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Artificial Intelligence, B.Sc.

Faculty of Computer Science

Artificial intelligence enriches every area of life


#AI #artificialintelligence #AI #machinelearning #computerscience #datascience #algorithms #statistics #computervision

#naturallanguageprocessing #deeplearning #bigdata #industry4.0 #autonomousdriving #robotics #medicalimaging #languageprocessing #generativeAI


In the exciting world of artificial intelligence, you will learn to programme computers so that they can make independent decisions and perform tasks that are normally done by humans. As a student on the all-English Artificial Intelligence degree programme you will acquire the specialist knowledge required to build AI systems. In the beginning, the programme covers basic topics such as mathematics, programming, algorithms and data structures, operating systems, networks and databases. As you progress, you will explore complex AI topics such as machine learning, computer vision, natural language processing, big data, deep learning, autonomous robotics and computational logic.


In the sixth and seventh semesters, you can customise your studies by taking elective courses that match your interests and personal focus, such as healthcare, mobility, energy management, production, shared-cost services/providers or gaming. This English-language bachelor's degree programme also provides excellent preparation for an international working environment.


After successfully completing your studies, you will be able to use AI solutions to  solve problems in specialist departments. AI also enables better management of limited resources, strengthening the balance between economic and ecological sustainability.

Fact Sheet Artificial Intelligence

Degree: Bachelor of Science (B.Sc.)

Duration: 7 semesters (3.5 years)

ECTS points: 210

Start: October (winter semester)

Study Location: Deggendorf

Taught in: English

Application period: 15/04-15/06

Course specialities:

  • Special feature of the degree programme: The first and second semester lectures can be completed either on campus in Deggendorf or online from home (the final decision is up to the lecturer). However, the examinations must be taken on campus.

Admission requirements:

  • University entrance qualification from Germany, or for international degrees please consult the DAAD website.
  • Aptitude assessment procedure (average grade of the higher education entrance qualification and subject-related written online test).
  • A successfully completed written, online assessment test, further information: Assessment test.
  • Language Requirements
  • If English is not your native language, proof of sufficient English skills is necessary
  • The test for admission to the winter semester is expected to take place in May and June. It is not possible to choose the date. You will be invited to an appointment if you are deemed suitable

Prerequisites: Knowledge of basic STEM subjects is an advantage


Application procedure: Read step by step of how to apply

Postgraduate opportunities:


DownloadDegree programme flyer


We also offer the degree programme in German: B.Sc. Künstliche Intelligenz

Career Prospects

Almost every industry needs automated decision-making by means of AI in order to remain competitive. Examples of artificial intelligence applications include automated driving, smart homes, facial recognition, music streaming, medical image processing and diagnostics, predictive maintenance, navigation, robotics and digital voice assistants. You will be able to work in all of these areas. As a graduate, you will be able to analyse data, develop AI systems, manage AI projects, advise managers and clients on these topics and conduct research in the field of AI. With extensive ongoing investment in AI by companies and governments, there are many job opportunities for you, such as:

  • Data scientist
  • AI engineer
  • Software engineer
  • Consultant
  • Business developer
  • Project manager
  • Researcher

There are potential employers for graduates of this degree programme in all sectors, particularly in the software industry. However, another option for you is to start your own business after graduating.

Subject Overview

Overview of lectures and courses, SWS (Semesterwochenstunden = weekly hours/semester) and ECTS (European Credit Transfer and Accumulation System) in the Bachelor's degree Artificial Intelligence.


1. Semester SWS ECTS
Mathematics 1 4 5
Programming 1 4  5
Foundations of Computer Science 4 5
Operating Systems and Networks 4 5
Introduction to Artificial Intelligence 4  5
Key Competencies 1 4  5
2. Semester SWS ECTS
Mathematics 2  4 5
Programming 2  4  5
Algorithms and Data Structures 4  5
Internet Technologies 4 5
Computational Logic 4 5
Key Competencies 2 4 5
3. Semester SWS ECTS
Databases  4 5
Statistics 4 5
Project Management 4  5
Assistance Systems  4  5
AI Programming  4 5
Key Competencies 3 or German  4  5
4. Semester SWS ECTS
Natural Language Processing  4  5
Human Factors and Human-Machine Interaction 4  5
Machine Learning  4 5
Computer Vision 4 5
Software Engineering 4  5
Key Competencies 4 or German  4 5
5. Semester SWS ECTS
Internship (Internship, Internship-Accompanying Course 1, Internship-Accompanying Course 2)
- 30
6. Semester SWS ECTS
Seminar Current Topics in AI 4 5
Autonomous Robotics 4 5
AI Project 4  5
Deep Learning/Big Data  4 5
Compulsory Elective Module 1  4 5
Key Competencies V or German 4 5
7. Semester SWS ECTS
Compulsory Elective Module 2 4 5
Compulsory Elective Module 3: AI Applications 1 4 5
Compulsory Elective Module 4: AI Applications 2 4 5
Bachelor Seminar
2 2
Bachelor Thesis
12 12