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Artificial Intelligence, B.Sc.

Faculty of Computer Science

The Automation of Human Decisions

 

 #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.

Customize 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.

Fact Sheet Artificial Intelligence

Degree: Bachelor of Science (B.Sc.)

Duration: 7 semesters (3.5 years)

Start: October (winter semester)

Location: Deggendorf

Course language: English

Course specialities:

  • The 1st and 2nd semester can be completed both on campus in Deggendorf or online from home, so that if your visa is delayed as an international student, you can start your studies without delay
  • If German is not your first language, German level A2 must be proven by the end of the course according to the common European reference framework. Some of the key competency modules can therefore be replaced by language courses if necessary

Admission requirements:

  • General German university entrance qualification, or please check your eligibilty at the DAAD if you own an international qualification
  • English level B2
  • If English is not your native language, proof of sufficient English skills is necessary
  • A successfully completed written, online assessment test covering mathematical, logical topics from the general field of AI. Test duration is 90 mins.
    Further information: Assessment test.

Prerequisites: Knowledge in STEM subjects is helpful

Application procedure: Read step by step of how to apply

Postgraduate opportunities:

Fees: No tuition fees, only €62 student services fee per semester

Contact:


Career Prospects

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:

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

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.


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
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 II  4 5
Programming II  4  5
Algorithms and Data Structures 4  5
Internet Technologies 4 5
Computational Logic 4 5
Key Competencies II (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 III (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 IV (Compliance, Data Protection and IT Law) or German  4 5
     
5. Semester SWS ECTS
Internship - 24
Internship-Accompanying Course 1 2 3
Internship-Accompanying Course 2 2 3
     
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 I  4 5
Key Competencies V (Team Building and International Communication, Entrepreneurship) or German 4 5
     
7. Semester SWS ECTS
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

 

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