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Information Systems and Applied Computer Sciences

B. Sc. Artificial Intelligence and Data Science

  1.  University of bamberg
  2. Faculties
  3. Information Systems and Applied Computer Sciences
  4. Studies
  5. Degree programmes offered
  6. B. Sc. Artificial Intelligence and Data Science
  7. Career Prospects

Career Prospects

The fields of activity for graduates of this degree programme are diverse, both in research and in companies. They range from the application of methods for analyzing company data and other data processed in the respective companies to the development of methods. Graduates can also work in consulting.

A survey by the AI system ChatGPT (4o) on possible job profiles provides the following very neat answer (on May 31, 2024):

Graduates of a Bachelor's degree in Artificial Intelligence (AI) and Data Science have many career opportunities, as the demand for specialists in these fields is constantly increasing. Here are some typical career opportunities:

  1. Data Analyst:
    • Analyzes data to identify trends and patterns.
    • Uses statistical methods and tools to analyze data.
    • Prepares reports and visualizations to support decision-making processes.
  2. Data Scientist:
    • Develops models and algorithms to solve complex problems.
    • Uses machine learning and AI to interpret data and make predictions.
    • Often works on business process optimization and innovation projects.
  3. AI Engineer:
    • Develops and implements AI models and systems.
    • Works on machine learning models, neural networks and other AI technologies.
    • Optimizes and scales AI applications for various industries.
  4. Machine Learning Engineer:
    • Focuses on the development, implementation and maintenance of machine learning algorithms.
    • Works on improving the efficiency and accuracy of models.
    • Implements ML solutions in production environments.
  5. Business Intelligence Analyst:
    • Uses data to develop and support business strategies.
    • Works with various tools to create reports and dashboards.
    • Helps companies make data-driven decisions.
  6. Big Data Engineer:
    • Develops and manages large data storage systems.
    • Works on the scaling and optimization of data processing systems.
    • Implements solutions for the efficient processing and analysis of large amounts of data.
  7. Statistician:
    • Uses statistical methods to analyze data.
    • Supports research projects and business decisions through statistical analysis.
    • Develops new methods and techniques for data analysis.
  8. Database Administrator:
    • Responsible for the administration and maintenance of databases.
    • Ensures the availability, security and integrity of data.
    • Optimizes database performance and capacity.
  9. Data Visualization Specialist:
    • Creates visual representations of data to make complex information understandable.
    • Uses tools such as Tableau, Power BI or D3.js to create interactive visualizations.
    • Works closely with other data professionals to visualize insights.
  10. Consultant in AI and Data Science:
    • Provides consulting for companies looking to implement AI and data solutions.
    • Develops customized strategies and solutions based on the client's requirements.
    • Supports the introduction and optimization of data and AI systems.

These career opportunities are in demand in a variety of industries, including technology, healthcare, finance, retail, manufacturing and more. The exact career path often depends on the specific interests and skills of graduates, as well as the particular requirements of the employer.