Economic Data Analytics
Basic information:
- studies in the field of: Economics
- name of the programme: Economic data analytics
- studies: full-time second-cycle programme, track: general academic
- leading discipline: economics and finance
The Economic data analytics programme focuses on the development of analytical competences (in relation to quantitative and qualitative data), on their use to evaluate public policies and business ventures, and on developing the ability to communicate the results of analyses.
The educational content of the programme can be assigned to five thematic blocks:
- research block - quantitative methods (example subjects: applied statistics, data analysis with R, questionnaire surveys),
- research block - qualitative methods (focus studies and in-depth interviews, case study and document analysis),
- evaluation block (quantitative evaluation methods),
- block of public politics / challenges of the 21st century (problems of developing countries, international economic relations),
- communication block (public speaking, data presentation and visualisation techniques).
The competences developed as part of the programme are useful in all professions requiring the skills of analytical thinking and applying research methods: in marketing, consulting, business analysis and economic consulting, economic journalism. For academically inclined students, the programme is a preparation for studies at the Doctoral School.
Examples of jobs related to the programme:
- business analyst,
- media analyst,
- database specialist
- visual presentation specialist,
- Biga Data consultant,
- market research specialist,
- academic researcher, publicist.
Subject | Number of hours | ECTS points | Form of verification | Code | Block |
---|---|---|---|---|---|
Data analysis with R
|
Classes:
30 |
3 | Assessment | 1 | B |
Public sector economics
|
Lectures:
30 |
3 | Exam | 1 | A |
Ethics in research
|
Lectures:
15 |
2 | Assessment | 1 | A |
History of economics thought
|
Lectures:
30 |
3 | Exam | 1 | A |
Specialized English
|
Foreign languages:
30 |
2 | Assessment | 1 | B |
International economics
|
Lectures:
30 |
3 | Assessment | 1 | A |
Economic policy
|
Lectures:
15 Classes: 15 |
3 | Exam | 1 | A |
Problems of developing countries
|
Lectures:
30 |
3 | Exam | 1 | B |
Applied statistics
|
Classes:
30 |
3 | Assessment | 1 | B |
Introduction to qualitative research
|
Lectures:
15 Classes: 15 |
3 | Assessment | 1 | B |
Public speeches and interpersonal communication
|
Classes:
30 |
2 | Assessment | 1 | A |
Sum | 315 | 30 | |||
Sum (Classes) | 120 | ||||
Sum (Lectures) | 165 | ||||
Sum (Foreign languages) | 30 |
Subject | Number of hours | ECTS points | Form of verification | Code | Block |
---|---|---|---|---|---|
Data Analysis in SQL
|
Classes:
30 |
3 | Exam | 1 | B |
Regression analysis
|
Classes:
30 |
3 | Assessment | 1 | B |
Survey research
|
Classes:
30 |
3 | Assessment | 1 | B |
In-depth interviews and focus groups
|
Classes:
30 |
3 | Assessment | 1 | B |
Computer-assisted qualitative data analysis
|
Classes:
30 |
3 | Assessment | 1 | B |
Specialized English
|
Foreign languages:
30 |
2 | Exam | 1 | B |
Programming and Data Analysis in Python
|
Classes:
30 |
3 | Exam | 1 | B |
Diploma seminar
|
Seminars:
15 |
1 | Assessment | 1 | C |
Case studies and desk research
|
Classes:
30 |
3 | Assessment | 1 | B |
Elective course I
|
Lectures:
60 |
6 | Assessment | 5 | A |
Sum | 315 | 30 | |||
Sum (Classes) | 210 | ||||
Sum (Foreign languages) | 30 | ||||
Sum (Seminars) | 15 | ||||
Sum (Lectures) | 60 |
Subject | Number of hours | ECTS points | Form of verification | Code | Block |
---|---|---|---|---|---|
Experiments in social research
|
Classes:
15 |
2 | Assessment | 1 | C |
Commercialization and communication of research results
|
Lectures:
15 |
2 | Assessment | 1 | C |
Konwersatorium w języku obcym
|
Lectures:
30 |
3 | Assessment | 5 | B |
Research laboratory - quantitative methods
|
Classes:
30 |
2 | Assessment | 1 | C |
Research laboratory - qualitative methods
|
Classes:
30 |
3 | Assessment | 1 | C |
Diploma seminar
|
Seminars:
15 |
3 | Assessment | 1 | C |
Presentation techniques and data visualization
|
Classes:
30 |
3 | Assessment | 1 | B |
Elective course II
|
Lectures:
30 |
3 | Assessment | 5 | B |
Elective course III
|
Lectures:
90 |
9 | Assessment | 5 | B |
Sum | 285 | 30 | |||
Sum (Classes) | 105 | ||||
Sum (Lectures) | 165 | ||||
Sum (Seminars) | 15 |
Subject | Number of hours | ECTS points | Form of verification | Code | Block |
---|---|---|---|---|---|
Elective course IV
|
Lectures:
90 |
9 | Assessment | 5 | C |
Elective course V
|
Lectures:
60 |
6 | Assessment | 5 | C |
Quantitative evaluation methods
|
Lectures:
15 Classes: 30 |
3 | Assessment | 1 | C |
Contemporary challenges on the labour market
|
Lectures:
30 |
3 | Exam | 1 | B |
Diploma seminar
|
Seminars:
30 |
6 | Assessment | 1 | C |
Sustainable development for the 21st century
|
Lectures:
30 |
3 | Exam | 1 | A |
Sum | 285 | 30 | |||
Sum (Lectures) | 225 | ||||
Sum (Classes) | 30 | ||||
Sum (Seminars) | 30 |