Module Exchange in Data Science and AI
Stay at home and study abroad!
Would you like to take exciting modules from other universities... without doing a whole exchange semester? To be abroad virtually and continue studying normally at your university at the same time?
Una Europa Module Exchange
What?
The Una Europa Module Exchange in the field of Data Science and Artificial Intelligence is a virtual exchange of individual modules between four partner universities. It provides a flexible and easily accessible opportunity to participate in an international academic exchange. Through the Module Exchange, you can explore modules not available at your home university, allowing you to specialise in unique topics that match your interests. You'll also become part of a diverse, international community and collaborate with peers from different backgrounds on a wide range of contemporary issues.
How?
There are 13 modules available, offered by the four partnering universities. You can choose one or more modules and will be able to access all the module materials online, as well as participate and complete the module online. Upon completing the module successfully you will be credited the respective ECTS credits to the degree programme of your home university. The recognition is legally established. To confirm which modules are eligible for your degree programme, consult the filter below.
Why?
We wish to give you the opportunity to make use of the modules offered at all four partner universities, creating greater academic interconnectedness and fostering transnational exchange. You will benefit by specialising in topics and taking modules not offered at your home university, while being immersed in an international and diverse academic atmosphere.
Partner Universities
Programme Details
Eligibility
Only selected Master's programmes at the partner universities are participating in the Data Science and Artificial Intelligence Module Exchange. To find out if your degree programme is included and whether you are eligible, please use the filter below.
Financial Cost
The Una Europa Module Exchange is free of cost for participants. You will stay enrolled at your home university and pay regular tuition there.
Module Recognition
Indicate your home university and degree programme in the dropdown menu to find out which modules count towards your degree programme. Details about the modules can be found in the table below.
Please select a study programme to see eligible modules for ECTS credit recognition.
Modules at Universität Zürich
Title |
Description |
ECTS |
Offered by |
|---|---|---|---|
| Teamwork on Digital Transformation Challenges I | Discussion of interdisciplinary questions on challenges in the field of digital transformation and working on innovative approaches towards these challenges. Acquire a crossdisciplinary understanding of methods and approaches, and learn to evaluate them from ethical, legal, and social angles. | 3 | Universität Zürich |
Apply Now! Subpage Universität Zürich
Modules at Alma Mater Studiorum - Università di Bologna
Title |
Description | ECTS | Offered by |
|---|---|---|---|
| Big Data and Analytics | Learn how to navigate, organise, and represent big data collections. Introduction to Supervised Statistical Learning: Resampling methods, Classification, Dimension Reduction, Regularisation, and Smoothing methods in R software. |
10 | Alma Mater Studiorum - Università di Bologna |
| Modern Statistics and Big Data Analytics | Gain an understanding of theory and computing of modern statistical methods, especially methods for analysing big data. Students will learn about important methods of statistical learning and prediction, and the skills required to solve real-world problems. Cluster Analysis and Robust Statistics. |
10 | Alma Mater Studiorum - Università di Bologna |
| Machine Learning and Data Mining M | Understand the principles and most relevant use cases of a variety of Machine Learning algorithms used to extract information from large amounts of data. Learn the main steps of the Data Mining process and how to evaluate suitability of methods and results. Finally students will be able to develop a data mining process for simple datasets. | 8 | Alma Mater Studiorum - Università di Bologna |
| Matrix Tensor Techniques for Data Science | Gain theoretical and computational knowledge on matrix and tensor techniques for the analysis of large amounts of data. Application of this knowledge by examining large samples of discrete data and extracting interpretable information in image and data processing, for example in medical and scientific applications, and in social and security sciences. | 6 | Alma Mater Studiorum - Università di Bologna |
| Data Science for Lawyers | Overview of technical and legal definitions related to Artificial Intelligence, data analytics, big/open/open government data and connected policies. Analysis of normative frameworks related to the AI Act and Data Governance. Get familiar with technical instruments for AI and data analytics such as: R, KNIME, and Python. Design an AI and data science project with legal data using an interdisciplinary approach. Overall consideration on the impact AI models and data analytics methods could have on human rights. | 6 | Alma Mater Studiorum - Università di Bologna |
Apply Now! Subpage Alma Mater Studiorum - Università di Bologna
Modules at Universidad Complutense de Madrid
Title |
Description |
ECTS |
Offered by |
|---|---|---|---|
| Applied Statistics and Data Mining (taught in Spanish) | Application and technological knowledge of statistical tools for data analysis. Topics include: Programming in SAS, Time Series Modeling, Analytical Modeling Methodology, Supervised and Unsupervised Modeling. Students will do this by using the following programming languages: SAS, R, Python. | 9 | Universidad Complutense de Madrid |
| Applied Mixed Models (taught in Spanish) | Understand and apply the theory and practice of mixed-effects models and Generalised Estimating Equations (GEE) in the analysis of clustered data, such as longitudinal data, repeated measures, and multilevel data. | 6 | Universidad Complutense de Madrid |
| Software for Database Management (taught in Spanish) | Students will learn to model, build, and design multidimensional databases. They will be introduced to R and RStudio, and learn how to navigate the programmes and use the most important functions. | 6 | Complutense University of Madrid |
| Massive Data Process (taught in Spanish) | Students will be taught to recognise when datasets require solutions designed for massive data processing. They will learn about efficient solutions for storage, as well as tools for managing and extracting information from these datasets efficiently. | 6 | Universidad Complutense de Madrid |
Apply Now! Subpage Universidad Complutense de Madrid
Modules at Helsingin yliopisto/Helsingfors universitet
Title |
Description |
ECTS |
Offered by |
|---|---|---|---|
| MOOC AI in Society | How AI technology functions within a societal context: How AI changes society and social practices, how it is used in institutional settings, and what kind of societal level promises and challenges this technology poses. | 2-3 | Helsingin yliopisto/Helsingfors universitet |
| Engineering of Machine Learning Systems | Learn the state-of-the-art challenges, practices, and tools for engineering of Machine Learning Systems. Learn about the ML workflow and MLOps anatomy, pipeline, and role of elements, and about their relationship with real-world use cases. | 5 | Helsingin yliopisto/Helsingfors universitet |
Apply Now! Subpage Helsingin yliopisto/Helsingfors universitet
Information for Outgoings
Depending on the university you are studying at and the Master's degree programme you are enroled in, different conditions apply to the Module Exchange. Below, you will find programme-specific information depending on your field of study. Please read this information carefully.
Factsheet for students from Universität Zürich (PDF, 179 KB)
Factsheet for students from Helsingin yliopisto/Helsingfors universitet (PDF, 115 KB)
Students from Universidad Complutense de Madrid can find out more here.
Students from Alma Mater Studiorum - Università di Bologna can find out more here.
Apply Now!
Consult the filter function above to check eligible modules for your degree programme. Go to the respective subpage of the university offering that module. Apply right there!
Application Deadlines:
Universität Zürich: 30 June
Alma Mater Studiorum - Università di Bologna: 25 June
Universidad Complutense de Madrid: 30 June
Helsingin yliopisto/Helsingfors universitet: 26 September
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