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The aim of the Data Science programme is to educate internationally recognised professionals in Data Science who are experts in utilising the up-to-date knowledge of statistics, econometrics and data science in developing advanced mathematical (statistical) models for private and public institutions, for the purposes of planning, management, forecasting and evaluations of their activities.

Key Learning Outcomes:

After completing the course, the students should be able to: independently model, estimate and test relationships between variables; practically apply the basic principles of data science when analysing real data and forecasting processes; analyse big data; professionally operate data science software; learn R and Python programming skills; and work with various databases.

Why choose this programme?

• It’s the only study programme in the Baltics that includes advanced courses in econometrics, informatics and mathematical statistics.
• The programme is interdisciplinary, combining the subjects of data analysis, informatics and mathematical statistics.
• Depending on the student’s choice, it is possible to choose specific subjects from the fields of statistics, informatics or econometrics.
• Specialists in Data Science are very much in demand throughout the world. Data surrounds us, and everyone wants to obtain information from this data; thus, data analysis specialists are very much sought after. Data analysis is also versatile, so our graduates will get the opportunity to work in various fields. There’s no more monotonous tasks, as a computer can do these for you – but you will control the process, understand and create new methodologies, and present your results to clients and colleagues.

What comes after?

Analytical modelling, planning and forecasting work opportunities at various levels are open for Master’s in Data Science graduates at research centres, financial institutions in the private sector (e.g. pension funds, stock exchanges, insurance companies, commercial banks, Hi-Tech start-ups), consulting firms, the analysis and planning units of business enterprises, central banks, ministries, and other public sector institutions.