Informatics and Econometrics
Basic information:
- studies in the field of: Informatics and Economic Analysis
- name of the programme: Informatics and econometrics
- studies: part-time first-cycle programme, track: general academic
- leading discipline: economics and finance
First-cycle studies in Informatics and econometrics combine education in the field of economics, finance and business with competences in the area of modern technologies and information technology.
First-cycle students study data analysis, modelling, forecasting and risk management; key issues in the field of micro- and macroeconomics, accounting and finance; the principles of programming and operating IT systems; Big data issues. They also work with databases.
First-cycle graduates in Informatics and econometrics can start working as:
- an analyst of economic processes in organizations where business decision-making needs to be preceded by in-depth quantitative analyses with the use of information technologies;
- an IT manager who is able to work creatively and efficiently in Economy 4.0 on an international scale;
- a specialist in the field of IT solutions, a leader of project teams;
- an information broker, designer of IT solutions for business, designer of websites and network services, specialist in IT audit;
- a specialized analyst using their knowledge and skills of modeling and forecasting economic and financial quantities, and of financial-instrument valuation (quant).
First-cycle graduates can continue their education in second-cycle or postgraduate studies.
Subject | Number of hours | ECTS points | Form of verification | Code | Block |
---|---|---|---|---|---|
Algorithms and data structures
|
Lectures:
9 Classes: 18 |
4 | Assessment | 1 | B |
Economic computer science
|
Lectures:
18 Classes: 18 |
7 | Exam | 1 | B |
Foreign Language
|
Foreign languages:
30 |
2 | Assessment | 5 | A |
Financial and insurance mathematics
|
Classes:
24 |
2 | Assessment | 1 | B |
Mathematics I
|
Lectures:
18 Classes: 18 |
7 | Exam | 1 | A |
Information technologies
|
Lectures:
18 Classes: 18 |
6 | Assessment | 1 | B |
An introduction to R
|
Classes:
14 |
2 | Assessment | 1 | B |
Sum | 203 | 30 | |||
Sum (Lectures) | 63 | ||||
Sum (Classes) | 110 | ||||
Sum (Foreign languages) | 30 |
Subject | Number of hours | ECTS points | Form of verification | Code | Block |
---|---|---|---|---|---|
Foreign Language
|
Foreign languages:
30 |
2 | Assessment | 5 | A |
Mathematics II
|
Lectures:
27 Classes: 18 |
8 | Exam | 1 | A |
Microeconomics
|
Lectures:
18 Classes: 18 |
6 | Exam | 1 | A |
Computer programming I
|
Lectures:
18 Classes: 18 |
8 | Exam | 1 | B |
Descriptive statistics
|
Lectures:
18 Classes: 18 |
6 | Exam | 1 | B |
Sum | 183 | 30 | |||
Sum (Foreign languages) | 30 | ||||
Sum (Lectures) | 81 | ||||
Sum (Classes) | 72 |
Subject | Number of hours | ECTS points | Form of verification | Code | Block |
---|---|---|---|---|---|
Operations research
|
Lectures:
18 Classes: 18 |
6 | Exam | 1 | B |
Finance
|
Lectures:
18 |
2 | Assessment | 1 | B |
Foreign Language
|
Foreign languages:
30 |
3 | Exam | 5 | A |
Macroeconomics
|
Lectures:
18 Classes: 18 |
6 | Exam | 1 | A |
Law
|
Lectures:
18 |
3 | Exam | 1 | A |
Computer programming II
|
Classes:
15 |
2 | Assessment | 1 | B |
Probability theory
|
Lectures:
18 Classes: 9 |
5 | Exam | 1 | B |
Statistical data analysis
|
Lectures:
18 |
3 | Assessment | 1 | C |
Sum | 198 | 30 | |||
Sum (Lectures) | 108 | ||||
Sum (Classes) | 60 | ||||
Sum (Foreign languages) | 30 |
Subject | Number of hours | ECTS points | Form of verification | Code | Block |
---|---|---|---|---|---|
Accounting
|
Lectures:
18 Classes: 18 |
5 | Exam | 1 | B |
Econometrics
|
Lectures:
21 Classes: 27 |
7 | Exam | 1 | B |
IT Project organization
|
Lectures:
12 Classes: 18 |
5 | Exam | 1 | B |
Statistical mathematics
|
Lectures:
12 Classes: 18 |
5 | Assessment | 1 | B |
Spatial econometrics
|
Lectures:
12 |
2 | Assessment | 1 | C |
Information system security
|
Lectures:
18 |
3 | Assessment | 1 | C |
Corporate financial analysis
|
Lectures:
18 |
3 | Assessment | 1 | C |
Sum | 192 | 30 | |||
Sum (Lectures) | 111 | ||||
Sum (Classes) | 81 |
Subject | Number of hours | ECTS points | Form of verification | Code | Block |
---|---|---|---|---|---|
Database
|
Lectures:
12 Classes: 30 |
6 | Exam | 1 | B |
Logic
|
Lectures:
18 |
3 | Assessment | 1 | A |
Marketing
|
Classes:
9 |
1 | Assessment | 1 | B |
Management methods and techniques
|
Lectures:
9 |
1 | Assessment | 1 | B |
Fundamentals of Artificial Intelligence
|
Lectures:
12 |
2 | Assessment | 1 | B |
Diploma seminar
|
Seminars:
18 |
5 | Assessment | 1 | C |
Wykład specjalistyczny do wyboru I
|
Lectures:
18 |
4 | Assessment | 5 | C |
Wykład specjalistyczny do wyboru II
|
Lectures:
18 |
4 | Assessment | 5 | C |
Wykład specjalistyczny do wyboru III
|
Lectures:
18 |
4 | Assessment | 5 | C |
Sum | 162 | 30 | |||
Sum (Lectures) | 105 | ||||
Sum (Classes) | 39 | ||||
Sum (Seminars) | 18 |
Subject | Number of hours | ECTS points | Form of verification | Code | Block |
---|---|---|---|---|---|
Przedmiot humanistyczny do wyboru
|
Lectures:
18 |
3 | Assessment | 5 | A |
Diploma seminar
|
Seminars:
18 |
12 | Assessment | 1 | C |
Wykład do wyboru w języku obcym
|
Lectures:
30 |
3 | Assessment | 5 | C |
Wykład specjalistyczny do wyboru IV
|
Lectures:
18 |
3 | Assessment | 5 | C |
Wykład specjalistyczny do wyboru V
|
Lectures:
22 |
3 | Assessment | 5 | C |
Wykład specjalistyczny do wyboru VI
|
Lectures:
18 |
3 | Assessment | 5 | C |
Wykład specjalistyczny do wyboru VII
|
Lectures:
18 |
3 | Assessment | 5 | C |
Sum | 142 | 30 | |||
Sum (Lectures) | 124 | ||||
Sum (Seminars) | 18 |