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2022/2023 stacjonarne studia pierwszego stopnia (licencjackie) UEP

Informatics and Econometrics

Basic information:

 

  • studies in the field of: Informatics and Economic Analysis
  • name of the programme: Informatics and econometrics
  • studies: full-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.

 

Students profile their study path by choosing one of the four specializations: business analytics, electronic business, information systems for business and administration, financial engineering and a number of elective courses.

 

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 modelling 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: 15
Classes: 15
4 Assessment 1 B
Economic computer science
Lectures: 30
Classes: 30
7 Exam 1 B
Financial and insurance mathematics
Classes: 30
3 Assessment 1 B
Mathematics I
Lectures: 30
Classes: 30
7 Exam 1 A
Law
Lectures: 15
2 Assessment 1 A
Information technologies
Lectures: 30
Classes: 30
7 Assessment 1 B
Sports
Sports: 30
- Assessment 1 A
Subject Number of hours ECTS points Form of verification Code Block
Foreign language I
Foreign languages: 30
2 Assessment 5 B
Foreign language II
Foreign languages: 30
2 Assessment 5 B
Mathematics II
Lectures: 45
Classes: 30
7 Exam 1 A
Microeconomics
Lectures: 30
Classes: 30
6 Exam 1 A
Computer programming I
Lectures: 30
Classes: 30
7 Exam 1 B
Descriptive statistics
Lectures: 30
Classes: 30
6 Exam 1 B
Sports
Sports: 30
- Assessment 1 A
Subject Number of hours ECTS points Form of verification Code Block
Operations research
Lectures: 30
Classes: 30
6 Exam 1 C
Foreign language I
Foreign languages: 30
2 Assessment 5 B
Foreign language II
Foreign languages: 30
2 Assessment 5 B
Macroeconomics
Lectures: 30
Classes: 30
5 Exam 1 A
Computer programming II
Classes: 15
2 Assessment 1 B
Probability theory
Lectures: 30
Classes: 15
5 Exam 1 B
Statistical mathematics
Lectures: 15
Classes: 30
5 Assessment 1 B
Speciality: Business analytics
Speciality: Electronic Business
Speciality: Financial Engineering
Speciality: Information Systems for Business and Administration
Subject Number of hours ECTS points Form of verification Code Block
Econometrics
Lectures: 30
Classes: 45
6 Exam 1 B
Spatial econometrics
Lectures: 15
2 Assessment 1 C
Finance
Lectures: 30
3 Exam 1 A
Foreign language I
Foreign languages: 30
2 Assessment 5 B
Foreign language II
Foreign languages: 30
2 Assessment 5 B
IT Project organization
Lectures: 15
Classes: 30
4 Exam 1 B
Accounting
Lectures: 30
Classes: 30
5 Exam 1 A
Speciality: Business analytics
Speciality: Electronic Business
Speciality: Financial Engineering
Speciality: Information Systems for Business and Administration
Subject Number of hours ECTS points Form of verification Code Block
Database
Lectures: 15
Classes: 45
6 Exam 1 B
Foreign language I
Foreign languages: 30
2 Assessment 5 B
Foreign language II
Foreign languages: 30
2 Assessment 5 B
Fundamentals of mathematical economics
Lectures: 30
Classes: 15
5 Exam 1 B
Fundamentals of Artificial Intelligence
Lectures: 30
2 Assessment 1 B
Specialitsation elective I
Lectures: 15
2 Assessment 5 C
Diploma seminar
Seminars: 30
5 Assessment 1 C
Speciality: Business analytics
Speciality: Electronic Business
Speciality: Financial Engineering
Speciality: Information Systems for Business and Administration
Subject Number of hours ECTS points Form of verification Code Block
Przedmiot specjalnościowy II do wyboru
Lectures: 30
3 Assessment 5 C
Diploma seminar
Seminars: 30
12 Assessment 1 C
Wykład do wyboru w języku obcym
Lectures: 30
4 Assessment 5 D(C)
Wykład ogólny do wyboru
Lectures: 30
3 Assessment 5 A
Speciality: Business analytics
Speciality: Electronic Business
Speciality: Financial Engineering
Speciality: Information Systems for Business and Administration