Professional Mini-Master in Advanced Analytics and Decision Intelligence

Program facts

Study fee

Free

subjects

5

lessons

15

Estimated time

25.5 hours

Content last reviewed

21 October 2026

Access period

60 days

Study language

Arabic and English

About the program

The program turns advanced analytics into an integrated decision system. You frame the question and measure, test causal effects, evaluate probabilistic forecasts, optimize under constraints and operate the decision with monitoring, escalation and retirement. Cases are fictional and require neither proprietary data nor production coding.

Practical relevance

Learners produce reviewable decision records, assumption graphs, loss matrices, constraint models and monitoring plans.

Why this program

A model can be accurate without improving a decision, and a numerical optimum can be infeasible or unfair. The program covers the full loop from evidence to action and outcome.

Career relevance

Relevant to analytics, operations, product and risk responsibilities. It promises neither employment nor promotion and grants no regulated professional authority.

What you will learn

• Frame a testable professional decision with value, guardrail and sensitivity measures.
• Evaluate a causal effect with an experimental or quasi-experimental design, explicit assumptions and sensitivity checks.
• Evaluate an out-of-sample probabilistic forecast and choose a decision threshold tied to loss, capacity and drift.
• Formulate constrained optimization and simulation models and explain robustness and multi-objective trade-offs.
• Design a governed decision workflow that is traceable, monitored, escalatable and retireable.

Who it is for

• Business and data analysts, operations, product and risk managers with quantitative foundations
• Experienced analysts and data scientists who want to connect statistical and predictive models to reviewable operational decisions.
• Product, operations and planning managers who rely on analytics for pricing, allocation and staffing decisions and need to judge the quality and limits of the evidence before acting.

Curriculum

1. Subject 1 Open for free

   Decision Framing and Measurement

   Turn a managerial problem into an explicit decision with measures that reveal value, bias and sensitivity.

   3 lessons · 4.5 hours

   1. A Testable Decision and Value Measure 1.5 hours
   2. Data Quality and Measurement Bias 1.5 hours
   3. Decision Rules and Sensitivity Analysis 1.5 hours
2. Subject 2

   Causal Inference and Experimentation

   Separate association from effect and design experiments or quasi-experiments with explicit assumptions and sensitivity checks.

   3 lessons · 5 hours

   1. Causal Effects and Assumption Graphs 2 hours
   2. Experimental Design and Analysis 1.5 hours
   3. Quasi-experiments and Sensitivity 1.5 hours
3. Subject 3

   Probabilistic Forecasting and Decision Value

   Evaluate out-of-sample forecasts and convert probability into action using calibration, loss and drift.

   3 lessons · 4.5 hours

   1. Out-of-sample Evaluation and Leakage Prevention 1.5 hours
   2. Calibration and Uncertainty 1.5 hours
   3. Thresholds, Loss and Drift 1.5 hours
4. Subject 4

   Optimization and Simulation under Constraints

   Formulate alternatives and constraints, simulate uncertainty and select robust rather than brittle optima.

   3 lessons · 5 hours

   1. Formulating an Optimization Model 1.5 hours
   2. Simulation and Scenario Analysis 1.5 hours
   3. Robustness and Multi-objective Trade-offs 2 hours
5. Subject 5

   Decision Intelligence Governance and Operations

   Operate decisions with human accountability, traceable records, monitoring, escalation and retirement criteria.

   3 lessons · 4.5 hours

   1. Designing the Human in the Loop 1.5 hours
   2. Monitoring and Operational Experiments 1.5 hours
   3. Decision Records, Escalation and Retirement 1.5 hours

Subjects unlock in sequence as you progress.

Strengths

• Causal, predictive and prescriptive integration
• Numerical cases and exercises with review criteria
• Governance, operations and a five-module transcript

Evidence basis

Concepts use scoped official and scholarly primary sources, with clear separation between supported claims and fictional teaching examples.

Program questions

Certificate

Verification example: a real issued certificate