Skip to content
sitraka.lu
ENFR

Université Catholique de Lille · M2 International Management · 2026–2027

Data Analytics for Business

Every function an international manager will lead now runs on data. This course does not turn students into data scientists: it prepares them to commission analytical work, question it and act on it.

  • 3 ECTS
  • 6 sessions, December 2026 to January 2027
  • Taught in English
  • Campus Vauban, Lille, and one session online
The Hôtel académique of the Université Catholique de Lille
Photo: Velvet, CC BY-SA 3.0, Wikimedia Commons

Sessions

  1. Session 1: From data to decisions

    Wednesday 9 December 2026 · 13:00–17:00 · on campus

    SlidesQuiz

  2. Session 2: Data visualisation and storytelling

    Thursday 17 December 2026 · 13:00–16:00 · online

    SlidesQuiz

  3. Session 3: SQL essentials for managers

    Thursday 7 January 2027 · 10:00–12:00 · on campus

    SlidesQuiz

  4. Session 4: Predictive analytics for decision-makers

    Thursday 7 January 2027 · 13:00–16:00 · on campus

    SlidesQuiz

  5. Session 5: Generative AI, governance and the EU AI Act

    Friday 8 January 2027 · 09:00–12:00 · on campus

    SlidesQuiz

  6. Session 6: Capstone: pitch your insights

    Friday 8 January 2027 · 13:00–16:00 · on campus · Written exam and group pitches

    Slides

For enrolled students: each session's slides open with the password given in class. Questions: sitraka.forler@lacatholille.fr.

What students learn to do

  1. LO1

    Frame

    Turn a business problem into a precise analytical question and the indicators that show progress.

  2. LO2

    Prepare and retrieve

    Clean real tabular data in a spreadsheet, and query a multi-table dataset with core SQL.

  3. LO3

    Design and communicate

    Build honest, decision-oriented charts and dashboards, and turn a finding into a short narrative.

  4. LO4

    Interpret models

    Read the output of common predictive techniques, judge it in business costs, and spot overfitting, leakage and biased samples.

  5. LO5

    Use AI responsibly

    Use a general-purpose AI assistant to speed up analysis, check what it produces and document how it was used.

  6. LO6

    Assess governance

    Identify the GDPR and EU AI Act questions a project raises, and what a manager remains accountable for.

One real case, from the first hour to the last

The course runs on the order history of Olist, a Brazilian e-commerce marketplace published as open data: about 100,000 orders from 2016 to 2018, across nine linked tables. Each group receives a management brief in the first session and defends its recommendation in a pitch at the end.

Assessment

  • 30%Group projectDashboard and a brief of at most four pages
  • 20%Group pitchTen minutes, then four minutes of questions
  • 20%Milestones and participationThree milestones; participation includes the end-of-session quizzes
  • 30%Written examIndividual, 30 minutes, closed book

End-of-session quizzes

After Sessions 1 to 5, a quiz of 10 questions in 10 minutes checks the key ideas; from Session 2 on, two questions come back from earlier sessions. Students sign in with a Google account, take it once, see their score at once and the full corrections when the quiz closes. Quizzes count towards participation.

How quiz data are handled

Instructor

Sitraka Forler, systems architect and data scientist working in industry. The course is built so that every tool runs in a web browser, for free.

Work with me →About →