Data and Knowledge Engineering (M.Sc.)
Studiengangdetails
Das Studium "Data and Knowledge Engineering" an der staatlichen "Uni Magdeburg" hat eine Regelstudienzeit von 4 Semestern und endet mit dem Abschluss "Master of Science". Der Standort des Studiums ist Magdeburg. Das Studium wird als Vollzeitstudium angeboten. Insgesamt wurde das Studium bisher 7 Mal bewertet. Dabei hat es im Durchschnitt 4.3 Sterne erhalten und liegt somit über dem Bewertungsdurchschnitt der Universität (3.9 Sterne, 878 Bewertungen im Rating). Besonders gut wurden die Kategorien Literaturzugang, Studieninhalte und Dozenten bewertet.
Vollzeitstudium
Good Data Science course w/ room for improvement
I have been taking this course and gained much knowledge and experience. A lot of current hot topics were taken into account when the course was structured. But at OvGU, there is an inclination towards medical data which is not bad but a bit tricky at times. For DKE, for some areas, there are really good courses but for some, there are few and not very interesting courses. Overall it...Erfahrungsbericht weiterlesen
Great content
I was looking for perfect blend of data engineering and data science courses and this program fulfill my desire.
In this course one can choose databases or development or data science or mathematics subject as well. It comes with lot of freedom which help you to decide better and take subject you are really interested in.
We have lSF for registration and all and e-learning portal for course library assignment submissions etc. Additionally we do have course websites as well.
Quite Nice and a different educational experience
Generally I have come across universities which have a set cusmtiiculum however here you can decide the no of courses you want to complete in one semester.
This is a positive as well as a negative thing.But experience in Germany is good.
Since it's a public university generally stiffened have to pay a minimal semester fee of 130euro. The journey of selecting desired courses according to the modules is little...Erfahrungsbericht weiterlesen
A satisfactory experience
Its interdisciplinary approach enables students get to learn from a diverse faculty and participate in various research projects, gaining in-depth knowledge of both theoretical concepts and practical applications in areas like AI, machine learning, and natural language processing. Though getting a thesis is a whole a lot hectic work.
Weiterempfehlungsrate
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