Data Analytics & AI

Optional focus in Business Informatics, Software or IT Engineering

For everyone interested in Business Informatics, Software or IT Engineerin

The role of Data Analytics & AI in today's digital landscape is central to developing intelligent, data-driven solutions. In an era where data is considered the new oil, the ability to analyze and utilize complex data is so valuable because it enables the development of intelligent systems.

These systems can recognize patterns, make predictions, and improve decision-making, which is crucial in nearly all industries. From enhancing customer experience to optimizing operational processes and predicting future trends - data-driven intelligence drives innovation and efficiency.

Whether in software development, IT engineering, or designing business information systems, understanding and applying Data Analytics & AI opens up tremendous opportunities for creating innovative solutions and improving existing processes and services.

The demand for experts capable of not only developing software but also comprehensively analyzing data and integrating AI-powered solutions is steadily increasing.

A degree that includes Data Analytics & AI as a focus prepares future professionals to play a key role in shaping the digital future and the digital transformation of business processes.








Start of study

Usually on October 1 of the respective year

Duration of study

7 semesters regularly


Bachelor of Science in the chosen degree with focus in Data Analytics and AI / total 210 ECTS credits


13 weeks per term at the partner company, 10 weeks per term at NORDAKADEMIE

Tuition fee

Paid by the partner company during the standard period of study

Data Analytics & AI

Information about the foucs

Studying the Focus on Data Analytics & AI - what does that mean?

Data Analytics & Artificial Intelligence deals with the analysis of complex data to identify patterns, trends, and correlations that support informed decision-making. Artificial intelligence can be used to automate or support tasks that previously could only be solved by human intelligence. It plays a crucial role in optimizing business processes, increasing efficiency, and developing new innovations and business models.

In the fourth semester, the focus is on the applications of Data Analytics. Students learn about the different forms of data analysis, when they can be used in various areas, and how analysis results can be evaluated.

In the subsequent fifth semester, the basics of Machine Learning are covered, a core component of artificial intelligence, enabling (partially) automated decisions.

In the sixth semester, the course delves deeper into selected aspects of Data Analytics and Artificial Intelligence, giving students an in-depth understanding of these advanced technologies.

Finally, in the seventh semester, a Data Analytics project is carried out, where students can apply their acquired knowledge in practice and demonstrate their skills in real-world application scenarios.

Overview of focus modules:

4th Sem.: Applications of Data Analytics

5th Sem.: Basics of Machine Learning

6th Sem.: Selected Aspects of Data Analytics & AI

7th Sem.: Data Analytics Project

Graduates who have chosen Data Analytics & AI as their focus in computer science programs open up extensive career perspectives in the dynamic world of data science and artificial intelligence.

They qualify for key positions in areas such as data analysis, machine learning, artificial intelligence, predictive analytics, big data technologies, and in the development of AI-based applications, data strategy, decision-making, and automation technologies.

Through their specialized knowledge in analyzing, processing, and interpreting complex data, as well as in developing intelligent systems, they contribute to improving decision-making in companies and to developing innovative solutions based on insights from complex data analyses.

These competencies offer diverse and forward-looking career opportunities in various sectors – from technology companies and consulting firms to industries that require data-driven decision-making processes, thereby enabling graduates to make a significant contribution to digital transformation and progress in the application of AI.

In the field of Data Analytics & AI for computer science students, the following key competencies are acquired:

  • Understanding of the principles and challenges in Data Analytics & AI, including data processing and machine learning.
  • Ability to analyze complex data, identify patterns and trends, and develop predictive models.
  • Experience in applying statistical methods and machine learning for prediction and decision-making.
  • Knowledge in developing and implementing AI-based applications, including the integration of Data Analytics into products and services.
  • Ability to recognize current and emerging technologies in Data Analytics & AI.

These competencies prepare for a successful career in the field of Data Analytics & AI, whether in industry or research.

These qualities are particularly important for Data Analytics & AI:

  • Strong analytical thinking
  • Ability to work independently
  • Enjoyment of solving complex problems
  • Quick understanding of technical contexts
  • Patience in data analysis

dual bachelor's degree program

Your direct contact.

Would you like to find out more about the focus on Marketing or do you have any general questions? We will be happy to help you personally:

Direkter Draht

zu unserem Team

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Anette Rostock

Schülermarketing & Vertrieb