Artificial Intelligence (B. Sc.)

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 May, 2 to end of July (deadlines may vary, please see bachelor application for details.

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

  The following link provides specific information about the application process for admission to the degree programme.
• Admission requirements for international students
  • Abitur (European Baccalaureate, A-Levels, High School Diploma)
  • Fachhochschulreife (Vocational Baccalaureate)
  • Fachgebundene Hochschulreife (Specialised A-Level)

• 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)
   
• Language requirements
  German level at least B2, all lectures and exams are held in German

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.

The field of artificial intelligence offers a wide range of exciting application areas, e.g. robotics, autonomous driving, online commerce, chatbots, image recognition, Internet of Things, Industry 4.0, agriculture, cyber security, medical diagnostics, search engines, forecasting stock prices, computer games, logistics or finance and accounting.

Possible job titles

• Software developer artificial intelligence / machine learning
• Project Manager Machine Learning
• Function development for automated driving
• Data engineer for autonomous driving
• Robotics Engineer
• Developer Robotic Process Automation
• Consultant Machine Learning and Artificial Intelligence

Yes. At THI, we also offer a currently German-speaking Master's degree in "Artificial Intelligence", which builds on the content of the Bachelor's degree.

However, in 2025, the programme will be offered in English.