Data Science
Warsaw University of Technology Campus, Poland
Master of Science in Data Science
Warsaw University of Technology
Data Science
Program Overview: M.Sc. in Data Science
The M.Sc. in Data Science at Warsaw University of Technology is run by the Faculty of Mathematics and Information Science and is among the first European programs fully focused on data engineering and data analytics. It provides in-depth knowledge and skills needed to process and analyse the growing volumes of structured and unstructured data that define today's industries.
The program places particular emphasis on natural language processing, network data analysis including social networks, and machine learning methods such as deep learning. Students also build strong programming skills in Python and gain hands-on experience with Big Data platforms including Apache ecosystems and Cloud Computing environments through collaboration with top cloud providers.
Each student selects a scientific advisor from among the faculty's active research staff, and the final semester is devoted primarily to M.Sc. thesis preparation. Students may also spend a semester at a cooperating European university through an exchange program, gaining valuable international academic experience.
Key Program Highlights
- One of the first European M.Sc. programs dedicated entirely to Data Science and data analytics
- Hands-on experience with Big Data platforms, Apache ecosystems, and Cloud Computing
- Strong focus on machine learning, deep learning, NLP, and artificial intelligence
- Opportunity for a semester abroad at cooperating European universities via exchange programs
Curriculum and Modules
The Data Science curriculum is structured across three to four semesters and combines rigorous theoretical foundations with practical, industry-relevant projects. Core modules cover the full data pipeline from acquisition and storage to processing, analysis, and visualization, culminating in an M.Sc. thesis in the final semester.
Machine Learning and Deep Learning
6 ECTSCovers supervised and unsupervised learning algorithms, neural network architectures, and deep learning methods for complex pattern recognition and predictive modeling tasks.
Big Data Processing and Cloud Computing
6 ECTSProvides hands-on experience with Apache platforms such as Spark and Hadoop, and cloud computing environments for scalable data storage, processing, and analysis.
Natural Language Processing
5 ECTSFocuses on computational methods for analyzing and generating human language, including text classification, sentiment analysis, information extraction, and language modeling.
Network Data Analysis
5 ECTSExplores methods for analyzing network structures including social networks, covering graph algorithms, community detection, link prediction, and influence propagation.
Data Engineering and Data Acquisition
5 ECTSCovers the design and implementation of data pipelines, data warehousing, ETL processes, and techniques for acquiring and integrating data from diverse structured and unstructured sources.
M.Sc. Thesis and Research Seminar
20 ECTSStudents work under a chosen scientific advisor to conduct original research and prepare a master's thesis addressing a real-world data science problem, presented and defended before a faculty committee.
Elective Courses
Admission Requirements
Admission to the M.Sc. in Data Science at Warsaw University of Technology is competitive and based on academic qualifications in a related field. All applications and inquiries are handled through Uni4Edu, which guides you through the entire process from document preparation to enrollment.
Academic Requirements
- Bachelor's DegreeA completed bachelor's degree in a closely related field such as computer science, mathematics, statistics, or engineering is required. The diploma must be final, though provisional or temporary diplomas are also accepted.
- Academic TranscriptsOfficial transcripts in the original language accompanied by a certified English translation must be submitted.
- Relevant BackgroundStrong foundation in mathematics, statistics, and programming is expected. Prior coursework in linear algebra, calculus, probability, and at least one programming language is recommended.
- GPA RequirementContact Uni4Edu for current minimum GPA or grade average requirements, as these may vary by intake cycle.
- Passport CopyA valid passport copy is required for all international applicants as part of the identity verification process.
Language Requirements
- IELTSMinimum overall band score of 6.0 or equivalent (contact Uni4Edu for the latest requirements)
- TOEFL iBTMinimum score of 87 or equivalent (contact Uni4Edu for the latest requirements)
- Other ProofA degree completed entirely in English or Cambridge certificate may also be accepted as proof of English proficiency
Required Documents
Application Deadlines
For personalized admission guidance, document verification, and application support, please contact Uni4Edu
Scholarships and Funding
Warsaw University of Technology and the Polish government offer several scholarship opportunities for international students pursuing the M.Sc. in Data Science. Contact Uni4Edu for personalized guidance on eligibility and application procedures for available funding.
Ignacy Łukasiewicz Scholarship (NAWA)
Covers tuition fees, monthly stipend, and health insuranceA prestigious Polish government scholarship administered by the National Agency for Academic Exchange (NAWA), targeting students from developing countries pursuing master's degrees in science and engineering fields at Polish universities.
Rector's Scholarship for Academic Excellence
Monthly stipend (amount varies by academic year)Awarded to top-performing students enrolled in master's degree programs at Warsaw University of Technology who demonstrate outstanding academic results during their studies.
Erasmus+ Exchange Scholarship
Monthly stipend plus travel allowanceAvailable to WUT students who wish to spend a semester studying at a partner European university. The scholarship covers living costs and travel expenses during the exchange period.
For detailed tuition fee information, please contact Uni4Edu — we will guide you through the costs and available funding options for this program.
Career Prospects
Graduates of the M.Sc. in Data Science at Warsaw University of Technology are prepared to work as data scientists and data engineers in highly competitive enterprises across multiple sectors. They may also continue their education as PhD candidates, as data science offers many challenging and open research topics.
Potential Career Roles
Industries and Employers Hiring Graduates
Rankings and Recognition
Warsaw University of Technology is the largest and highest-ranking engineering university in Poland, with a history dating back to 1826. It is consistently featured among the top technical universities in Central Europe and holds strong positions in multiple international ranking systems.
| Subject | Ranking Body | Rank |
|---|---|---|
| Engineering and Technology | QS World University Rankings | Top 500 |
| Computer Science | Research.com | Top 400 Worldwide |
| Electrical and Electronic Engineering | U.S. News | Top 500 |
| Mathematics | QS World University Rankings | Top 500 |
How to Apply
Applying for this program is easy with Uni4Edu. Our team will guide you through every step of the process — from document preparation to final enrolment.
Contact Uni4Edu
Reach out to our team via email or phone. We will assess your profile and confirm your eligibility for this program.
Prepare Your Documents
Our advisors will provide you with a personalised checklist of required documents and help you prepare your application package.
Submit Your Application
Uni4Edu will submit your application on your behalf and keep you updated on its progress throughout the review period.
Receive Your Offer
Once accepted, we will help you understand your offer, arrange visa support if needed, and guide you through the enrolment process.
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