Wrocław, Poland

Economics and Data Analysis

Bachelor's
Table of contents
jakub-zerdzicki-puYe3yLXkv4-unsplash

⇑Economics and Data Analysis at Merito Wrocław

Language: EnglishStudies in English
Subject area: economy and administration
Kind of studies: full-time studies
  • Description:

  • pl

⇑Why study Economics and Data Analysis at WSB Merito University in Wrocław?

Dlaczego warto studiować w Merito Wrocław
Why study it:

This is a three-year bachelor's programme at WSB Merito University in Wrocław that combines economics with hands-on work on data. It is taught full-time and suits school-leavers who want to analyse business information in English and are comfortable with numbers and programming.

Programme: econometrics, data and programming

Your core classes include Econometrics, Statistical Inference, Data Modelling and Forecasting and Data Visualisation, alongside Databases and Big Data and Basics of Programming. Financial Accounting shows you where business figures come from.

Along the way you work with SQL and Power BI, analyse real economic data in projects and case studies, and take part in a Business Game. Statistical methods help you interpret results in a business setting, while visualisation techniques teach you to turn raw figures into clear reports and presentations. You also study the basics of economics and finance, which gives context to the companies whose data you analyse.

Specialisation: financial data analyst

You follow one specialisation: Financial Data Analyst. Its classes include Analysis of Financial Instruments, Advanced Statistical Analysis, Basics of Programming in Python, Low-Code Programming and Automation of Business Processes.

Languages: everything in English

Every class on this programme is taught in English, so you pick up the vocabulary of economics and analytics while you study. Additional classes are devoted to deepening your command of the language. This suits the kind of career the programme points to, working in international companies that need analysts who combine data skills with fluent English.

After graduation: career paths

Graduates can work as financial data analysts who prepare reports behind strategic decisions, or as Big Data specialists who look for key trends in large datasets.

Other routes lead to data analysis consulting, where you help firms manage their data effectively, to data visualisation, where you present results clearly, and to analytical programming, where you design tools that support analysis. The programme also prepares you for work in international firms.

Based on the programme pages at merito.pl.

⇑Test: Is Economics and Data Analysis the right fit for you?

students-analysing-economic-data-charts-on-laptops

10 questions · two minutes

1. You receive a spreadsheet with ten thousand rows of household spending data. What’s your first reaction?

2. A headline claims that ice cream sales cause drownings because both rise at the same time. What do you think?

3. How do you feel about learning a programming language such as Python or R to analyse data?

4. A local café asks you to estimate how many customers it will have next month. What do you do?

5. How do you feel about statistics – probability, distributions and regression?

6. Which economic question would you most like to answer using data?

7. The programme is taught in English, and you’ll do data projects in teams with students from many countries. How do you feel about that?

8. You have to present your analysis to managers who don’t know statistics. How do you approach it?

9. Your model gives a surprising result that contradicts what everyone expected. What do you do?

10. What motivates you most to study Economics and Data Analysis?

⇑Definitions and quotes

Analysis
Analysis is the process of breaking a complex topic or substance into smaller parts in order to gain a better understanding of it. The technique has been applied in the study of mathematics and logic since before Aristotle (384–322 B.C.), though analysis as a formal concept is a relatively recent development.
Data
Data ( DAY-tə, DAT-ə, DAH-tə) is a set of values of qualitative or quantitative variables.
Data Analysis
Data analysis is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions, and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, in different business, science, and social science domains.
Economics
Economics () is the social science that studies the production, distribution, and consumption of goods and services.
Analysis
Analysis and natural philosophy owe their most important discoveries to this fruitful means, which is called induction. Newton was indebted to it for his theorem of the binomial and the principle of universal gravity.
Laplace, A Philosophical Essay on Probabilities, [Truscott and Emory] (New York 1902), p. 176.
Economics
Magnum vectigal est parsimonia.
Economy is a great revenue.
Analysis
The terms synthesis and analysis are used in mathematics in a more special sense than in logic. In ancient mathematics they had a different meaning from what they now have. The oldest definition of mathematical analysis as opposed to synthesis is that given in Euclid, XIII. 5, which in all probability was framed by Eudoxus: "Analysis is the obtaining of the thing sought by assuming it and so reasoning up to an admitted truth; synthesis is the obtaining of the thing sought by reasoning up to the inference and proof of it."
Florian Cajori, A History of Mathematics (1893). p. 30

Contact:

ul. Fabryczna 29-31
53-609 Wrocław
StudentNews Group Websites for students and future students — in Poland since 2007, across Europe since 2014. Over 50 websites and millions of users a year (Google Analytics). Studies in Europe Universities in Europe Bachelor’s Master’s Doctorate MBA Study guide Work abroad Travel For partners Advertising and cooperation Reach (online report) Contact advertising@studentnews.eu © 2003–2026 Grupa StudentNews.pl sp. z o.o., Modlnica, Poland
Privacy Policy