Shape Digital Change
Become Part of the Megatrend
#count%
of all dit graduates
will find a job
within 2 months
AI enriches Lives
#AI #machinelearning #humaninteraction #algorithms #statistics #bigdata #industry4.0 #autonomousdriving #programming
#robotics #facerecognition #searchengines #socialmedia #chatbot #voiceassistancesystems #digitaltechnology
#diseasediagnosis #innovation #speechprocessing #logic
Study one of the first degree programmes in Artificial Intelligence in Germany. During this AI degree programme, you will acquire data, analytical and technological skills to develop, master and adapt AI systems. Gain knowledge in important application fields of AI such as healthcare, mobility, energy management, production, service or gaming. Eleven core computer science subjects form the backbone of the Artificial Intelligence degree programme; additionally the acquisition of key qualifications and soft skills coupled with a compulsory practical module will prepare you for your future professional life.
In your future career, you will be able to competently work through and overcome challenges of specialist departments using intelligent IT solutions with AI components, making it possible to manage limited resources more efficiently and strengthen the balance between economic and ecological sustainability.
We also offer the bachelor degree course in English: B.Sc. Artificial Intelligence
Fact Sheet Artificial Intelligence
Degree: Bachelor of Science (B.Sc.)
Duration: 7 semesters (3.5 years)
Start: October (winter semester)
Location: Deggendorf
Taught in: German (see language requirements)
Application period: 15 April - 15 July
Admission requirements:
- General German university entrance qualification, or please check your eligibilty at the DAAD if you own an international qualification
Prerequisites: Knowledge in science-based subjects in beneficial
Postgraduate opportunities:
- Master Applied Informatics / Infotronics
- Master of Applied Research
- Master Business Informatics
- Master Artificial Intelligence/Data Science (together w/ Univ. Budweis)
Fees:
- €72 student union fee per semester
- * International applicants and students
Contact:
- Information about the programme content: ki-b-info@th-deg.de
- General info on studying at DIT: prospective student advisors
- Information for freshers
Download: Course flyer
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
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 I | 4 | 5 |
| Programming I | 4 | 5 |
| Basics of Informatics | 4 | 5 |
| Operating Systems and Networks | 4 | 5 |
| Introduction to Artificial Intelligence | 4 | 5 |
| Key Qualifications I (Media Skills and Self Organisiation, Business Administration) | 4 | 5 |
| 2. Semester | SWS | ECTS |
| Mathematics II | 4 | 5 |
| Programming II | 4 | 5 |
| Algorithms and Data Structures | 4 | 5 |
| Internet Technologies | 4 | 5 |
| Computational Logic | 4 | 5 |
| Key Qualifications II (Technical Language) | 4 | 5 |
| 3. Semester | SWS | ECTS |
| Data Bases | 4 | 5 |
| Stochastics | 4 | 5 |
| Project Management | 4 | 5 |
| Assistance Systems | 4 | 5 |
| AI-Programming | 4 | 5 |
| Key Qualifications III (Technology Ethics and Sustainability, Academic Work) | 4 | 5 |
| 4. Semester | SWS | ECTS |
| Language Processing | 4 | 5 |
| Human Factors and Human-Machine Interaction | 4 | 5 |
| Machine Learning | 4 | 5 |
| Image Comprehension | 4 | 5 |
| Software Engineering | 4 | 5 |
| Key Qualifications IV (Compliance, Data Protection and IT Law) | 4 | 5 |
| 5. Semester | SWS | ECTS |
| Practice Module (Industrial Placement, Practice Seminar, Practice Accompanying Course) | ||
| 6. Semester | SWS | ECTS |
| Seminar Current Developments in AI | 4 | 5 |
| Autonomous Robotics | 4 | 5 |
| AI-Project | 4 | 5 |
| Deep Learning/Big Data | 4 | 5 |
| Compulsory Elective Module I | 4 | 5 |
| Key Qualifications V (Team Development and Intercultural Communication, Business Formation) | 4 | 5 |
| 7. Semester | SWS | ECTS |
| Compulsory Elective Module II | 4 | 5 |
| Compulsory Elective Module III: AI Applications | 4 | 5 |
| Compulsory Elective Module IV: AI in Industry or AI in Service Economy | 4 | 5 |
| Bachelor Module (Bachelor Thesis, Bachelor Seminar) | 2 | 15 |