Data Science und Künstliche Intelligenz Business Management

Tracks and specialisations

• Data Engineering und Analytics · 20 ECTS
• KI und Intelligence Engineering · 20 ECTS

From the evaluated documents we could not derive a semester plan that matches the programme’s duration and ECTS – so the modules are listed without semesters. The university’s study plan is authoritative.

• Required modules38 modules

  • Fundamentals Data Science and Artificial IntelligenceSummary by OWWZ: Introduction to data science and artificial intelligence, including practical laboratory work.5 ECTS
  • Basic Computer ScienceSummary by OWWZ: Data representation and computer components are connected with operating systems, memory management, virtualisation and network protocols.5 ECTS
  • Basic Linear Algebra and AnalysisSummary by OWWZ: Vector spaces, matrices and eigenvalues are connected with sequences, limits, differential and integral calculus and Taylor series.5 ECTS
  • Basic ProgrammingSummary by OWWZ: Introduces Python programming fundamentals and applies them in laboratory exercises.5 ECTS
  • Practical Module ISummary by OWWZ (in German): Unternehmen und betriebliche Abläufe mit Daten- und KI-Bezug werden durch Mitarbeit kennengelernt. Zugewiesene Aufgaben werden konzipiert, dokumentiert und in Projektarbeit und Reflexionsbericht aufgearbeitet.Semesters 1–220 ECTS
  • Relations, Algebra, OptimisationSummary by OWWZ: Connects relations, algebra and discrete mathematics with optimisation methods.Semesters 1–25 ECTS
  • Key QualificationsSummary by OWWZ: Combines a design thinking workshop with societal questions about artificial intelligence and academic working methods.Semesters 1–25 ECTS
  • Advanced Computer ScienceSummary by OWWZ: Explores distributed computer systems and web development with laboratory exercises.5 ECTS
  • Advanced Linear Algebra and AnalysisSummary by OWWZ: Orthogonality, matrix decompositions and numerical methods are developed alongside multivariable calculus and error analysis; iterative solution and integration methods are applied.5 ECTS
  • Advanced ProgrammingSummary by OWWZ: Develops advanced programming techniques through practical laboratory work.5 ECTS
  • Foundations of the Digitalization in BusinessSummary by OWWZ: Business functions and digital markets are connected with business process modelling, databases, information management, collaboration systems and ERP.5 ECTS
  • Basic Digital Corporate ManagementSummary by OWWZ: Digital business management integrates business processes, information and collaboration systems; organisational changes and the use of analytics, automation and AI are examined.5 ECTS
  • Artificial Intelligence and Machine LearningSummary by OWWZ: Covers artificial intelligence and machine learning with practical laboratory work.5 ECTS
  • Modern Database ConceptsSummary by OWWZ: Covers database concepts and programming for relational systems, NoSQL and New SQL.5 ECTS
  • Practical Module IISummary by OWWZ (in German): Daten- und KI-Aufgaben werden in Unternehmensbereichen wie Marketing, Fertigung oder Softwareentwicklung bearbeitet. Eine benotete Projektarbeit und Präsentation werden durch einen unbenoteten Reflexionsbericht ergänzt.Semesters 3–420 ECTS
  • Project ManagementSummary by OWWZ: Traditional, agile and hybrid project management are combined with data science process models; a case study or additional teamwork, communication and leadership topics deepen practical application.Semesters 3–45 ECTS
  • StochasticsSummary by OWWZ: Probability models and random variables are connected with limit theorems, estimation, confidence intervals, hypothesis tests and experimental design.Semesters 3–45 ECTS
  • Systems EngineeringSummary by OWWZ: Covers requirements engineering and software engineering in systems development.5 ECTS
  • Cloud Computing and Big DataSummary by OWWZ: Combines cloud computing and big data with practical laboratory work.5 ECTS
  • Data-Driven Corporate ManagementSummary by OWWZ: Controlling and reporting are connected with analytics and knowledge discovery systems; data-driven AI scenarios and automation tools support company and process management.5 ECTS
  • Basic IT-Security and PrivacySummary by OWWZ: Covers cryptography, digital signatures, GDPR data protection and risk management.5 ECTS
  • Theoretical Computer ScienceSummary by OWWZ: Examines formal languages and automata, computational complexity and computability.5 ECTS
  • Selected Aspects in Data Science and Artificial IntelligenceSummary by OWWZ (in German): Eine Vertiefung wird gewählt: Sprachverarbeitung, Reinforcement Learning, Netzwerkanalyse, IT-Sicherheit, erklärbare KI, User Experience, Datenprojektleitung oder In-Memory-Analytics; die jeweilige Einheit verbindet Konzepte und Anwendung.5 ECTS
  • Business Models and EntrepreneurshipSummary by OWWZ: Digital and data-driven business models are analysed, visualised and innovated. Company formation, customer validation and social and corporate entrepreneurship supplement business model development.5 ECTS
  • Practical Module IIISummary by OWWZ (in German): Betriebliche Praxis wird im Ablauf und hinsichtlich eigener Kompetenzentwicklung reflektiert; die Studierenden bearbeiten komplexe praktische Aufgaben zunehmend eigenständig.Semesters 5–68 ECTS
  • Process Management and Process MiningSummary by OWWZ: Business processes are identified, modelled and improved; process mining uses event logs, discovery methods and conformance checking for data-driven process optimisation.5 ECTS
  • Selected Topics of Data Science and Artificial Intelligence in the EconomySummary by OWWZ: Current business questions involving data and AI are explored through company functions, industries or methods and may be implemented in practical laboratory projects.5 ECTS
  • Bachelor ThesisSummary by OWWZ (in German): Eine betriebliche Daten- oder KI-Fragestellung wird eigenständig wissenschaftlich analysiert, gelöst und als Abschlussarbeit dokumentiert; das Kolloquium ergänzt die schriftliche Prüfung.Thesis12 ECTS
  • SeminarSummary by OWWZ: Current developments in data science, AI or related disciplines are researched scientifically, documented in a seminar paper and, where applicable, presented.5 ECTS
  • Business Data Science and Artificial Intelligence in PracticeSummary by OWWZ: Data and AI solutions are applied to business tasks; predictive models, clustering, text analysis and model evaluation are connected with strategy, team building and organisational development.5 ECTS

  Depending on track: Data Engineering und Analytics

  • Data AnalyticsSummary by OWWZ: Combines data mining and analytics with data visualisation in laboratory exercises.Data Engineering und Analytics5 ECTS
  • Data EngineeringSummary by OWWZ: Covers the data engineering lifecycle, data lakes and data mesh with laboratory work.Data Engineering und Analytics5 ECTS
  • Current Developments Data Engineering and AnalyticsSummary by OWWZ: Examines current developments in data engineering through practical laboratory work.Data Engineering und Analytics5 ECTS
  • Data Engineering and Analytics ProjectSummary by OWWZ: A project provides practical experience in carrying out data engineering work.Data Engineering und Analytics5 ECTS

  Depending on track: KI und Intelligence Engineering

  • Intelligence EngineeringSummary by OWWZ: Covers the intelligence engineering lifecycle and model-based systems with laboratory work.KI und Intelligence Engineering5 ECTS
  • Advanced Artificial Intelligence and Machine LearningSummary by OWWZ: Advances machine learning through reinforcement learning and laboratory exercises.KI und Intelligence Engineering5 ECTS
  • Current Developments Artificial Intelligence and Intelligence EngineeringSummary by OWWZ: Explores current developments in artificial intelligence through laboratory work.KI und Intelligence Engineering5 ECTS
  • Artificial Intelligence and Intelligence Engineering ProjectSummary by OWWZ: A project provides practical experience in carrying out an artificial intelligence application.KI und Intelligence Engineering5 ECTS

Topic profile · Track KI und Intelligence Engineering

ECTS by topic from the curriculum’s modules; together at most the programme’s ECTS.RequiredElective

• Machine learning18 ECTS: 18 required18 ECTS
• Artificial intelligence14 ECTS: 14 required14 ECTS
• Data science and data analysis11 ECTS: 11 required11 ECTS
• Databases8 ECTS: 8 required8 ECTS
• Algorithms and data structures6 ECTS: 6 required6 ECTS
• Business process management5 ECTS: 5 required5 ECTS
• Software engineering5 ECTS: 5 required5 ECTS
• Systems engineering5 ECTS: 5 required5 ECTS

Curriculum sources

• Studien- und Prüfungsordnung Wirtschaft 26/2026Examination regulations · Version Amtliche Bekanntmachungen Nr. 26/2026 vom 9. Juli 2026 · checked 14 October 2026
• Modulhandbuch Data Science und Kuenstliche Intelligenz – Business Management (HDH)Module handbook · Version Stand vom 13.10.2026 · checked 14 October 2026
• StudienverlaufsplanStudy plan · Version Stand: 12.09.2025 · checked 14 October 2026