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 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)

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 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