180.772 Seminar for Master Students in Data Science
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2023W, SE, 1.0h, 1.5EC


  • Semester hours: 1.0
  • Credits: 1.5
  • Type: SE Seminar
  • Format: Presence

Learning outcomes

After successful completion of the course, students are able to

  • desribe the problem tackled in their master thesis and its relevance
  • select an appropriate resarch method to tackle the problem
  • define and present a approriate approach to solve the problem
  • evaluate the approach with respect to the problem definition
  • present and defend the proposal as well as the results of the master thesis

Subject of course

This seminar is mandatory for all students of the Master Data Science.

Presentations of master thesis proposal and final results of the master thesis.

Teaching methods

  • Presentations on the status-quo of the master thesis.
  • Review of a proposal written by a colleague
  • Discussion on problem statement, methods, state-of-the-art, results and evaluation of the presentet proposals / final master theses.

Mode of examination


Additional information

When announcing each of the three seminar days, we will decide whether we go for a classroom session (default) or run a Zoom session.

Please consider the plagiarism guidelines of TU Wien when writing your seminar paper: Directive concerning the handling of plagiarism (PDF)



Course dates

Mon08:00 - 17:0025.09.2023FAV Hörsaal 2 Introductory Presentation + Seminar Day 1
Mon13:00 - 16:0025.09.2023FAV Hörsaal 1 Helmut Veith - INF Seminar Day 1 (Break-out)
Fri09:00 - 16:0001.12.2023FAV Hörsaal 3 Zemanek (Seminarraum Zemanek) Seminar Day 2
Tue09:00 - 16:0016.01.2024FAV Hörsaal 3 Zemanek (Seminarraum Zemanek) Seminar Day 3

Examination modalities

Assessment  of both presentations and of the review.

Course registration

Begin End Deregistration end
22.08.2023 12:00 22.09.2023 23:59

Registration modalities

Registration for the course is only necessary for newcomers to the seminar to get access to the TUWEL course. Those who receive the info about the TU'WEL course based on their participation in the previous semester do not need to register here again. 


Study CodeObligationSemesterPrecon.Info
066 645 Data Science Not specified


No lecture notes are available.