Data-Driven Approaches to Nutrition Program Design and Impact Evaluation

Program Summary

Start Dates

Duration

Fees

Learning Activities

Course Overview

Leveraging Data & Analytics to Design, Implement, and Evaluate High-Impact Nutrition Programs

Effective nutrition programs require data-driven strategies to address malnutrition, food security, public health, and dietary interventions efficiently. Without accurate data collection, monitoring, and impact assessment, nutrition initiatives risk inefficiency, resource misallocation, and limited impact on target populations.

The Data-Driven Approaches to Nutrition Program Design and Impact Evaluation Program is designed to equip nutritionists, public health professionals, policymakers, NGOs, researchers, and data analysts with the skills to use data analytics, impact assessment methodologies, and digital tools to improve nutrition program outcomes.

This program provides hands-on experience in nutrition program planning, real-time data monitoring, predictive analytics, and outcome-based impact evaluation to help participants develop evidence-based, scalable, and measurable nutrition interventions.

By the end of the program, participants will earn a Data-Driven Nutrition Program & Impact Evaluation Certification, positioning them as leaders in evidence-based nutrition policy and program effectiveness.

What You Will Achieve

1

Master Data-Driven Nutrition Program Design

Learn how to use data analytics, AI, and predictive modeling to design high-impact nutrition programs.

2

Strengthen Impact Measurement & Evaluation

Learn qualitative and quantitative evaluation techniques to assess nutrition program effectiveness.

3

Develop Data-Driven Policy & Decision-Making Skills

Use big data, dashboards, and machine learning tools to optimize nutrition strategies.

Program Curriculum

Module 1

Foundations of Data-Driven Nutrition Program Design

Understand how data informs the design of effective nutrition interventions.
Learn how to develop nutrition frameworks based on global standards (WHO, FAO, UNICEF, WFP).
Explore case studies of successful data-driven nutrition programs worldwide.
Develop a data-centric nutrition program design plan for implementation.

Module 2

Digital Tools & Data Collection Methods for Nutrition Programs

Learn mobile-based data collection (KoboToolbox, CommCare, Open Data Kit) for nutrition surveys.
Explore GIS mapping, satellite imagery, and remote sensing for tracking food security and malnutrition hotspots.
Implement IoT-enabled monitoring of food intake, hydration, and dietary habits.
Develop a data collection framework for real-time nutrition monitoring.

Module 3

Data Analytics & AI in Nutrition Impact Evaluation

Use big data analytics to track and forecast malnutrition trends.
Explore machine learning models for predicting food insecurity and dietary deficiencies.
Understand how predictive analytics improves resource allocation and intervention efficiency.
Develop a machine learning-based impact assessment model for a nutrition program.

Module 4

Monitoring & Evaluation (M&E) of Nutrition Interventions

Learn quantitative (surveys, anthropometry, biomarkers) and qualitative (focus groups, ethnographic studies) evaluation methods.
Implement Randomized Control Trials (RCTs) and cost-effectiveness analysis in nutrition interventions.
Develop dashboards using Power BI, Tableau, and Google Data Studio for real-time program monitoring.
Design an M&E framework tailored to a nutrition initiative.

Module 5

Behavioral Insights, Community Engagement & Data-Driven Nutrition Education

Use data science to understand dietary behaviors and consumer decision-making.
Implement personalized nutrition programs using AI-driven dietary recommendations.
Learn how to apply behavioral economics to improve community-based nutrition initiatives.
Develop a data-informed behavior change strategy for nutrition programs.

Module 6

Policy & Data-Driven Decision Making in Nutrition & Public Health

Understand how data informs policy-making in food security and public health nutrition.
Learn about food policy regulations, dietary guidelines, and nutrition labeling compliance.
Explore open-source data, government databases, and UN reports for policy formulation.
Develop a policy brief using real-world data insights from nutrition programs.

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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