Scaling Nutrition Interventions for Development Impact

Program Summary

Start Dates

Duration

Fees

Learning Activities

Course Overview

Expanding High-Impact Nutrition Programs to Improve Public Health and Food Security

Malnutrition remains a global crisis, affecting over 2 billion people with severe consequences on health, economic productivity, and human capital development. While effective nutrition interventions exist, many fail to scale sustainably, limiting their long-term impact on communities.

The Scaling Nutrition Interventions for Development Impact Program is a high-level, immersive training program designed for public health professionals, policymakers, NGO leaders, agribusiness investors, and nutrition specialists who seek to scale evidence-based nutrition programs for maximum reach and sustainability.

This in-person, hands-on training equips participants with practical frameworks, data-driven strategies, policy advocacy techniques, digital innovations, and impact measurement tools to expand nutrition interventions efficiently and cost-effectively.

By the end of the program, graduates will earn a Scaling Nutrition Interventions & Development Impact Certification, positioning them as leaders in global nutrition policy, program scale-up, and sustainable food system transformation.

What You Will Achieve

1

Master Scaling Frameworks for Nutrition Programs

Learn how to design, fund, and implement scalable nutrition interventions for large-scale impact.

2

Leverage Data & AI for Smarter Nutrition Interventions

Use predictive analytics, digital tracking, and impact evaluation to optimize nutrition outcomes.

3

Strengthen Public-Private Partnerships & Policy Influence

Build collaborations across governments, NGOs, donors, and private sector actors for program expansion.

Program Curriculum

Module 1

Designing Scalable Nutrition Interventions for Sustainable Impact

Learn how to move from pilot projects to large-scale implementation.
Understand scaling frameworks (ExpandNet, WHO Scaling-Up Guidelines, and GAIN’s NutriScale Model).
Explore case studies of successful large-scale nutrition programs across Africa, Asia, and Latin America.
Develop a scalability assessment framework for a nutrition initiative.

Module 2

Funding, Investment, & Financial Models for Scaling Nutrition Interventions

Explore funding mechanisms (grants, impact investment, results-based financing, blended finance).
Understand cost-effectiveness analysis and budget optimization for large-scale nutrition programs.
Learn how to secure funding from major donors like the World Bank, USAID, BMGF, and UNICEF.
Develop a financing strategy and investment pitch for scaling a nutrition program.

Module 3

Public-Private Partnerships & Policy Integration in Nutrition Scale-Up

Learn how to engage governments, multinational food companies, and social enterprises for co-financing and implementation.
Explore how to integrate large-scale nutrition programs into national health and agriculture systems.
Understand the role of corporate social responsibility (CSR) and ESG impact in nutrition expansion.
Develop a multi-stakeholder engagement strategy for a nutrition scale-up initiative.

Module 4

Digital Innovations & AI for Nutrition Program Scaling

Leverage AI-driven nutrition analytics, mobile data collection, and geospatial mapping for program monitoring.
Explore mHealth platforms for maternal and child nutrition interventions.
Implement blockchain for food traceability, supply chain efficiency, and fortification tracking.
Develop a digital transformation roadmap for a nutrition scale-up initiative.

Module 5

Supply Chain & Market-Based Approaches to Nutrition Expansion

Implement market-driven solutions, social franchising, and food fortification programs.
Learn how to scale nutrition programs through agriculture value chains and private sector partnerships.
Understand distribution challenges, cold chain logistics, and sustainable supply models.
Develop a scalable nutrition supply chain strategy for underserved populations.

Module 6

Impact Measurement, Learning, & Continuous Improvement in Nutrition Interventions

Implement Monitoring, Evaluation, and Learning (MEL) frameworks for scaling impact.
Use machine learning for real-time impact tracking and adaptive decision-making.
Learn Randomized Control Trials (RCTs), behavioral insights, and data-driven impact assessments.
Develop a scaling impact measurement framework for a national or regional nutrition program.

Why Study at the Nigerian College of Agribusiness?

No other institution in Africa offers such a comprehensive approach to agribusiness and development sector education as the Nigerian College of Agribusiness. We provide a unique blend of academic rigor, practical expertise, and industry connections. Here, you will learn from experienced faculty members who are experts in their fields and deeply engaged with the latest advancements in their industries.

We leverage interdisciplinary knowledge and the latest research to enhance our programs, ensuring they are relevant and impactful. At NCA, you will continuously engage with thought leaders who are constantly shaping the dynamics of their industries and after graduation, you will be a life-long member of a vibrant alumni community that continually foster cross-disciplinary learning and networking.

Admission Process

STEP 1: Complete the Application for Admission Form for the course

STEP 2: A non-refundable application fee of N20,000 applies and will be deducted from the tuition upon enrollment. This is payable into
Zenith Bank
Account Name: Nigerian College of Agribusiness
Account Number: 1228461510

STEP 3: Attach receipt of Application fee with your highest academic credential and submit to: [email protected]

STEP 4: Upon successful evaluation of your application, you will receive your Admission Letter indicating acceptance into the program. The Letter will also contain details of enrollment into the Course.
Click on the link below to fill the application form for this course

Tuition Fees

Local: N450,000

International Students: $400

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