Informatics and Econometrics in English (spec. Big Data Analytics)
recruitment:
Candidates eligible for the qualification process include those:- Holding a relevant diploma obtained in the Polish education system:
- first-cycle diploma in informatics and econometrics
- first-cycle diploma in informatics
- first-cycle diploma in economics
- first-cycle diploma in finance and accounting
- first-cycle diploma in logistics - Holding a diploma requiring verification of alignment of learning outcomes:
- a diploma from another first-cycle study program or long-cycle master's studies obtained in the Polish education system, or
- a foreign diploma (Bachelor’s degree or equivalent) in informatics and econometrics or related field of study entitling the holder to apply for second-cycle studies in the country of issue.
Method of verifying the alignment of learning outcomes: A scan of the diploma supplement or a certified transcript from the university listing subjects, hours, grades, and ECTS points completed in the study program based on which the candidate applies for admission is verified. The candidate uploads the specified documents to their profile in the IRK system. If any discrepancies in learning outcomes are identified through analysis, the student will be required to make up for the competency gaps during their second-cycle studies by completing and passing the subjects indicated by the committee, not exceeding 30 ECTS. Candidates who have had their expected learning outcomes positively verified are considered further in the qualification process.
Candidates whose English language proficiency at a minimum B2 level has been confirmed through the acceptance of an uploaded language certificate in the IRK or through an interview verifying English language proficiency at the same level are eligible for the qualification process.
Candidates who meet the above requirements are qualified based on the arithmetic average of all final grades from the subjects included in the program of completed studies. The result, based on which the ranking list is created, is the product of the aforementioned average and the alignment coefficient.
obtained title: master
Stationary
expected admissions limit: 15
beginning of classes: winter recruitment
duration of studies: 2 years (4 semestry)
Language of instruction: English
Description of direction
The field of study prepares specialists for the analysis and modeling of economic phenomena. The student learns the mathematical foundations of economics and its practical aspects. They acquire the ability to use a wide range of statistical and computational tools in practice. He also acquires IT competences, including programming and its use for calculations in economics. Graduates have a thorough knowledge of econometrics and computational methods in economics. They master the basics of actuarial methods and insurance market issues. They have practical skills in analyzing, modeling and optimizing economic processes. Their competences also include knowledge of computer techniques such as programming, designing information systems, as well as their use in economic research and management. Depending on the level of studies, students can broaden their knowledge in the following areas:
• statistics and econometrics,
• financial engineering,
• mass data analysis technologies – big data,
• business intelligence systems,
• advanced data analytics.
Study program
Career prospects
Graduates may be employed in:
• analysis departments of banks and financial advisory companies,
• brokerage houses,
• state and local government administration,
• agricultural information processing centers for the purposes of the common agricultural policy of the EU,
• computer companies,
• scientific and research institutions.