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deen

Artificial Intelligence (B. Sc.)

Artificial intelligence or AI is a subfield of computer science which deals with the design and development of software systems that are able to simulate aspects of human intelligence. These include software systems for recognising textual and oral language and images, planning processes and actions, solving tasks using mathematical proof procedures, and interpreting and administrating large, unstructured data quantities; they also include self-corrective systems and interactive software systems that are able to adapt their operation to their users.



Bachelor of Science (B. Sc.)

7 Semester

Winter

Yes

Yes Dual Offers

German

Contents

Having acquired the appropriate technical skills along with knowledge of the ethical and legal aspects of such systems, graduates will be able to contribute to the advancement of digital transformation in a wide range of sectors and to play a role in shaping the field – whether in engineering, economics, medicine, environmental protection, social sciences, law or natural sciences. Autonomous driving, robotics, search machine programming, the configuration of chat bots, forecasting share prices, and even medical diagnoses or processes in agriculture are all fields that are nowadays supported and enabled by artificial intelligence. 

PreviousNext

Sensitive: Robotic hand grabbing an object

[Translate to English:] Zwei PC-Bildschirme, Informatikprogramme

Calculations in one of our PC-labs

[Translate to English:] Zwei Personen vor PCs, darauf Crashsimulation

Simulation of driving situations

Curriculum

1. Semester

Introductory Project

Programming 1

Introduction to Computer Science 1

Mathematics 1

Probability theory and statistics 1

2. Semester

Scientific Research Methods

Programming 2

Introduction to Computer Science 2

Mathematics 2

Probability theory and statistics 2

3. Semester

Machine Learning 1

Optimization procedures

Language and text comprehension

Deductive Systems

Ethics and Law for AI

4. Semester

Machine Learning 2

Software engineering and project management

Image comprehension

Big Data technologies and architectures 1

Seminar Artificial Intelligence

5. Semester

Preparatory Seminar for the Internship

Internship

Wrap-Up Seminar of the Internship

6. Semester

Machine Learning 3

Distributed Artificial Intelligence

Big Data technologies and architectures 2

Scientific elective modules on AI applications

Project

7. Semester

IT-Security

Scientific elective modules on AI applications

Fundamentals of Business Administration and Entrepreneurship

Seminar Bachelor's Thesis

Bachelor's Thesis


Quick Info

Admission and application

  • Applying for a degree course
    Students may only begin their degree in the winter semester.

  • Registration dates
    Applications for this degree may be submitted through the online application system from 2 May to 31 July.

  • Admission requirements
    To gain admission to the programme, applicants need one of the following qualifications for university entrance:

    • Abitur (European Baccalaureate, A-Levels, High School Diploma)
    • Fachhochschulreife (Vocational Baccalaureate)
    • Fachgebundene Hochschulreife (Specialised A-Level)

    The following link provides specific information about the application process for admission to the degree programme.
     
  • Admission requirements for international students
    If you wish to study at a German University, you need a so-called Hochschulzugangsberechtigung (HZB), or higher education entrance qualification. This is a secondary school-leaving certificate that corresponds to the German Abitur and entitles you to study.
    Students from abroad must apply for admission from the university of their choice. For your application, you will require for a Bachelor's degree: 
    • a school-leaving certificate (also known as "university entrance qualification", e.g. High School Diploma, Matura, A-Levels, Bachillerato, Atestat, baccalauréat)
      or
    • proof that you have passed the university entrance examination (if required in your home country)
    (Source: German Academic Exchange Service, DAAD, July 2016)

Dual studies or studies with in-depth practical

The dual studies programme enables a combination of practical training elements in a company with the theoretical education provided by the university. There is a choice of either the joint model (academic study + vocational training) or the degree course with vocational experience (academic study + intense practical phases). There is an obvious advantage to students here: practically oriented academic study generally enables a particularly smooth transition from university to the world of work. What is more, the student usually receives financial remuneration from the company concerned.

In the joint model, students may start working at the company several months before the start of the first semester, depending on the company concerned. At the start of the course there is an alternation between theory (during the semester) and practical experience (between semesters and during the practical semesters). In order to embark on a dual studies programme, students have to apply to both a company and to THI (be sure to take note of company application deadlines!).

More info on our dual studies-pages, or check dual cooperation partner companies. Even if no partner company is currently active in this degree programme, you are welcome to contact us.

Job profiles

The field of artificial intelligence covers a wide range of fascinating application areas, including robotics, autonomous driving, online retailing, chat bots, image recognition, the Internet of Things, Industry 4.0, agriculture, cyber security, medical diagnostics, search engines, share price forecasting, computer games, logistics, and finance & accounting.

Possible Job Profiles:

  • Software Developer for Artificial Intelligence/Machine Learning
  • Project Manager for Machine Learning
  • Functional Developer for Autonomous Driving
  • Data engineer for Autonomous Driving
  • Robotics Engineer
  • Developer in Robotic Process Automation
  • Consultant for Machine Learning and Artificial Intelligence

 

Request more information

Contact Student counselling

All about application, enrollment and examination

Apply online

Kontakt

Programme director "Artificial Intelligence" and academic advisor "Business Information Systems"
Prof. Dr. Melanie Kaiser
Phone: +49 841 9348-2566
Room: B202
E-Mail: Melanie.Kaiser@thi.de

Module Handbook

Module handbook

summer term 2020/21 (pdf, German only)

Study and Examination Regulations

Study and examination regulations (SPO) deal with judicial matters concerning your study course. Please turn to the pages of the legal department for Statutes of this course.

For any questions on requirements, exams regulations and more, please turn to the Service Center Study Affairs.

 

Links

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    85049 Ingolstadt
  • Phone: +49 841 9348-0
  • Mail: info@thi.de

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