Curriculum BSc Data Science Free choice of modules in the module group You must achieve the minimum number of credits in each module group; in addition, you are free to choose which module group(s) you want to deepen.
Mathematical Competency
Min. Credits Total Credits
of
Data Analysis
12 18
of
Computer Science and Programming
15 22
Level
Data Processing & Infrastructure
Machine Learning
12 26
7 17
10 18
of
of
of
Applied Data Science
of
Data Visualisation
11 21
Humanities & Economics
Communication
4 7
of
of
9 15
of
World of Work
14 33
Social Embedding of a Data Science Challenge
of
Basic
Intermediate
Advanced
Challenges & Projects
10 20
42 75
maximum
3
Digital Entrepreneurship & Innovation
Bachelor-Thesis
4 High Performance Computing
Introduction to Business Administration 4
Stochastic Processes and Time Series Bayesian Data Analysis
Optimization for Machine Learning 3
Cloud Infrastructure & Computing 3
2
Statistical Learning
Advanced Calculus
3
Efficient Machine Learning Algorithms Webtechnology
4 3 Applications of Linear Algebra
Foundation in Mathematics
Object-Oriented & Functional Progr.
Linear and Logistic Regression 3
3 Foundation in Linear Algebra
Probability Modelling 3
3 Foundation in Calcalus 3
3
2
3
3 3
Foundation in Image & Signal Porcessing
Software Construction
Multiple Linear Regression
Programming Algorithms
Clicking on a module name will take you to the module description.
Web Data Collection
3
2
Reinforcement Learning
2
4 3
Deep Learning
Data Wrangling
Social Network Analysis
Programming in R Foundation in Databases
Foundation in Information Technology 2
Digital Communication
2
Effective Argumentation
2
Presenting
4 Recommender Systems
Foundation in Machine Learning
Foundation in DS 6
Visual Analytics
Interactive Visualisation 4
3
3
2
2
2
Foundation in Writing 3
2
Foundation in Data Visualisation 3
Politics, History, Culture
2
Ethical Implementation Ethical Reflection
2
2
2
Social Impact of AI Design 3 Design Thinking for Data Scientists 2
3 3
4
Data Storytelling
Applied Machine Learning
Advanced Deep Learning
Database Design & Implementation
3
4
3
2
2
Data Law
Advanced Writing
Natural Language Processing
Explainable AI
2
Foundation in Programming 4
Data Collection IoT
3
3 2
3
Exploratory Data Analysis
Deep Learning on Image & Signal
3
Knowledge Management
Tutorial Communication English 0 Tutorial Communication German 0
Data-Driven Business Models Scientific Methods
Information Technology Law Information Literacy
Project 5 Data Science Various Challenges
Actively Shaping your Career Path Leadership
2
2
2
Personal Knowledge Management 2 Intercultural Competency
12
6
Challenge X6
Formulate and solve your own Challenge
Selfmanagement
Learning Workshop
Project 3 interdisciplinary
Challenge X3 Formulate and solve your own Challenge
6
6
2
2
Project 4 interdisciplinary
Challenge X4 Formulate and solve your own Challenge
Various Challenges E. g. Data Analysis or Data Communication
2
6
6
3 Participative Events
Project 3 Data Science
Challenge X5
E. g. Technology & Society, Webengineering or Machine Learning
6
Digital Portfolio
Project 4 Data Science
Formulate and solve your own Challenge
2
3
6
Various Challenges
Collaboration in Teams
2
2
2
E. g. Natural Language Processing, Computer Vision, Deep Learning, Graph Machine Learning
6
On-The-Job Project 2 Projects from your daily work
Project 2 Data Science
Various Challenges On-The-Job Project 1
E. g. Probability Modelling or Data Engineering
Projects from your daily work
4
6
Project 1 Data Science 6
Subject to change. Update: 2024