Studyportals

Data Science

Warsaw University of Technology

M.Sc. On Campus
Unknown
Duration
4800 EUR/year
4800 EUR/year
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

Data Science at Warsaw University of Technology is among the first European programs in Data Science and is fully focused on data engineering and data analytics.  

Overview

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.

Key facts:

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.

Programme Structure

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 ICT Industry

Key information

Start dates & application deadlines

Language

English

Credits

120 alternative credits

Delivered

On Campus

Academic requirements

We are not aware of any academic requirements for this programme.

English requirements

TOEFL admission requirements TOEFL® IBT The TOEFL iBT® is given online through the internet at designated testing site. The test measures your English-language abilities in an academic setting. The score refers to the total score of 4 subjects (writing, listening, speaking, and reading), each subject has a range of 0 - 30.
87
IELTS admission requirements IELTS The International English Language Test System (IELTS) tests your English-language proficiency on a scale of 1 – 9. The score refers to the combined average score of 4 subjects (writing, listening, speaking, and reading).
6

Other requirements

General requirements

  • Bachelor Degree Diploma - in the original language and translation to English. Remember we require a Bachelor Degree in a very similar field to the M.Sc. program you are applying to. The Diploma should be final, however, we accept also provisional and temporary ones.
  •  Transcript of records - in the original language and translation to English
  • Passport personal information page  - the page(s) with your data, photo and signature
  • Proof of payment of €200 application fee.
  • One photograph - passport format photo

Tuition Fee

  • International

    4800 EUR/year
    Tuition Fee
    Based on the original amount of 2400 EUR per semester and a duration of  .
  • EU/EEA

    4800 EUR/year
    Tuition Fee
    Based on the original amount of 2400 EUR per semester and a duration of  .

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Fresh content

Updated in the last 6 months

Check the official programme website for potential updates.

Data Science
-
Warsaw University of Technology

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