Higher Education Compass

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Business Intelligence and Data Analyticspart time degree programmes for professionals, part time, full time

  • Master of Engineering

    Master
    Degree

  • 3 semesters

    Standard period of study (amount)

  • Emden

    Location

  • July 2023 (Non-EU)

    Please enquire

Overview and admission

Study Type

graduate

Admission semester

Summer and Winter Semester

Area of study
  • Information Technology
  • Engineering Informatics
Focus

Computer Sciences, Introduction to Data Science, Controlling, Machine Learning, Communication & Culture, Business Analytics, Introduction to Scientific Working

Annotation

The standard period of study is 3 years full-time and 5 years part-time

Admission modus

selection by the HEI

Admission requirements (Link)

Admission requirements

Bachelor's degree in a technical field such as electrical engineering, mechanical engineering, chemical engineering, natural sciences, information sciences, etc. with at least 210 ECTS/CP (3.5 years of full-time study) or an equivalent diploma degree. For a three-year 180 CP programme, 30 CP must be made up in consultation with the department. Professional experience in a relevant field of at least one year full-time or correspondingly two years part-time should be proven.

Lecture period
  • 01.03.2023 - 30.06.2023
  • 11.09.2023 - 05.01.2024

Application deadlines

Summer semester (2023)

Enrollment deadline for Germans and foreign students

Expired (Universitywide deadline)

Winter semester (2023/2024)
  • Enrollment deadline for Germans and foreign students

    15.07.2023 (Universitywide deadline)

  • Deadlines for international students from countries that are not members of the European Union

    15.07.2023

    For some Master’s courses, the deadlines may vary

Tuition fee

In the part-time variant, a basic fee of EUR 500 plus EUR 1,480/module is charged per semester.

Languages of instruction

Main language

English

Address

DAAD Newsletter

Useful Links

DAAD - Deutscher Akademischer Austauschdienst - German Academic Exchange Service