Program Overview

Master Lehramt UF Digitale Grundbildung und Informatik

The Master's program in Teaching Digitale Grundbildung and Informatik aims to deepen the professional and didactic qualifications for teaching in secondary education (general and vocational).

Program Objectives

The graduates of the Master's program will be able to:

• Prepare and deliver a well-founded lesson in digital education and computer science in secondary education.
• Demonstrate research competence in didactics and document their ability to work independently in scientific research with their Master's thesis.
• Follow the scientific and current developments in computer science and didactics, and incorporate these into their teaching.

Program Structure

The Master's program consists of:

• Pflichtmodul (9 ECTS): Technical and ethical foundations of artificial intelligence.
• Alternative Wahlpflichtmodulgruppe (13 ECTS): Specialization in either subject science or didactics.
• Fachdidaktische Begleitung der Praxisphase (4 ECTS): Didactic accompaniment of the practical phase.
• Abschlussphase (30 ECTS): Master's seminar, Master's thesis, and Master's examination.

Program Details

• Duration: 4 semesters
• Scope: 26 (56) ECTS
• Degree: Master of Education (MEd)
• Location: W‰hringer Strafle 29, 1090 Wien
• Language: German
• Program code: 196 053, 199 514
• Program leadership: SPL 5 (Computer Science and Business Informatics)

Study Process

The study process involves the following steps:

1. Admission: Registration for the aptitude test and admission to the program.
2. Study: Completion of the curriculum, including all required courses and examinations.
3. Graduation: Completion of the Master's thesis and final examination.

Why Study at the University of Vienna?

There are six reasons to study at the Faculty of Computer Science at the University of Vienna:

• Internationality
• Interdisciplinarity
• Tradition
• Research-based teaching
• Innovation
• Modern learning concepts

Program Curriculum

The curriculum includes:

• Technical and ethical foundations of artificial intelligence
• Specialization in either subject science or didactics
• Didactic accompaniment of the practical phase
• Master's seminar
• Master's thesis
• Master's examination

Additional Information

For more information on the program, please refer to the university's website or contact the Study Service Center (SSC) Informatik.