Data Science (M.Sc.)part time degree programmes for professionals, distance studies, part time, full time

  • Master of Science (MSc)

    Master
    Degree

  • 24 months

    Standard period of study (amount)

  • Stuttgart

    Location

Overview and admission

Study Type

graduate

Admission semester

Summer and Winter Semester

Focus

Big Data, Deep Learning, Data Mining

Annotation

Your distance learning is carried out in 4 semesters and is modularly structured. You choose your personal focus between the specialisations Big Data, Deep Learning, Data Mining and Data Management. They are intensively involved in the recognition, formulation and solution of complex data analysis problems, learn to handle digital media with confidence, acquire communication skills and the ability to work in a team. You are well prepared for taking on leadership responsibilities and have various learning strategies for lifelong learning. You develop strategies to integrate, analyse and structure heterogeneous data of a company and to present analysis results in a way that is understandable for experts.

Admission modus

open admission

Admission requirements (Link)

Admission requirements

If you already have a university degree in Business Information Systems or Mathematics, Computer Science, Business Administration with a focus on Business Information Systems, Industrial Engineering and Management, Data Science or a comparable degree, our Master's degree programme is open to you.

Lecture period

Application deadlines

Winter semester (2023/2024)
  • Application deadline for Germans and inhabitants

    Not applicable

  • Enrollment deadline for Germans and foreign students

    Any time

Tuition fee

Fees

509.00 EUR / Month

Fees (Link)

It is possible to start the course at any time. Studies can be extended by 18 or 24 months free of charge.

Languages of instruction

Main language

German

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These data have been kindly made available to the DAAD by the German Rectors' Conference.

DAAD - Deutscher Akademischer Austauschdienst - German Academic Exchange Service