Informatics and econometrics

The Big Data Analytics specialization is focused mainly on methods of analysis of the massive datasets. Within this specialization the students will get acquainted with the technologies used for storing, processing and analyzing large data sets and with other quantitative methods of economic analysis,the computer science tools and their practical applications.

The students will acquire practical skills in building analytical solutions on big data platforms. They will become familiar with distributed and parallel processing systems. They will learn how to use basic tools to visualize large data sets. The specialization is focused on the use of high level programming languages, as well as on the design and programming of the databases.

The graduates will be able to incorporate the available methods and tools into the computer analysis systems.

Candidates eligible for the qualification process include those:

• 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.

Document confirming knowledge of English at level not lower than B2 is also required.

See details na the University website.

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.

Graduates may find employment in:

• analytical departments of banks and financial advisory firms,
• brokerage houses,
• central and local government administration,
• agricultural information processing centers supporting the EU Common Agricultural Policy,
• IT companies,
• research and scientific institutions.

Studying Informatics and Econometrics is a great choice for those who want to combine modern technologies with economic analysis and business. The programme provides valuable skills in programming, data analysis, economic modelling and the use of IT tools to support decision-making processes. I recommend this field of study to anyone who wants to develop in the area of the digital economy and gain competencies that are highly valued in finance, business, IT and data analytics.