#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.
Customise your degree through individually selected elective courses that allow you to focus on particular subjects, depending on your interest areas in AI and its’ applications.
Benefit from the compulsory internship semester, in which you have the opportunity to apply your newly acquired skills to challenges in a work environment. Our department closely collaborates with industrial partners to provide you with a possible environment to complete your thesis project in the last semester, providing you with the perfect preparation to launch your degree in AI upon graduation.
Degree: Bachelor of Science (B.Sc.)
Duration: 7 semesters (3.5 years)
Start: October (winter semester)
Application period: 15 April - 15 June
Taught in: English
Prerequisites: Knowledge in STEM subjects is helpful
Application procedure: Read step by step of how to apply
Download: Course flyer
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.
|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|
|Algorithms and Data Structures||4||5|
|Key Competencies II (Foreign Language: German or English)||4||5|
|Key Competencies III (Technology Ethics and Sustainability, Academic Writing) or German||4||5|
|Natural Language Processing||4||5|
|Human Factors and Human-Machine Interaction||4||5|
|Key Competencies IV (Compliance, Data Protection and IT Law) or German||4||5|
|Internship-Accompanying Course 1||2||3|
|Internship-Accompanying Course 2||2||3|
|Seminar Current Topics in AI||4||5|
|Deep Learning/Big Data||4||5|
|Compulsory Elective Module I||4||5|
|Key Competencies V (Team Building and International Communication, Entrepreneurship) or German||4||5|
|Compulsory Elective Module II||4||5|
|Compulsory Elective Module III: AI Applications 1||4||5|
|Compulsory Elective Module IV: AI Applications 2||4||5|
|Bachelor Module (Bachelor Thesis, Bachelor Seminar)||14||15|