About Course

This introductory course builds basic statistical skills for migration policy and administration professionals. Through guided, hands-on exercises with real-world data, participants learn core statistical concepts, key indicators, and simple visualization techniques to interpret and communicate migration data effectively. The training supports the application of data-driven insights for evidence-based policymaking in supervised professional settings.

Status: MFHEA Accredited             

Qualification Type: Award ECTS: 1                                              

Duration: 5 days

Mode of delivery/attendance: Face-to-face/full-time

Hours of total learning: 25 hours (Contact: 20 hours/Self-study: 3 hours/Assessment: 1 hours)

Language of instruction: English or Arabic

Address: Training Institute on Migration Capacity Partnership for the Mediterranean (MCP Med TI), Development House, 4A, St Anne Street, Floriana, Malta.

Modes of teaching

  • Lectures
  • Visual aids and samples
  • Plenary discussions
  • Practical exercises
  • Verbal and written quizzes
  • Self-paced self-study

Assessment Attendance: A full mark implies uninterrupted attendance through the full course of studies. Weight: 5 points Practical Application : Weight: 35 points The final examination has been meticulously designed to assess the student’s holistic understanding of the course concepts. Weight: 60 points. The passing grade for successful completion of programme: 60/100 Additional Information:

  • Dates for next intake: N/A
  • Educational programme fees: N/A
  • Registration method: N/A
Show More

What Will You Learn?

  • Identify and classify main migration data sources and their limitations.
  • Understand and apply basic statistical concepts relevant to migration.
  • Recognize the role of statistical evidence in shaping migration policy.
  • Interpret and summarize migration trends using charts, graphs, and indicators.
  • Calculate and explain basic descriptive statistics and migration indicators.
  • Identify common data quality issues and follow structured data-handling procedures.
  • Use statistical results to support evidence-based migration decisions and policies.

Course Content

Day 1

  • Statistical Fundamentals in Migration: Core Concepts and Terminology
  • Migration Data Sources and Quality Assessment
  • Data Interpretation Fundamentals: Reading Migration Statistics in Context

Day 2

Day 3

Day 4

Day 5