Information Processing and Data Analytics 2026

Turning Data into Decisions – An International Blended Intensive Programme

2026-11-09 – 2026-12-18

Dortmund, Germany | On-site phase: 7–11 December 2026

Language: English Maximum participants: 45

INTRODUCTION

This Erasmus+ Blended Intensive Programme (BIP) responds to the growing need for interdisciplinary, practice-oriented training in data-driven decision-making across different sectors. By combining virtual and physical learning formats, it offers flexibility and accessibility for students from diverse academic and cultural backgrounds. The programme directly supports the Faculty of Computer Science’s internationalization strategy by fostering cooperation with strong European partners and promoting international, team-based project work. Its added value lies in the combination of academic input, real-world case studies, and transversal skills training (e.g. teamwork, intercultural communication, digital literacy). The BIP encourages inclusive participation and contributes to the EC’s goal of broadening access to short-term mobilities. The long-standing collaboration among the partner institutions ensures a high-quality and sustainable partnership.

The target group is final-year bachelor’s students and master’s students.

HOW TO APPLY?

First of all, please register yourself in our DEE system to be able to access our “Event Planner” service. You will find instructions on how to create an account in the Attached Guide.

As soon as you have your account and you are logged in, you will be able to find the event page of our Information Processing and Data Analytics Block Week 2026 under this link.

Please if you are interested in joining our event register yourself as soon as possible by clicking on DEE system.

NOTE: Amount of seats is limited.

Important additional information about/for BIP registration

Name: Dortmund University of Applied Sciences and Arts

Faculty/Department: Computer Science

Erasmus code: D DORTMUN02

Administrative contact person: Ekaterina Hermann (ekaterina.hermann@fh-dortmund.de); position: international projects coordinator

Responsible person for signing the learning agreement: Thorsten Ruben (thorsten.ruben@fh-dortmund.de); position: international master studies coordinator

BIP title: Information Processing and Data Analytics 2026

BIP ID: 2026-1-DE01-KA131-HED-000409538-1

Time frame: The BIP Information Processing and Data Analytics 2026, organised by the University of Applied Sciences and Arts Dortmund spans over six consecutive calendar weeks (CWs). It starts with a virtual phase (CW 46), followed by a presence phase of one week (block week CW 50 from 7th to 11th of December) and a virtual phase (from CW 50 to CW 51).

Content of the virtual component:

Before:

Basic introduction
Team building
Self learning phase, theory basics
Introduction case study
Preparation of physical component

After:

Finalizing groupwork
Theory vs. Case Study
Reflection

Course number for Learning Agreement: 94308

Course title for Learning Agreement: Information Processing and Data Analytics

ECTS: 6

ORGANIZATIONAL FRAMEWORK

Event Schedule November 9-December 18, 2026 —

Please check the Google Calendar for more detailed information on the dates. The BIP spans over six consecutive calendar weeks (CWs).

It starts with a virtual phase, followed by a presence phase of one week (block week) and a virtual phase as shown in the table below:

9th of Nov - 18th of Dec

CW 46 (09-Nov – 13-Nov): Virtual Phase – Introduction/Team building

CW 47 (16-Nov – 20-Nov): Virtual Phase – Introduction/Team building

CW 48 (23-Nov – 27-Nov): Virtual Phase – Self learning

CW 49 (30-Nov – 04-Dec): Virtual Phase – Self learning

CW 50 (07-Dec – 11-Dec): Presence Phase/Block Week – Lecture and case study

CW 51 (14-Dec – 18-Dec): Virtual Phase – Finalizing groupwork

PROGRAM OVERVIEW

Event Schedule presence phase December 7-11, 2026

— Location: FH Dortmund-University of Applied Sciences and Arts Emil-Figge-Straße 38b, Room: 003

Monday, 7th of Dec

09:00-10:00 Welcome

10:00-11:30 Lecture 1: Introduction

11:30-12:30 Case Study: Introduction

12:30-13:30 Lunch

13:30-14:30 Lecture 2: Tools

15:00-17:00 Guided Tour

Tuesday, 8th of Dec

09:00-10:30 Lecture 3: theory & Tools

12:30-13:30 Lunch

13:30-15:00 Lecture 4: Theory & Tools

15:00-17:00 Case Study: Group Work

Wednesday, 9th of Dec

09:00-10:30 Lecture 5: Theory & Tools

10:30-12:30 Case Study: Group Work

12:30-13:30 Lunch

13:30-14:30 Case Study: Group Work

14:30-16:00 Lecture 6: Theory & Tools

16:20-17:40 Social Event 18:00-21:30 Dinner

Thursday, 10th of Dec

09:00-10:00 Lecture 7

10:00-12:30 Case Study: Group Work

12:30-13:30 Lunch

13:30-16:00 Case Study: Group Work

17:00-18:00 Guided Tour

19:00–22:30 Dinner

Friday, 11th of Dec

09:00–13:00 Case Study Presentations & Closing

APPLICATION AND SELECTION

How to Apply?

First of all, please register yourself in our DEE system to be able to access our “Event Planner” service. You will find instructions on how to create an account in the Attached Guide.

As soon as you have your account and you are logged in, you be able to find the event page of of our Information Processing and Data Analytics Block Week 2026 under this link.

Please if you are interested in joining our event register yourself as soon as possible by clicking on DEE system.

NOTE: The number of funded places is limited.

„Important additional information about/for BIP registration“

Name: Dortmund University of Applied Sciences and Arts

Faculty/Department: Computer Science

Erasmus code: D DORTMUN02

Administrative contact person: Ekaterina Hermann (ekaterina.hermann@fh-dortmund.de); position: international projects coordinator

Responsible person for signing the learning agreement: Thorsten Ruben (thorsten.ruben@fh-dortmund.de); position: international master studies coordinator

BIP title: Information Processing and Data Analytics 2026

BIP ID: 2026-1-DE01-KA131-HED-000409538-1

Content of the virtual component:

Before: