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Minor in Data Science Experiencing data-driven value creation

Data is everywhere; what matters is our ability to create social value from it. In the minor in Data Science, you will develop a sense for the pressing questions in your professional context, learn about the ethical handling of all sorts of data and acquire the communication skills required to facilitate data-based decision-making. 

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Overview

If you choose a minor in Data Science, you will earn an additional 12 ECTS by attending modules from the MSc in Applied Information and Data Science. This interdisciplinary, English-taught programme is training applied data scientists and open to lateral entrants. This means you will attend modules alongside students from various other disciplines. The modules of the minor in Data Science are compiled in a way that allows you to develop all the required skills in your regular master's programme or in the minor in Data Science in a step-by-step process.

Refer to the section below for more information about the contents of the minor in Data Science.

More information

Compulsory module (3 ECTS)

Fundamentals of Data Science (3 ECTS)
Content:

  • Introduction to data science
  • Infrastructure for data scientists
  • Basics of data analysis
  • Simple text analysis
  • Communicating results
  • Critical aspects of data analysis

Required elective modules (9 ECTS)

Programming

  • Python for Data Science (6 ECTS)
  • R Bootcamp (3 ECTS)

Basic methods

  • Linear Algebra 1 (3 ECTS)
  • Data Quality (3 ECTS)

Domain experience

  • Customer Data Analytics (3 ECTS)
  • Data Analytics for Energy Systems and IoT (3 ECTS)
  • Fraud Detection (3 ECTS)
  • Geospatial Data Analysis for Smart Communities (3 ECTS)
  • Open (Government) Data with Tableau (3 ECTS)
  • Sport Data Analytics (3 ECTS)
  • Time Series Analysis in Finance (3 ECTS)
  • Sustainability Analytics (3 ECTS)
  • Natural Experiments Using R (requires R Bootcamp) (3 ECTS)

Human centered topics

  • Ethical Issues of Big Data (3 ECTS)
  • Legal Issues of Big Data (3 ECTS)
  • Human Centered Design (3 ECTS)
  • Data Visualisation and Narration (3 ECTS)
  • Hands-on Visualisation for Data Science (3 ECTS)
  • GenAI (requires Python for Data Science) (3 ECTS)

On request

  • Machine Learning I (3 ECTS)

Click or tap here to consult the module descriptions for the required elective modules.

General information
The modules are taught in English and delivered on Thursdays or Fridays in each semester. You may attend them concurrently or consecutively to your master's programme.

After completing the master’s programme or—if taken consecutively—the Minor in Data Science, you will earn an additional diploma for your advanced skills in Data Science.

Some Facts about the Minor in Data Science

Admission criteria

Students who qualify for the minor in Data Science meet the following criteria:

  • Minimum grade of 5.0 in the degree program-specific statistics module (the corresponding module can be requested from the head of the degree programme); if the module is passed with a grade of < 5.0, an aptitude interview with the head of the minor will take place
  • Sufficient language skills in English (entry level according to the European Framework of Reference: C1)
  • Positive assessment by the head of the degree program
  • High level of commitment
  • Programming knowledge (R or Python) is an advantage, but not mandatory (preparation courses will be provided upon admission)

You can start the minor in Data Science in your third semester at the earliest. 

Admission deadline

Start in spring: December 1
Start in fall: June 1 

Admission process

Admission is granted by the head of the degree program. To start the admission process, please send an e-mail to the head of your degree program.