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Home   >  Master's & postgraduate courses  >  Education  >  Summer Course in Introduction to Causal Inference for Data Science
We advise you! Request information or admission
  • discount

    €300 discount for FME-UPC students

  • discount

    €250 discount for students from other UPC or UB schools, adjunct faculty from UPC or UB, and full-time faculty from UB not affiliated with the MESIO program

  • discount

    €200 discount for students from other universities

  • discount

    Free for full-time faculty at the UPC and MESIO UB or involved departments

Presentation

Edition
1st
Hours
15
Delivery method
Face-to-face
These courses will be conducted 'face-to-face' and will also be streamed live.
Language of instruction
English
Fee
€400
Notes payment of enrolment fee and 0,7% campaign
Registration open until the beginning of the programme or until end of vacancies.
Start date
Start date: 07/07/2025
End date: 11/07/2025
Timetable
Monday: 9:00 am to 12:00 pm
Tuesday: 9:00 am to 12:00 pm
Wednesday: 9:00 am to 12:00 pm
Thursday: 9:00 am to 12:00 pm
Friday: 9:00 am to 12:00 pm
Taught at
Facultat de Matem脿tiques i Estad铆stica (FME)
C/ Pau Gargallo, 14. Edifici U.
Barcelona
Why this programme?

This course is part of the XVIII Summer School of the Master's degree in Statistics and Operations Research (MESIO UPC-UB).

In an increasingly data-driven world, companies face the challenge of interpreting and making decisions based on data. However, one of the most common difficulties is distinguishing between correlation and causality, as data only show what is related, not necessarily what causes what. This course introduces the concept of causal inference, an emerging methodology that allows data scientists and other professionals to better understand causal effects from historical data, without the need for costly and limited A/B testing. Through this approach, participants will learn how to discern when and how causal inference can be used to estimate the real impact of decisions or treatments.

The course on Introduction to Causal Inference for Data Science is designed to familiarize participants with the fundamental principles of causal inference, how to estimate its effects, and in which situations it is most effective. Additionally, attendees will discover how machine learning and causal inference can work together to improve data interpretation and decision-making based on data.

Primarily intended for students of the MESIO master’s program. The seminars can be recognized with 3 ECTS if 2 courses are completed and passed, and with 5 ECTS if 3 courses are completed and passed, subject to approval by the Faculty of Mathematics.

Aims
  • Understand when causal inference is necessary, along with its assumptions and limitations.
  • Learn tools to estimate causal effects.
  • Understand how machine learning and causal inference can support each other.
Who is it for?
Data scientists, statisticians and econometricians that want to evaluate the impact of decisions or treatments.
Participants should have:
  • Basic knowledge of probability and linear regression
  • Basic knowledge of machine learning concepts (e.g., cross-validation, decision trees)
  • Basic programming skills in R or Python

Software Requirements

Students must bring their own laptops with either R or Python installed, along with their preferred graphical user interface (GUI).

Training Content

List of subjects
15h
Introduction to Causal Inference for Data Science
Introduction
- Correlation is not causation
- A/B tests and Randomized Controlled Trials

How to handle confounders
- The main problem with confounders through Simpson's paradox
- How to remove the effect of confounding with the adjustment formula
- The adjustment formula in linear models
- Propensity Scores

Using machine learning to remove the effect of confounders
- The adjustment formula with machine learning
- Double Machine Learning

Selecting the variables that you need to include in your analysis in Directed Acyclic Graphs
- d-separation
- Backdoor criterion

Avoiding confounders through Instrumental Variables

Measuring the impact of a time event
- Synthetic Controls
- Regression Discontinuity Design
- Differences in Differences
Degree
Certificate issued by the Fundaci贸 Polit猫cnica de Catalunya.

Learning methodology

The teaching methodology of the programme facilitates the student's learning and the achievement of the necessary competences.

This course is designed to be interactive and discussion-based. Instead of just lecturing, I encourage students to actively participate, ask questions, and share their thoughts. We’ll explore different perspectives on causal inference, helping everyone build a well-rounded understanding of the topic. Students will also have the chance to talk about real-world causal inference problems they’ve encountered and work through them together.
Virtual campus
The students on this summer course will have access to the My_ Tech_Space virtual campus - an effective platform for work and communication between the programme's students, lecturers, directors and coordinators. My_Tech_Space provides the documentation for each training session before it starts, and enables students to work as a team, consult lecturers, check notes, etc.

Teaching team

Academic management
  • Langohr, Klaus
    info
    /
    PhD in Statistics from the Polytechnic University of Catalonia (UPC). Graduate in Statistical Sciences and Techniques from the University of Dortmund (Germany). Associate professor at the Department of Statistics and Operations Research of the UPC.
Teaching staff
  • Ruiz de Villa Robert, Aleix
    info

    PhD in Mathematics from the Autonomous University of Barcelona (UAB). Master in Financial Mathematics from the UAB. Co-founder of the meetup Group of R users of Barcelona and founder of the meetup Machine Learning Study Group. He has been director of data science at LaVanguardia.com, SCRM - Lidl and Onna. Currently, he works as a freelance on machine learning and causal inference issues.

Request information or admission

Information and guidance:
Isabel de la Fuente Larriba
(34) 93 115 57 51
Request received!
After we have registered your request, you will receive confirmation by email and we will be in touch.

Thank you for your interest in our training programmes.
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Name:

Programme: Introduction to Causal Inference for Data Science

Fee: €400

Submit and make the payment
  • If you have any doubts.
  • If you want to start the registration procedure.
How to start admission
To familiarise yourself with the registration process for this programme, please contact:

Isabel de la Fuente Larriba
(34) 93 115 57 51
isabel.delafuente@talent.upc.edu




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ACADEMIC AND ECONOMIC REGULATIONS

The Fundaci贸 Polit猫cnica de Catalunya reserves the right to modify content, price, location, timetable and dates prior to the start of the course. Registration on the course will not be confirmed until payment has been made.

Registration rights. The interested party must make payment of the specified registration fee for the course. This fee will be deducted from the full course fee and will only be reimbursed if the applicant is not admitted.

Cancellation or deferment.The Fundaci贸 Polit猫cnica de Catalunya reserves the right to cancel or defer a course if the minimum number of students is not met. In case of cancellation or non-admittance, the Fundaci贸 Polit猫cnica de Catalunya will return all amounts paid in full, without any additional compensation. In case of deferment, applicants may request reimbursement of fees paid.

Cancellation of registration.
In the event of withdrawal or cancellation of the registration, the student must notify the UPC School in writing beforehand.
  • If this request for cancellation is made 45 days before the start of the programme, the UPC School will retain only 30% of the total registration fee and refund the difference paid.
  • In the event that the application request is made within 45 calendar days and the beginning of the programme, the UPC School will retain 60% of the registration fee.
  • No applications for refunds may be made after the programme has started.
Under exceptional circumstances, refunds of the registration fee will be made if the student's cancellation is due to one of the following circumstances:
  • Denial of a visa, subject to submission of supporting documentation. In this case, the UPC School will refund the registration fee less 300 Euros for administrative expenses.
  • Serious illness or accident accredited by an official medical certificate, stating the start date of the illness and the anticipated convalescence period. In this situation the UPC School's decision will be as follows:
    • If the notification takes place up to one month after the start of the programme, it will refund the amount actually paid, less 300 Euros as administrative expenses.
    • No refunds will be made after a month after the start of the programme. It will be only be possible to use the amount paid as a deposit for the registration fee of the next programme. This procedure entails no administrative fee for the student. The price difference between the new registration fee and the amount previously paid will be payable by the student under all circumstances.

Changes in registration. Any changes in registration, previously authorised by the Fundaci贸 Polit猫cnica de Catalunya, will incur a 300 € administration fee.

Discounts.
  • Discounts are non-accumulable. The greater discount of those requested will be applied.
  • Discounts can only be applied under prior application and approval.
  • Once registration has been confirmed, no discount will be applied.
  • Students are responsible for placing applications for any discounts.

Qualification. In order to obtain the Qualification/Diploma issued by the Polytechnic University of Catalonia, the student must be in possession of a recognised university qualification or internal university qualification equivalent to a degree or diploma. If this is not the case, the student will receive a certificate of completion for the course, issued by the Fundaci贸 Polit猫cnica de Catalunya. Students with outstanding payments due to the Fundaci贸 Polit猫cnica de Catalunya or who has not approved all the credits necessary to overcome the program before the date of completion of this program will not be eligible to receive any qualification, diploma or certificate.

Barcelona, October 31, 2017


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