Data Sciencepart time degree programmes for professionals, distance studies
Master of Science
Master
Degree4 semesters
Standard period of study (amount)
Erfurt
Location
No information
Overview and admission
Study Type
graduate
Admission semester
Admission in all quarters
Area of study
Computer Engineering
Focus
Data Science, Phyton, Academic Work, Statistics, SQL, Cloud Computing, Neural networks and deep learning
Annotation
Progressing digitisation is causing data volumes to grow immeasurably. A topic that has long since become a matter of public debate. Therefore, data experts who approach the developments in the areas of software and infrastructure engineering as well as big data technologies with solution skills in a methodical, targeted and consistent way are desperately sought-after. With a distance learning Master's degree in Data Science at the IU, you will ensure that you have optimum career opportunities on the labour market. And: you study 100% online, how, when and where you want.
Admission requirements
You have completed an apprenticeship or further education, work experience or have already studied? Then let your previous achievements be recognized for the correspondence course! This way you save time as well as tuition fees - namely EUR 30 per recognized ECTS point. \t - Shortening your study time: Skip individual modules or entire semesters! - Save on tuition: For every ECTS point you get you save EUR 30. We will be happy to check before your application for distance learning whether and to what extent we can take your previous achievements into account: noncommittally and 100% online. Simply fill out our online recognition form.
Application deadlines
Winter semester (2023/2024)
Application deadline for Germans and inhabitants
none
Deadlines for International Students from the European Union
No information
Deadlines for international students from countries that are not members of the European Union
none
Tuition fee
Languages of instruction
Main language
German
Further languages
English