• info@aiscrglobal.org

ADVANCED INSTITUTE FOR SUPPLY CHAIN RESEARCH (AISCR)

Vocational Training Centre of AISCR (VTC-AISCR)

Prepared for submission to the Ministry of Employment and Vocational Training (MINEFOP), Republic of Cameroon

AISCR L2-D — ADVANCED PROFESSIONAL CERTIFICATE

DIGITAL PROCUREMENT AND SUPPLY CHAIN ANALYTICS

Advanced Institute for Supply Chain Research (AISCR)

Course Description

Provides a comprehensive, competency-based understanding of digital procurement systems and supply chain analytics. Equips participants with the knowledge and practical skills required to lead digital transformation initiatives, build and interpret data-driven dashboards, apply artificial intelligence responsibly to procurement and demand decisions, and manage the data governance and cybersecurity considerations that accompany digital procurement systems.

Course Duration and Credits

Specification Details
Qualification Level Level 2 (Advanced Professional Certificate), AISCR-NPQF
Duration 6 Months, delivered on a blended basis with guided self-directed study
Compulsory Core 5 units, 23 contact days, 33 Credits
Total Credits 33 Credits (fully compulsory, no electives required), within AISCR's standardised 30–40-Credit band for Level 2 Advanced Professional Certificates
Entry Requirements GCE Advanced Level / Baccalaureate or equivalent, or admission by Recognition of Prior Learning (RPL) in accordance with the AISCR Admissions Policy
Delivery Mode Blended — in-person or virtual contact days combined with guided self-directed study, delivered in English and French
Award AISCR Advanced Professional Certificate in Digital Procurement and Supply Chain Analytics

Course Outline

A Compulsory Core of five study units: three existing AISCR Level 1 Professional Certificates cross-listed from Families B and D, plus two newly developed AISCR Level 1 modules (flagged below, pending Academic Board approval). This certificate is already within AISCR's standardised 30–40-Credit band on its compulsory core alone, so no elective requirement applies.

Compulsory Core Units

Core Unit 1 (D2): DIGITAL TRANSFORMATION IN SUPPLY CHAIN AND PROCUREMENT + Click to expand Duration: 4 contact days | Credits: 6 | Notional Learning Hours: 60

Learning Objectives:

By the end of this unit, learners will be able to:

  • Describe key digital transformation trends, including ERP, IoT, blockchain and e-procurement.
  • Assess an organisation's digital readiness against a simple maturity model.
  • Identify quick-win digital transformation opportunities.
  • Support the business case for a digital initiative.
  • Apply change management principles to digital adoption.
  • Evaluate technology vendors and measure digital transformation impact.
Core Unit 2 (B5): SUPPLY CHAIN ANALYTICS AND DIGITALISATION + Click to expand Duration: 5 contact days | Credits: 7 | Notional Learning Hours: 70

Learning Objectives:

By the end of this unit, learners will be able to:

  • Apply data visualisation principles to build spend and performance dashboards.
  • Interpret common procurement and supply chain KPIs.
  • Apply digital analytics tools to a procurement dataset, including data-quality and cleaning basics.
  • Interpret spend analysis reports.
  • Present data-driven recommendations to stakeholders.
  • Use analytics to support sourcing and operational decisions.
Core Unit 3 (B6): ARTIFICIAL INTELLIGENCE FOR PROCUREMENT AND SUPPLY CHAINS + Click to expand Duration: 5 contact days | Credits: 7 | Notional Learning Hours: 70

Learning Objectives:

By the end of this unit, learners will be able to:

  • Describe common AI and machine-learning use cases in sourcing and demand forecasting.
  • Assess criteria for selecting an AI-enabled procurement tool, including data readiness.
  • Apply ethical principles and bias-risk awareness to AI use in procurement decision-making.
  • Evaluate vendor proposals for AI-enabled procurement tools.
  • Identify requirements for human oversight of AI-driven decisions.
  • Describe emerging trends in AI for procurement and supply chain management.
Core Unit 4 (D4): E-PROCUREMENT SYSTEMS ADMINISTRATION, DATA GOVERNANCE AND CYBERSECURITY + Click to expand Duration: 4 contact days | Credits: 6 | Notional Learning Hours: 60 — newly developed AISCR Level 1 module (pending Academic Board approval)

Learning Objectives:

By the end of this unit, learners will be able to:

  • Administer core e-procurement platform functions, including user, workflow and approval configuration.
  • Apply data governance principles to procurement data ownership, quality and retention.
  • Apply cybersecurity fundamentals relevant to procurement systems, including access control and digital-signature authentication.
  • Assess data-privacy obligations applicable to digital procurement records.
  • Investigate and respond to common e-procurement system incidents.
  • Evaluate a procurement system's data-governance and cybersecurity posture against a basic maturity checklist.
Core Unit 5 (D5): PREDICTIVE ANALYTICS AND DEMAND SENSING FOR DIGITAL SUPPLY CHAINS + Click to expand Duration: 5 contact days | Credits: 7 | Notional Learning Hours: 70 — newly developed AISCR Level 1 module (pending Academic Board approval)

Learning Objectives:

By the end of this unit, learners will be able to:

  • Distinguish predictive and prescriptive analytics from descriptive reporting in a supply chain context.
  • Apply demand-sensing techniques that incorporate near-real-time data signals.
  • Build a basic predictive model for a supply chain planning problem using accessible tools.
  • Evaluate model outputs for accuracy, bias and business relevance.
  • Integrate predictive analytics outputs into procurement and inventory decisions.
  • Communicate predictive analytics findings and recommended actions to non-technical stakeholders.

Assessment and Evaluation

Formative Assessment

  • Class participation and attendance (minimum 80% attendance required).
  • Weekly/unit quizzes.
  • Individual assignments.
  • Case study analysis.
  • Practical exercises and simulations relevant to each unit.
  • Portfolio of Evidence (PoE) documenting achievement of each unit's Learning Objectives.

Summative Assessment

Conducted at the end of the training programme to evaluate learners' overall achievement of the course outcomes.

  • Group project and presentation.
  • Applied Digital Procurement Project — design of a digital transformation roadmap, including an analytics dashboard and a data-governance and cybersecurity plan, for a realistic case.
  • Final written examination.

Learning Resources

Recommended Textbooks

  • Competing on Analytics: The New Science of Winning — Thomas H. Davenport and Jeanne G. Harris.
  • Business Analytics: Data Analysis and Decision Making — S. Christian Albright and Wayne L. Winston.
  • Prediction Machines: The Simple Economics of Artificial Intelligence — Ajay Agrawal, Joshua Gans and Avi Goldfarb.
  • The Digital Transformation of Logistics — Mac Sullivan and M. G. Kortenbusch (eds.).
  • ISO/IEC 27001 — Information Security Management Systems (International Organization for Standardization).
  • World Economic Forum, Digital Transformation of Industries: Supply Chain Industry reports.

Supplementary Resources

  • Case studies, including AISCR field material on e-procurement adoption in African public and private institutions.
  • e-Procurement platform demonstrations and sandbox exercises.
  • Sample data-governance and cybersecurity checklists.

Delivery Methods

  • Onsite Training: face-to-face lectures, practical sessions and hands-on training.
  • Online Training: virtual classrooms, webinars, interactive modules and online assessments.

Options & Brochure

Register for the Course
Enquire about this Course
Download PDF

How can we help you?

Contact us for any assistance or questions. 

Contact Us
Back To Top