Data Science

M.Sc. Data Science  

Faculty of Mathematics and Information Science  

Duration: 1.5 year (standard) or 2 years (extended - supplemented by one semester, dedicated for students who require additional preparation) 

Starts in: October (4-semester program) and February (3-semester program) 

The M.Sc. program in Data Science programs run by the Faculty of Mathematics and Information Science is among the first European programs in Data Science and is fully focused on data engineering and data analytics. The Data Science program provides the in-depth knowledge and skills needed to process and analyse 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 visualisation 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.  


Examples of modules:  

• 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  


Graduate profile:

Graduates are prepared to work as Data Scientists and Data Engineers in the most competitive enterprises including, but not limited to high-tech companies, IT companies and financial sector companies. They can also continue their education as PhD candidates, as particularly many open and challenging topics exist in the field of Data Science.