M.Sc. Data Science
Warsaw University of Technology
Key Information
Campus location
Warsaw, Poland
Languages
English
Study format
On-Campus
Duration
3 - 4 semesters
Pace
Full time
Tuition fees
EUR 3,990 / per year *
Application deadline
Request info
Earliest start date
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* non-EU tuition | no tuition zł for EU students
Introduction
The Data Science program provides the in-depth knowledge and skills needed to process and analyze growing volumes of data. Students learn about data processing and analytical techniques used for structured data and unstructured data. Particular emphasis is placed upon natural language processing and the analysis of network data including the data of social networks. The program builds also programming skills in languages typically used for data processing such as Python. This is combined with in-depth coverage and experience in the use of Big Data processing, including key platforms such as Apache platforms and Cloud Computing, including collaboration with top cloud providers.
As far as data analytics is concerned, particular attention is paid to Machine Learning methods. This includes also deep learning and methods focused on network and text analysis and contributes to the knowledge of Artificial Intelligence. Hence, the program combines the knowledge of key algorithms, methods, languages, and platforms used in data acquisition, storage, processing, analysis, and visualization with hands-on experience in solving real-world problems defined by industry experts.
Each student chooses a scientific advisor from among academic and research staff. The last semester is devoted mainly to M.Sc. thesis preparation. Data Science students can also spend a semester of their studies studying in one of cooperating European universities as a part of a student exchange program.
The Data Science team is a group of researchers with major international collaboration, active in the international research community, and presenting results of their research at major scientific events.
Admissions
Curriculum
Courses include:
- Advanced Machine Learning
- Deep Learning
- Cloud Computing
- Data Exploration and Visualisation
- Big Data Analytics
- Natural Language Processing
- Social Networks and Recommendation Systems
- Management of Organisation and Intellectual Property in the ICT Industry