MSc in Data Science
Area of Studies
mathematics, informatics
Degree
Master
Degree (in English)
Bachelor of Science
Language(s)
- English
Course Duration
3 or 4 semesters
ECTS points
120
Department
Warsaw University of Technology, Faculty of Mathematics and Information Science
Tuition and Other Fees
https://www.students.pw.edu.pl/index.php/Studies-Offer/M.Sc.-offer
Application Deadline(s)
Application process for October intake (Winter Semester) starts in April and for February intake (begining of Spring Semester) starts in November
Course Description
Course Profile
Data Science at Warsaw University of Technology provides an 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. 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 student exchange program.
The Data Science team is a group of researchers with major international collaboration, active in international research community and presenting results of their research at major scientific events.
Education Requirements
Application fee: EU candidates 200 EUR, non-EU candidates 200 EUR
BSc diploma (or any other equivalent diploma)
Good knowledge of English (appropriate certification required) - B2 equivalent
High score in subjects of topical fields
Contact
International Students Office
room 233, Main Building of WUT
E-mail: students.cwm@pw.edu.pl
Webpage: www.students.pw.edu.pl
Phone: (+48) 22 234 61 50
(+48) 22 234 50 91
(+48) 22 234 14 60
(+48) 22 234 13 41
It is usually easier to contact us via email
Warsaw University of Technology
pl. Politechniki 1
00-661 Warsaw, Poland
phone: +48 22 234 61 50, +48 22 234 50 9,1 +48 22 234 14 60, +48 22 234 13 41
email: students.cwm@pw.edu.pl
www: http://www.pw.edu.pl
Study programmes
- BSc in Aerospace Engineering
- BSc in Architecture
- BSc in Automotive Mechatronics
- BSc in Civil Engineering
- BSc in Computer Science (Computer Systems and Network)
- BSc in Computer Science and Information Systems
- BSc in Electric and Hybryd Vehicle Engineering
- BSc in Electrical Engineering
- BSc in Environmental Engineering
- BSc in Mechatronics
- BSc in Power Engineering
- BSc in Telecommunication
- Doctoral School no 1
- Doctoral School nr 2
- Doctoral School nr 4
- Doctoral School nr 5
- EMBA – Executive MBA, IMBA – International MBA
- English Language Preparatory Courses
- Erasmus Mundus Master Programme in Advanced Robotics –EMARO+
- Erasmus Mundus Master’s Programme M.E.S.C. – Materials for Energy Storage and Conversion
- Foundation Year of Warsaw University of Technology
- M.Sc. Biomaterials
- M.Sc. Geodesy and Carthography
Specialisation: Mobile Mapping and Navigation Systems - MSc in Aerospace Engineering
- MSc in Architecture and Urban Planning: Architecture for Society of Knowledge
- MSc in Biotechnology
- MSc in Chemical and Process Engineering Specialization: Green Technologies in Chemical Engineering
- MSc in Civil Engineering
- MSc in Computer Science (Artificial Intelligence)
- MSc in Computer Systems and Networks
- MSc in Data Science
- MSc in Electrical Engineering
- MSc in Environmental Engineering
- MSc in Management and Production: Global Production Engineering and Management
- MSc in Mechatronics (specialization: Mechatronic Devices and Systems).
- MSc in Photonics
- MSc in Power Engineering
- MSc in Robotics
- MSc in Telecomunications
- MSc in Transport (specialization: Transport Systems Engineering and Management)
- Polish Language Preparatory Courses