Type: 
University
Region: 
Dolnośląskie
Programme: 
Computer science
Area: 
Science
Level: 
Master's Programme
Mode of studies: 
full-time programme
Duration: 
2 years
Tuition fee: 
1000/1650 EUR
Degree awarded: 
master
Application deadline: 
Tuesday, 18 June, 2024
Language: 
EN
Day of semester start: 
Tuesday, 1 October, 2024
Credits (ECTS): 
120
Admission requirements: 
  1. Bachelor or Master degree certificate
  2. Transcript of grades/supplement from bachelor or master studies
  3. Certificate confirming  English Language knowledge on B2 level
  4. Passport data
  5. Digital passport size photo
  6. Recommendation letter - sent directly from recommender to international@uwr.edu.pl
Description: 

Our master program is a unique combination of solid mathematical background and computer science applications. Not only will you learn how to use tools, such as deep neural networks, but you will gain profound understanding why they work.

Our staff are specialists from different subfields of data science: statistics, machine learning, optimization, analysis of big data, processing of natural language. We have both solid academic experience but we also advise companies how data science can be used to increase their profits. We offer small groups (15 people enrolled yearly) and individual approach to each student.

Only three courses (Machine Learning, Numerical Optimization, Statistical Learning) are obligatory. They will give you the necessary foundations for pursuing knowledge in more advanced courses. As a student of our department you could also broaden your horizons taking supplementary courses, e.g., on algorithms or optimization. Don’t worry: we’ll advise you what courses to study next!

Our graduates find jobs in top companies in Silicon Valley (Google, Microsoft & Facebook), work at top universities (MIT) and found prospective startups.

Our students participate in data science projects from the very beginning of their studies. You will gain invaluable hands-on experience already before graduating.

STUDYFINDER