Zielona Góra, Poland

Informatics and Econometrics

Informatyka i ekonometria

Master's
Table of contents
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⇑Informatics and Econometrics at UZ

Language: PolishStudies in Polish
Subject area: computer science
Kind of studies: full-time studies
University website: www.uz.zgora.pl/index.php?en

⇑Test: Is Informatics and Econometrics the right fit for you?

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10 questions · two minutes

1. You have a large dataset on household spending. What would you most like to do with it?

2. Your regression shows a strong link between two variables. How do you treat the result?

3. How do you feel about programming in languages such as Python or R for data analysis?

4. A bank asks you to build a model predicting which clients may default on loans. How do you approach it?

5. How do you feel about time series – forecasting prices, demand or inflation?

6. Classes are in English, and you’ll work on data projects with students from many countries. How do you see that?

7. Would you like to design a database and data pipeline that feeds a company’s analytical reports?

8. You’re offered the chance to write a research paper based on your Master’s thesis. How do you react?

9. Which future role appeals to you most?

10. What motivates you most to pursue a Master’s degree in Informatics and Econometrics?

⇑Definitions and quotes

Econometrics
Econometrics is the application of statistical methods to economic data and is described as the branch of economics that aims to give empirical content to economic relations. More precisely, it is "the quantitative analysis of actual economic phenomena based on the concurrent development of theory and observation, related by appropriate methods of inference". An introductory economics textbook describes econometrics as allowing economists "to sift through mountains of data to extract simple relationships". The first known use of the term "econometrics" (in cognate form) was by Polish economist Paweł Ciompa in 1910. Jan Tinbergen is considered by many to be one of the founding fathers of econometrics. Ragnar Frisch is credited with coining the term in the sense in which it is used today.
Informatics
Informatics is a branch of information engineering. It involves the practice of information processing and the engineering of information systems, and as an academic field it is an applied form of information science. The field considers the interaction between humans and information alongside the construction of interfaces, organisations, technologies and systems. As such, the field of informatics has great breadth and encompasses many subspecialties, including disciplines of computer science, information systems, information technology and statistics. Since the advent of computers, individuals and organizations increasingly process information digitally. This has led to the study of informatics with computational, mathematical, biological, cognitive and social aspects, including study of the social impact of information technologies.
Econometrics
Econometrics may be defined as the quantitative analysis of actual economic phenomena based on the concurrent development of theory and observation, related by appropriate methods of inference.
Paul Samuelson, Tjalling Koopmans, and Richard Stone. "Report of the evaluative committee for Econometrica." Econometrica- journal of the Econometric Society. (1954): 141-146.
Econometrics
Intermediate between mathematics, statistics, and economics, we find a new discipline which, for lack of a better name, may be called econometrics. Econometrics has as its aim to subject abstract laws of theoretical political economy or "pure" economics to experimental and numerical verification, and thus to turn pure economics, as far as possible, into a science in the strict sense of the word.
Ragnar Frisch (1926) "On a Problem in Pure Eco­nomics: Translated by JS Chipman." Preferences, Utility, and Demand: A Minnesota Symposium. 1926."
Econometrics
(Econometrics is) the unification of economic theory, statistics and mathematics.
Ragnar Frisch, quoted in: Warren Page (2013) Applications of Mathematics in Economics. p. 75
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