Data Engineering and Analytics
Tuition
Duration
Admissions Deadline
Location
Profile
The program is divided into three areas of study: Data Analysis, Data Engineering and Analytics and Data Engineering. The first area is concerned with fundamentals of understanding and modelling data and the underlying relationships. Data Engineering consists of lectures about the construction of systems that perform efficient and scalable data processing, thus enable the methods of Data Analysis on large data sets. The curriculum comprises mandatory courses on Data Analysis and Data Engineering. Advanced lectures are offered in these areas of studies: Data Engineering contains lectures about distributes systems, distributed databases, query optimization, database systems on modern CPU architectures and high performance computing. Data Engineering and Analytics offers lectures about machine learning, business analytics, computer vision and scientific visualization. Data Analysis is concerned with topics that require solid mathematical foundations: Fundamentals of Convex Optimization, Computational Statistics and more.
Map
Sorry, no records were found. Please adjust your search criteria and try again.
Sorry, unable to load the Maps API.
Admissions Requirements
Applicants need a bachelor’s degree with major in related field. Applicants from non-anglophone countries should provide proof of English proficiency. Application deadline for non EU students is May 31 and November 30.
Related Programs
Program Information
Munich
Germany
80333
Germany
- 2 years
- Full Time
- On Campus Learning
Additional Information
Considerations