Warsaw, Poland

Master in Big Data Science

Master's
Table of contents
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⇑Master in Big Data Science at Kozminski University

Language: EnglishStudies in English
Subject area: computer science
Kind of studies: full-time studies
  • Description:

  • pl

⇑Test: Is Master in Big Data Science the right fit for you?

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10 questions · two minutes

1. You’re given a dataset so big your laptop can’t even load it. What do you do?

2. What’s your experience of programming and statistics so far?

3. You spot sudden spikes in some sensor data. How do you handle them?

4. You’ll read research papers, document your code and present your analyses in English, working in an international environment with people from all over the world. How does that sound?

5. A model you’ve built performs brilliantly on the training data but poorly on new data. What do you do?

6. A company wants to analyse millions of mobile app events every day. What interests you most about that?

7. Someone suggests using customer data that was originally collected for a different purpose. How do you react?

8. How do you explain your findings to people with no background in data?

9. Where do you see your career after your Master’s?

10. What motivates you most to pursue a Master’s degree in Master in Big Data Science?

⇑Definitions and quotes

Big Data
Big data is data sets that are so voluminous and complex that traditional data-processing application software are inadequate to deal with them. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source. There are a number of concepts associated with big data: originally there were 3 concepts volume, variety, velocity. Other concepts later attributed with big data are veracity (i.e., how much noise is in the data) and value.
Data
Data ( DAY-tə, DAT-ə, DAH-tə) is a set of values of qualitative or quantitative variables.
Data Science
Data science is an interdisciplinary field of scientific methods, processes, algorithms and systems to extract knowledge or insights from data in various forms, either structured or unstructured, similar to data mining.
Science
Science (from Latin scientia, meaning "knowledge") is a systematic enterprise that builds and organizes knowledge in the form of testable explanations and predictions about the universe.
Science
Those (natural) laws cannot be circumvented by any amount of piety or cleverness, but they can be understood. Uncovering them should be the highest goal of a civilized society. Not, as we have seen, because scientists have any claim to greater intellect or virtue, but because the scientific method transcends the flaws of individual scientists. Science is the only way we have of separating the truth from ideology, or fraud, or mere foolishness.
Robert L. Park, Voodoo Science (2000), p. 211
Science
Science has an important part to play in our everyday existence, and there is far too much neglect of science; but its intention is to supplement not to supplant the familiar outlook.
Arthur Eddington, Science and the Unseen World (1929).
Science
Science is the topography of ignorance.
Oliver Wendell Holmes, Sr., Medical Essays, 211. Quotes reported in Hoyt's New Cyclopedia Of Practical Quotations (1922), p. 691-92.

Contact:

Jagiellonska St. 57/59
03-301 Warsaw, Poland
phone: +48 22 519 22 69
admission@kozminski.edu.pl
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