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 July, 15 (please see bachelor application for details)

• To gain admission to the programme, applicants need 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.

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

You should study Artificial Intelligence if you are interested in a career in a fast-growing and promising field that will change our lives in the future. This degree program prepares you for the creation and application of AI algorithms. You will learn how software can learn and how computers can understand language and images to solve problems that cannot be solved satisfactorily with conventional algorithms. In addition, the degree program offers you the opportunity to strengthen your methodological and social skills through practical work and group projects, preparing you for a successful career in the field of artificial intelligence.

The Artificial Intelligence degree program offers career opportunities in areas such as:
 

• IT sector: supporting search engines with AI, generating texts and images
   
• Medical sector: improving diagnosis
   
• Automotive and other manufacturing industries: improving production processes
   
• Logistics: optimization of transport routes and warehousing
   

In addition to a career in the company, an academic career is also open to you, for example through a subsequent Master's degree at the THI and a doctorate in one of the many sub-areas of AI.
 

Bavaria is home to a large number of leading companies and research institutions working in the field of artificial intelligence. This offers you the opportunity to work on advanced projects and learn from experienced experts even during your studies. The increasing digitalization of life means that the demand for specialists here will continue to rise.

The Artificial Intelligence degree program could be right for you if you:
 

• are interested in algorithms and want to implement this knowledge in software.
   
• find data analysis and management as well as the development of IT systems interesting.
   

If you are enthusiastic about new technologies, the Artificial Intelligence degree program could be just right for you!

Offering practical experience is very important to us. For this reason, the curriculum not only includes a full semester of internship in the 5th semester; most of the lectures on this course also include practical experiences in which the methods learned are applied in practice using current tools.

A study abroad is of course possible. The International Office offers advice on this at regular information events and in person.

Programming is taught in the subjects Programming 1 and Programming 2. You will be gradually introduced to the programming languages Python and Java by means of exercises and practicals. No previous knowledge is necessary. What is important is constant cooperation and having fun learning something new.

The Artificial Intelligence Bachelor degree program contains a significantly higher proportion of mathematics than the Computer Science degree program. Both courses have two lectures each on mathematics in the first part of the course; in the AI course, there are also two lectures on "Probability theory and statistics" in this part of the course, which can also be classified as mathematics and whose content is essential for the AI methods considered later in the course. 

In the second part of the course, various modules deal with specific AI methods (e.g. neural networks and other machine learning methods and their applications, in particular for speech and text recognition and image recognition). For these methods and applications, the mathematical foundations of the methods are important for understanding and are therefore also discussed in these modules. Mathematical and statistical fundamentals and their use in AI methods are a recurring theme throughout the course and play an important role.

No special prior knowledge in this field is required, but a basic interest in mathematical content is recommended in order to enjoy and successfully complete the course.