EXECUTIVE CERTIFICATE ANALYTICS FOR MANAGERIAL DECISION MAKING

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Program Overview

In today’s complex business world, intuition alone is no longer enough. Managers, entrepreneurs, and consultants are surrounded by data but often struggle to harness its full potential. Often, they lack the ability to collect relevant data, mathematical confidence, or certainty about implementation.

Decision-makers frequently fall into cognitive biases such as confusing correlation with causality, taking mental shortcuts, or doubting their speed compared to peers. Reports suggest that “Companies that base their decision-making on data analytics have experienced a 63% increase in productivity, enabling more efficient operations and cost reduction.” Mark Fairlie, Senior Analyst Updated Oct 29, 2024

This certificate is a high-impact, twelve-day intensive program designed to transform the way professionals’ approach, analyze, and act on data. Beyond technical skills, this certificate will develop a structured, strategic mindset, ensuring decisions are clear, effective, and well-communicated.

For technical skills, the program will empower participants with the 4 steps of analytics for decision-making: descriptive, predictive, prescriptive, and generative. These skills will be applied in real-life case study projects at the program’s conclusion, providing practical experience and demonstrating the relevance of data-driven strategies to real-world business challenges, including the integration of generative AI.

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LOCATION

Africa Business School, campus UM6P Rabat

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LANGUAGE

English

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TARGET

Mid to Senior Management at large organizations and institutions.

▪ Entrepreneurs in tech-driven sectors.

▪ Consultants.

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SELECTION PROCESS

Application Review

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INTAKE

26 September 2025

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DURATION

2 days every 3 weeks

What Makes This Program Unique?

This program will empower participants with the 4 steps of analytics for decision making: descriptive, predictive, prescriptive, and generative. These skills will be applied in real-life case study projects at the program’s conclusion, providing practical experience and demonstrating the relevance of data-driven strategies to real-world business challenges, including the integration of generative AI.

What Will You Gain?

Understand the Data You Have & How to Use It

Identify available data sources and select the right tools for each business problem.

Master Analytical Thinking

Go beyond intuition, challenge biases, and avoid common decision-making traps.

Balance Heuristics & Optimization

Learn when to rely on quick thinking and when to apply deep analytical methods for optimal decisions.

Improve Decision Implementation

Gain hands-on experience in applying AI and Operations Research (OR) models to real business cases.

Communicate Insights with Impact

Develop clear, structured storytelling techniques to articulate data-driven conclusions persuasively.

Post-Evaluate Your Decisions

Establish a framework to measure and refine your decision-making over time.

Take Home a Physical Decision Toolkit

A reference guide to reinforce learning long after the training.

Program Structure

1

MODULE 1

FUNDAMENTALS OF AI AND ANALYTICS

AI concepts and their application in decision-making for solving complex business problems.

  • Identify data driven methodologies for specific business challenges.
  • Understand AI principles and applications.
  • Apply AI tools for complex decision making.

2

MODULE 2

DESCRIPTIVE AND DIAGNOSTIC ANALYTICS

Provides fundamentals of probability and statistical methods, essential for data analysis in AI and decision-making.

  • Learn and apply probability theory and statistical methods to analyze data.
  • Understand the role of statistics in AI and machine learning.
  • Develop critical thinking for evaluating data-driven decisions.

3

MODULE 3

MACHINE LEARNING AND PREDICTIVE ANALYTICS

Delves into machine learning (ML) concepts and techniques, including supervised, unsupervised, and reinforcement learning, and their applications.

  • Understand machine learning principles and apply ML algorithms to real-world data.
  • Develop skills in building and deploying machine learning solutions and designing AI Projects.
  • Evaluate machine learning model performance.

4

MODULE 4

OPERATIONS RESEARCH FOR PRESCRIPTIVE ANALYTICS

Explores applications of Operations Research (OR) techniques to determine optimal business strategies and prescribe the best course of action in competitive environments.

  • Modelling market dynamics using core economic concepts like supply and demand, market equilibrium with OR principles.
  • Utilizing decision theory frameworks within OR models to analyze strategic interactions.
  • Applying quantitative OR methods to analyze firm and consumer behavior and prescribe optimal decisions regarding pricing, resource allocation, and competitive strategy.

5

MODULE 5

LEARNING AND ROBUST OPTIMIZATION

Explores decision theory foundations and frameworks including Bayesian analysis for decision making and risk assessment.

  • Learn and apply decision theory and Bayesian frameworks to structure complex decisions, considering uncertainty.
  • Formulate robust optimization problems that account for data uncertainty and parameter ambiguity.
  • Analyze trade-offs between solution optimality, model robustness, and complexity in practical decision scenarios.

6

MODULE 6

CAPSTONE PROJECT – APPLIED AI PROJECT MANAGEMENT

Explores advanced machine learning and robust optimization techniques for resilient decision-making solutions.

  • Apply advanced machine learning methods (e.g., ensembles, deep learning) to enhance predictive accuracy for strategic insights.
  • Analyze ethical dilemmas and biases in AI for managing and driving AI project implementation.
  • Understand AI governance framework.
  • Develop responsible AI practices.

Ready to Transform Your Decision-Making?

Join our Data Analytics & AI for Decision-Making Certificate program starting September 26, 2025 and gain the competitive edge in today’s data-driven business world.