. It provides a good foundational understanding of data science in the context of supply chain management which anyone in the profession, regardless of seniority can build upon. I also like the collaboration amongst participants, and the opportunity to present collective work.”
“The course was a good balance of practical demonstration and skills development with AI technologies as well as the supporting education of management practices relating to the developing technology. The course was well supported by a knowledgeable education team and supported collaboration and knowledge sharing by the participants and experts. I would definitely recommend the course to those in supply chain management roles to develop skills and gain a broader perspective on the technology.”
“This course is perfectly designed to provide the basic and high level understanding of the potential AI has to improve the way we operate and how important it is to have a good data and AI strategies for the organization. I loved the way we all interacted with our peers and industry professionals and it was so fascinating to hear all the stories across different industries and organizations. Jyoti, Arda, Tari, and Thomas have been fantastic and amazingly supportive throughout the course and always there for each one of us when we needed help with our assignments and tasks.”
