Bachelor's degree in Artificial Intelligence Solutions

Study Plan

AI Methods

• Introduction to AI
• Logic and Symbolic AI
• Machine Learning
• Heuristic Optimization and Symbolic Regression
• Neural Networks & Deep Learning

AI Applications

• Time Series Analysis
• Computer Vision
• Natural Language Processing
• Electives

Software Development & Software Architectures for AI

• Object-Oriented Programming in Python
• Project Management
• DevOps/MLOps
• Software Architectures for Big Data
• IT and Data Security
• Embedded AI
• Requirements Engineering
• UI & UX Design

Foundations of Computer Science

• Foundations of Computer Science
• Algorithms and Data Structures
• Programming in C and C++

Applied Mathematics

• Basics of Linear Algebra and Calculus
• Basics of Probability and Statistics

Data Management and Data Processing

• Databases and Data Warehouses
• Data Preprocessing
• Data and Information Visualization

IT Law and IT Business

• IT and AI Law
• Basics of Business
• Business Models and Product Management

Soft Skills

• Ethics and Trustworthy AI
• Creative Techniques
• Data Storytelling
• Scientific Work

Practical Work

• Study Project
• Internship
• Bachelor Thesis & Examination

Study Focus

• Machine Learning and many other AI Methods, such as various architectures of (deep) neural networks, bagging and boosting, support vector machines, symbolic AI, symbolic regression, etc.
• AI Technologies and AI Software Components in computer vision, natural language processing, and time series analysis
• Software Development & Computer Science Foundations
• Cloud Computing & Embedded Systems
• IT Law & IT Business
• Electives: 5 ECTS in the 6th semester can be chosen from a catalog of several courses with advanced AI Applications in domains such as industry, medicine/healthcare, business, and finance.

Practical Experience and Research

Due to the practical orientation of the study program, AI solutions are developed and implemented as part of projects from the 4th semester onwards. Project ideas usually come from partner companies or one of our numerous research groups. The range of topics is broad, as Artificial Intelligence plays a role in most of our partner companies and our research groups on campus.

Study Abroad

The study is internationally oriented, which is why the language of instruction is English. In particular, the professional internship in the 5th semester can be completed abroad. There is also the option of studying the 6th semester at one of the faculty's numerous partner universities.

• You’ll acquire all the skills necessary to see through AI projects from conception to implementation. This includes skills in the acquisition and pre-processing of data, the integration of ready-made AI components, as well as competence in customized machine learning models.
• Once an AI solution has proven to be functional, it will need implementation, which, in turn, requires competencies in cloud computing and/or embedded systems, plus software development methods and project management.
• Due to the practical orientation of the study program, you will become familiar with applying AI methods of computer vision and natural language processing in domains such as industry, medicine/healthcare, business, and finance.
• Graduates will work, for example, as AI engineers and data scientists, as product/process owners for intelligent systems, or will advise software companies on how to integrate AI components into software systems.