DIMA offers several Master’s courses suitable for varying study programs, including Computer Science (Informatik), Information Systems Management (Wirtschaftsinformatik), Computer Engineering (Technische Informatik), and Industrial Engineering (Wirtschaftsingenieurwesen). Our Master’s courses provide an ideal foundation for systems-oriented students to pursue careers as software engineers, systems engineers, data scientists, entrepreneurs, and Ph.D. Students in the areas of data management and machine learning systems. Courses in the DIMA Groupare often tied to ongoing research sponsored by (inter-)national funding agencies or companies. Topics are typically centered on database systems, scalable and distributed data management, and machine learning systems, including: (i) query processing and optimization, (ii) storage, indexing, and physical database design, (iii) streams, sensor networks, and complex event processing, (iv) parallel and distributed databases, (v) databases for emerging hardware, (vi) benchmarking and performance evaluation, (vii) machine learning for data management, (viii) data management for machine learning, (ix) transaction processing, (x) database monitoring and tuning, (xi) data warehousing, OLAP, and SQL Analytics, (xii) database security, privacy, and access control, (xiii) data visualization, (xiv) graph data management, RDF, and social networks, (xv) knowledge discovery, clustering, and data mining, (xvi) spatio-temporal databases, and (xvii) very large data science applications/pipelines.
For more information about DIMA course offerings and course schedules, visit MOSES.
Caveat: It may be that not all of the DIMA Master’s courses will be offered each academic year.
Furthermore, Computer Science and Information Systems Management Master’s students can specialize in big data / data science via the Faculty IV Data Science and Engineering Track. Students interested in joining the track can self-add themselves to the linked ISIS course.