#artificialintelligence #AI #machinelearning #computerscience #algorithms #statistics
#computervision #naturallanguageprocessing #deeplearning #bigdata #industry4.0 #autonomousdriving
The fascinating world of AI involves programming computer-controlled machines to independently make decisions and perform tasks usually conducted by humans. As an AI student, you will acquire the expert knowledge required to build AI systems initially in foundation topics such as mathematics, programming, algorithms and data structures, operating systems, networks and databases. Later on in the course, you will study complex AI such as machine learning, computer vision, natural language processing, Big Data, Deep Learning, autonomous robotics and computational logic.
In the 6th and 7th semesters, you can customise your studies by taking electives according to your interests and personal focus, such as healthcare, mobility, energy management, production, service delivery or gaming. The English-language Bachelor's degree programme is also excellent preparation for an international working environment.
Find out more about modern AI teaching and how TH Deggendorf differs from other universities in this interview with Prof Dr Patrick Glauner.
Degree: Bachelor of Science (B.Sc.)
Duration: 7 semesters (3.5 years)
ECTS points: 210
Start: October (winter semester)
Application period: 15 April - 15 June
Location: Deggendorf
Taught in: English
Course specialities:
Admission requirements:
Prerequisites: Knowledge in STEM subjects is helpful
Application procedure: Read step by step of how to apply
Postgraduate opportunities:
Fees:
Download: Course flyer
Contact:
Nearly every industry requires automated decision making by AI in order to remain competitive. As a graduate, you will be able to analyse data, develop AI systems, manage AI projects, advise executives and customers on these topics and undertake research in AI. In light of the ongoing major investments in AI by companies and government, there are plenty of job opportunities for you, such as:
Potential employers of graduates from this programme are from all industries, in particular from the software industry. You may, however, also found your own startup upon graduation.
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 I (Media Skills and Self Organisation, Business Administration) | 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 (Foreign Language: German or English) | 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 (Technology Ethics and Sustainability, Academic Writing) 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 (Compliance, Data Protection and IT Law) or German | 4 | 5 | |
5. Semester | SWS | ECTS | |
|
- | 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 (Team Building and International Communication, Entrepreneurship) 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 | |
|
2 | 2 | |
|
12 | 12 |