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Aug 7, 2023 · The M.Sc. Data Science degree programme offers the following specialization areas: Data-based optimization; Mathematical theory / Fundamentals of data science (taught in German) Databases and knowledge representation; Machine learning / Artificial intelligence; Simulation and numerics; Mathematical statistical data analysis
- Applying for a Master's Degree Program Or a PhD
Please note that not all Master’s degree programs at FAU can...
- Master's Degree Programmes
Our study programs and FAQs. MeinStudium. As one of the...
- Master Data Science (English)
Since the winter semester 2021/22, the Department of Data...
- Applying for a Master's Degree Program Or a PhD
Aug 8, 2023 · Master of Science. Regelstudienzeit. 4. Studienbeginn. Sommersemester, Wintersemester. Studienort. Erlangen. Größe. 250-600. Fächergruppe. Mathematik, Naturwissenschaften. Besondere Studienformen. Internationales Studienangebot, Teilzeitstudium möglich. Unterrichtssprache. Vollständig auf Englisch. Zugang. Qualifikationsfeststellungsverfahren.
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Does FAU Erlangen-Nürnberg offer accommodation?
Our study programs and FAQs. MeinStudium. As one of the strongest research universities in Germany, FAU offers over 70 Master’s degree programmes. More than 5000 international students currently study at FAU. Applying for Master’s degree programmes. The degree program data is being processed.
Since the winter semester 2021/22, the Department of Data Science offers an English-language Master’s program in Data Science within the Mathematics/Data Science teaching unit. Detailed information on the master’s program can be found on the pages of the teaching unit.
- Why Apply For This Program?
- Career Prospects
- Areas of Specialization
- Structure of The Degree Programs
- Application Subjects
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- Part-Time Study
- Requirements
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- Enrolment
Data Science has become a revolutionary technology that everyone seems to talk about. It is becoming a key concept for large private businesses, public institutions and research. While it is not easy to define it in a few words, data science deals with the methods and tools needed to analyze data and draw actionable conclusions from the results gai...
As a data scientist you can work in national and international companies or in the public sector. Some exemplary sectorsto find exciting job positions would be: 1. Technology Industry Thanks to the various developments in data science, this industry is gradually evolving from an art into a science. Modern cyber security mechanisms heavily rely on d...
At the beginning of the master’s degree, one major field of study is selected from the following subject areas as part of an individual study agreement: 1. Data-based optimization 2. Mathematical Theory / Fundamentals of Data Science (taught in German) 3. Databases and Knowledge Representation (taught partly in German) 4. Machine learning / Artific...
The standard time to degree is four semesters (two years). Students must acquire 120 ECTS. The program is structured as follows: Detailed information regarding modules and study plan can be found under „Important document and further info“ paragraph in the „Module Handbook“ section.
Out of the following application subjects, you should take modules with a total of 15 ECTS. You are free to choose modules mixed from all applications subjects in either English or German, depending on your language skills. 1. Artificial Intelligence in Biomedical Imaging 2. Chemistry (taught in German) 3. Digital Humanities (taught mainly in Germa...
In the following we present three exemplary study course plansas an orientation help assuming you are studying Data Science as a full-time study (~30 ECTS per semester) and the first semester starts in the winter semester.
Since the winter semester 2022/23 it is possible to study the M.Sc. Data Science in part-time. The standard period of study is extended from 4 to 8 semesters compared to a regular full-time study. The study programme structure and in particular all modules are the same in both study types. If you are planning to study Data Science in part-time and ...
Admission requirements: 1. A completed B.Sc. degree in Mathematics, Industrial Mathematics, Mathematical Economy, Computer Science, Data Science, or Physics from FAU or another equivalent domestic or international degree that is not significantly different with regard to the competence profile taught in the respective degree. Please note that your ...
Accommodation: FAU Erlangen-Nürnberg is not able to offer accommodation. The University does not operate any student accommodation and is not allowed to act as an estate agent. However, information on finding accommodation is provided here. Financing your studies and costs: There is only one semester fee / student services fee for each student, no ...
After you receive your admission letter you have to enrol for the next semester by sending your certified documents via postal service to the Student Records Office. The enrolment fee should be transferred several days before, especially if transferred from abroad. In this case we recommend to calculate with at least two weeks. You can find further...
Back to overview. Data Science full time. Master of Science. Degree. 4 semesters. Standard period of study (amount) Erlangen. Location. Please enquire. Overview and admission. Study Type. graduate. Admission semester. Summer and Winter Semester. Annotation. New course in winter semester 2021/22! Admission modus. open admission.
City 1. City 2. FAU Erlangen-Nürnberg. Data Science. M.Sc. (Master of Science) Subjects: Data Science, Statistics. M.Sc. Degree. 120. ECTS. English only. Language. Winter semester: 31 May. Summer semester: 30 Nov. Application Deadlines. 2 Years (starting: Both semesters) Duration. Free. Tuition Fees (per semester) Starting. Both semesters.
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related to: university of erlangen–nuremberg master of data scienceEarn Your Master's in Data Science Online from Boston University. Apply by July 1, 2024. Complete our Master's in Data Science Online in as little as 16 months. Learn more.
First-Hand Experience Working in Data—an Industry Experiencing Unprecedented Demand. Complete Hands-On Data Projects Guided by Industry-Leading Professionals.
Earn MS In Data Science. Study Deep Learning, Natural Language Processing, & More. Take Classes Online Or In Person, Part-Time Or Full-Time. Real-World Experience.
