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Technological mathematics

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Quick Overview

  • University Paderborn University
  • Degree Master
  • Degree Master of Science, M.Sc.
  • Study Type Second cycle
  • Mode of admission without admission restriction
  • Deadline for Beginning Students 01.06.2025 — 15.10.2025
    Die Universität Paderborn bietet kurzentschlossenen Studieninteressierten für Studienmöglichkeiten ohne NC eine Nachfrist zur Bewerbung vom 22.09. - 15.10.2025.
  • Standard period of study (amount) 4 semesters
  • Study Mode (elucidation) full time
  • Location (main / branches campus) Paderborn
  • Admission semester summer and winter semester
  • Subject

    Das Electrical Engineering gehört zum Studienbereiche Electrical Engineering der Fächergruppe Engineering Sciences.

    Weitere Informationen zum Studienbereich Electrical Engineering.

    Weitere Informationen zur Fächergruppe Engineering Sciences.

    Electrical Engineering

    Das Mechanical Engineering gehört zum Studienbereiche Mechanical Engineering der Fächergruppe Engineering Sciences.

    Weitere Informationen zum Studienbereich Mechanical Engineering.

    Weitere Informationen zur Fächergruppe Engineering Sciences.

    Mechanical Engineering

    Das Technomathematics gehört zum Studienbereiche Mathematics der Fächergruppe Mathematics, Natural Sciences.

    Weitere Informationen zum Studienbereich Mathematics.

    Weitere Informationen zur Fächergruppe Mathematics, Natural Sciences.

    Technomathematics

  • Field of study
    • Target group Bachelor graduates whose degree must include the following skills: •\tLinear Algebra: Confident handling of -\tvector spaces (base, dimension, dual space, quotient space), -\tlinear maps (rank, eigenvalues, Jordan normal form, diagonalisability), -\tBilinear forms, Euclidean and unitary vector spaces. •\tAlgebra: Confident handling of -\tGroups, rings, modules and fields, -\tbasic proof techniques of algebra. •\tAnalysis: Confident handling of -\tLimits (of sequences, infinite series, functions, sequences of functions), -\tbasic topological concepts (compactness, continuity), -\tdifferentiability in one and several real variables -\tthe Lebesgue integration (measure theoretic fundamentals, convergence theorems, integral theorems), -\tordinary differential equations (solution theory, elementary solution methods), -\tbasic proof techniques of analysis. •\tStochastics: Confident handling of -\tdiscrete and continuous random variables, their distributions and parameters\; -\tconditional probabilities, stochastic independence, -\tthe central limit theorem and the law of large numbers, -\tbasic methods of inferential statistics. •\tNumerics: -\tBasic understanding of central problems of numerical analysis, -\tconfident handling of numerical methods, -\tability to assess the condition of a problem. In addition, the degree must include at least 40 credit points in a minor subject with technical, mathematical orientation.
    • kind of Master course according to the KMK consecutive
    • Main instruction language German
    • Annotation of the Higher Education Institution Before taking up studies in the summer semester, study consultation is recommended.
    • Course Website
  • Access and Admission Requirements
    • Mode of admission without admission restriction
    • Admission semester summer and winter semester
    • Further details are governed by the admission regulations as well as examination regulations. The academic degree must include at least 40 credits in a technical, mathematically oriented minor subject.
      more information regarding admission requirements
    • Completion of first university degree Bachelor/Bakkalaureus

      Minimum requirements for first university degree:
      • Minimum number of semesters: 6 semesters
      • Minimum standard period of study: 6 semesters
      • Required ECTS credits: 180

      For this degree programme, you should have gained your first university qualification in one of the following subjects groups or areas of study:
      • Subject group: Engineering Sciences, Mathematics, Natural Sciences
      • Area of study: Electrical Engineering, Mathematics, Mechanical Engineering
  • Programme Dates and Deadlines
  • Contact / contact person

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