MA in Data Science And Analytics


Master of Data Science And Analytics is one of the best courses to choose from that offers in-depth learning in a Data Science and Business Intelligence. An MS Degree in Data Science and Business Intelligence from the University of Warsaw has consistently made its place among the top global universities. International students prefer this course at the University of Warsaw due to its high graduate employability rate.

University of Warsaw offers exceptional education quality, high-end practical learning and ample work opportunities to its international students. After receiving their MS Degree in Data Science and Business Intelligence from the University of Warsaw, students will be competent to carry out extensive research work in the field.

The interactive curriculum, vast research opportunities and exceptional teaching faculty at University of Warsaw offer students a life-altering learning experience. A Master of Science Degree helps students become creative and independent researchers. Overall, an MS Degree in Data Science and Business Intelligence from the University of Warsaw is a great choice for students who want to analyse the field in great depth.

Why Study Data Science And Analytics at University of Warsaw

  • A popular choice for international students with a diverse community
  • Learn from the best faculty members and become their research assistants
  • High-end labs to facilitate research work
  • Excellent placement programs after course completion

Course Highlights

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Interest rates as low as 7.99%
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5000+ Students

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Application Pre-requisites application pre requisite

Two reference letters will be assigned 0-100 credits each;, Cover letter will be assigned 0-100 credits;, 7 selected subjects from candidates undergraduate supplement /transcript of records (the candidate may choose no more than 7 subjects out of 14 categories, 0-100 credits each):, Microeconomics;, Macroeconomics;, Mathematical Statistics;, Probability Calculus;, Econometrics;, Mathematical Analysis (Mathematical Calculus);, Finance;, Programming in R, Programming in Python, Programming in SAS language, Programming in other languages, Data processing in SQL (or other language), Time-series analysis, Mathematical subject different than mentioned above

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