Singapore University of Social Sciences

Supply Chain Information Management and Technology

Supply Chain Information Management and Technology (LOG302)

Applications Open: 01 May 2024

Applications Close: 15 June 2024

Next Available Intake: July 2024

Course Types: Modular Undergraduate Course

Language: English

Duration: 6 months

Fees: $1391.78 View More Details on Fees

Area of Interest: Business Administration, Business Administration, International Trade, Science and Technology

Schemes: Alumni Continuing Education (ACE)

Funding: To be confirmed

School/Department: School of Business


Information-based visibility is crucial to maintain a virtual line-of-sight to product orders and shipments across all stages of the supply chain. Otherwise, blind spots will lead to supply chain inefficiencies. Technologies continue to evolve to capture, store, analyse, share, protect and verify data. Management must decide which technologies to use and how to integrate them into their companies and their key partners. This course provides students with an understanding of the role of information and information technology (IT) in a supply chain. Students will gain insights into the concepts and technologies that enable supply chain managers to use information to make better decisions to boost supply chain performance.

Level: 3
Credit Units: 5
Presentation Pattern: EVERY JULY


  • Role of Information in the Supply Chain
  • Supply Chain Visibility
  • Inventory and Asset Tracking Applications
  • Integrated System Applications
  • Coordinated Logistics Applications
  • Geospatial Applications
  • Data Analytics for the Supply Chain
  • Cloud Computing
  • Enterprise Database Systems
  • Knowledge Management
  • Network and Data Security
  • Block Chain for the Supply Chain

Learning Outcome

  • Show the importance of information and information technology in a supply chain.
  • Apply inventory/asset tracking and integrated system concepts into operations or processes to increase supply chain visibility.
  • Appraise the systems and applications to coordinate and streamline logistics operations.
  • Examine data analytics and cloud computing technologies to improve supply chain performance.
  • Analyse enterprise database and knowledge management solutions to support business and logistics requirements.
  • Propose solutions to protect and verify data in the supply chain.
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