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Overview

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With the Master’s degree in Digital Technologies you will achieve the following goals:

  • Competent use of scalable methods and technology for the analysis of large, heterogeneous amounts of data to solve economic, technical or scientific problems
  • Comprehensive implementation of data science processes in terms of organization and content
  • Planning and development of robust and flexible big data infrastructures
  • Connection of internal and external data sources via batch and streaming interfaces
  • Networking of devices across protocols and standards
  • Software development in the data science context
  • Promotion of leadership skills

PROGRAMME STRUCTURE

The four-semester combined degree in digital technologies begins in the winter or summer semester and ends with the Master of Engineering. Approx. 70 percent of the course consists of self-study sections and approx. 30 percent of face-to-face events at the university.

The course content, which is the subject of lectures in traditional full-time courses, is conveyed in the combined course via didactically prepared self-study materials (learning letters). In addition, exercises and internships take place at the university, usually on the second Saturday of the semester. Learning takes place in groups of around 25 students.

In addition, courses or examination dates can take place on up to five days of the week per semester (also possible as block courses). In addition, the exchange between students and teachers is supplemented by the internet-based communication platform ILIAS. The degree is completed by the master's thesis and the colloquium (oral examination).

The qualification with 300 credit points fulfills the formal requirements for a doctorate at all universities.

1st semester

  • Statistics for data analysis
  • Data mining methods
  • Introduction to Artificial Intelligence
  • Digital signal processing and controls

2 semesters

  • Leadership management
  • Machine learning methods
  • Programming languages ??for data analysis
  • Industrial Internet of Things and Industry 4.0

3rd semester

  • Big data technologies
  • Data science process and tools
  • Philosophical, ethical and legal considerations

4th semester

  • master thesis
  • colloquium

ENTRY REQUIREMENTS

Successfully completed bachelor's degree in mathematics, computer science or from the natural or engineering sciences (210 ECTS) with a grade better than 3.0 and relevant professional experience of at least 12 months after completing the degree.

Information on the bachelor's degree program

The bachelor's degree must include at least the following content:

  • 15 ECTS in computer science modules
  • 15 ECTS in modules of mathematics

We recommend an average grade of at least 2.7 in this important area of ??competence.


Information for students with a bachelor's degree with 180 ECTS

It is possible to credit internship periods during or after the Bachelor's degree. Evidence must be provided for these practical periods of at least 750 hours. This proof can be provided by:

  • a qualified certificate from the employer that demonstrates the skills acquired in each case
  • using the form for proof of practical engineering activities (will follow shortly in the download area)
     

Award procedure

If the number of applications exceeds the number of study places available, the award will primarily be based on the final grade of the first degree. In addition, professional experience and other qualifying criteria can be taken into account.

CAREER PROSPECTS

Successfully completed bachelor's degree in mathematics, computer science or from the natural or engineering sciences (210 ECTS) with a grade better than 3.0 and relevant professional experience of at least 12 months after completing the degree.

Information on the bachelor's degree program

The bachelor's degree must include at least the following content:

  • 15 ECTS in computer science modules
  • 15 ECTS in modules of mathematics

We recommend an average grade of at least 2.7 in this important area of ??competence.


Information for students with a bachelor's degree with 180 ECTS

It is possible to credit internship periods during or after the Bachelor's degree. Evidence must be provided for these practical periods of at least 750 hours. This proof can be provided by:

  • a qualified certificate from the employer that demonstrates the skills acquired in each case
  • using the form for proof of practical engineering activities (will follow shortly in the download area)
     

Award procedure

If the number of applications exceeds the number of study places available, the award will primarily be based on the final grade of the first degree. In addition, professional experience and other qualifying criteria can be taken into account.

 


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