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Study at DIT

Pioneering & Vibrant

Artificial Intelligence, B.Sc.

Faculty of Computer Science



of all graduates

will find a job

within 2 months







Deggendorf, DIT



B. Eng.


Additional admission requirements:

Skills in maths and science are required


















Artificial intelligence to replace natural stupidity

Eleven computer science core subjects form the backbone of the KI course. But also the acquisition of key competences and soft skills is important for your later professional life. This is addressed with a special module in each of five different semesters. The AI part includes, besides the "Introduction to AI", the two programming modules "Computational Logic" and "AI Programming". For the design of intelligent dialogue systems, we offer the modules "Assistance systems" and "Speech comprehension".

The topics autonomous driving and robotics are represented by the studies with "Image Understanding", "Autonomous Robotics" and "RoboCup". Of course, with the study modules "Machine Learning" and "Deep Learning" you also have Big Data on the radar. "Human Factors and Human-Machine Interaction" finally moves to the human-machine interface and rounds off your AI studies. In the "AI Project" you will also learn to develop a larger task from start to finish - in a team. The "Seminar Aktuelle Themen der KI" is designed to show you how to present your results successfully and convincingly.

In order to do justice to the fast-paced nature of topics in the field of artificial intelligence, four elective subjects (FWP) will be integrated in semesters 6 and 7. You can, for example, choose these from other courses of the new computer science faculty for your further specialisation. Or you can deepen your skills in important fields of application of the AI such as health care, mobility, energy management, production, service or gaming.

fact sheet artificial intelligence

Degree: Bachelor of Science (B.Sc.)

Duration: 7 semesters

Start: Winter semester

Location: Deggendorf

Admission requirements :

General university entrance qualification

Prerequisites: Knowledge in science-based subjects in beneficial

Post-graduate oportunities:

Fees: No tuition fees, only €52 student service fee per semester


career prospects

All manufacturing and service industries require support by artificial intelligence in the future, in order to remain competitive in their respective markets. This development, as well as the investment of more than €4 billion by the German government in our national AI strategy prove the promising future on the job market for our graduates. AI allows better economic management even with limited resources and thus also strengthens the balance between economic and ecological sustainability.

With the AI course, you acquire data competence, analytical competence and technological competence. You can develop, master and adapt AI systems. You will be able to intelligently solve problems in specialist departments using IT solutions with AI component. The target companies for graduates of the AI programme are basically from all industries, but especially from the software industry. But also for self-employment or the work in applied research and development in the mentioned fields the field is prepared for you with this study.

subject overview

Übersicht über die Lehrveranstaltungen, SWS (Semesterwochenstunden) und ECTS (European Credit Transfer and Accumulation System) im Studiengang Bachelor Künstliche Intelligenz.


1. Semester SWS ECTS
Mathematik I 4 5
Programmierung 1 4  5
Grundlagen der Informatik 4 5
Betriebssysteme und Netzwerke 4 5
Einführung in die Künstliche Intelligenz 4  5
Schlüsselqualifikation 1 (Medienkompetenz und Selbstorganisation, Betriebswirtschaftslehre) 4  5
2. Semester SWS ECTS
Mathematik 2  4 5
Programmierung 2  4  5
Algorithmen und Datenstrukturen 4  5
Internettechnologien 4 5
Computational Logic 4 5
Schlüsselqualifikation 2 (Fachsprache) 4 5
3. Semester SWS ECTS
Datenbanken  4 5
Stochastik 4 5
Projektmanagement 4  5
Assistenzsysteme  4  5
KI-Programmierung  4 5
Schlüsselqualifikation 3 (Technikethik und Nachhaltigkeit, Wissenschaftliches Arbeiten)  4  5
4. Semester SWS ECTS
Sprachverarbeitung  4  5
Human Factors und Mensch-Maschine Interaktion 4  5
Maschinelles Lernen  4 5
Bildverstehen 4 5
Software Engineering 4  5
Schlüsselqualifikation 4 (Compliance, Datenschutz und IT-Recht)  4 5
5. Semester SWS ECTS
Praxismodul (Betriebspraktikum, Praxisseminar, Praxisergänzende Vertiefung)    
6. Semester SWS ECTS
Seminar Aktuelle Themen der KI 4 5
Autonome Robotik 4 5
KI-Projekt 4  5
Deep Learning/Big Data  4 5
Wahlpflichtmodul 1  4 5
Schlüsselqualifikation 5 (Team-Entwicklung und interkulturelle Kommunikation, Unternehmensgründung) 4 5
7. Semester SWS ECTS
Auditierung von IT-Systemen 4 5
Wahlpflichtmodul 2  4 5
FWP3: KI Anwendungen 2 3
FWP 4: KI in Industrie oder KI in Dienstleistungswirtschaft  2  2
Bachelormodul (Bachelorarbeit, Bachelorseminar) 2 15