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Data Science
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Summary of the Profile
General Description:
Objective(s) of a study programme:
To educate internationally recognized professionals in Econometrics and Data analytics who expertly utilize the up-to-date knowledge of economics and data science in developing mathematical (statistical) models for business and public institutions for planning, management, forecasting and evaluation of their activities.
Learning outcomes:
Activities of teaching and learning:
Methods of assessment of learning achievements:
Framework:
Study subjects (modules), practical training:
Study program of Econometrics specialization consists of: compulsory courses in econometrics, economics and statistics fields (45% total credits); optional courses in economics, econometrics and statistics fields (22% total credits); and Master's thesis preparation and defence (33% of total credits).
Study program of Data science consists of: compulsory courses in informatics and statistics fields (39% of total credits); optional courses in informatics, econometrics and statistics fields (28% of total credits); and Master's thesis preparation and defence (33% of total credits).
Specialisations:
Econometrics; Data Science
Optional courses:
Distinctive features of a study programme:
The programme is the only in Baltic States, which contains advanced courses in economics, econometrics, informatics, data analytics and mathematical statistics. Teachers are actively involved in research at the international level with an extensive experience in applied projects.
Access to professional activity or further study:
Access to professional activity:
The Masters in Econometrics are able to work in research centres; governmental economy planning institutions, consulting firms; fiscal sector (pension funds, stock exchange, insurance companies, commercial banks, Hi Tech startups); the analysis and planning sectors of business enterprises.
Access to further study:
Successful completion of the programme can be continued by doctoral studies in economics, econometrics, data analytics and/or statistics in Lithuania and any foreign university.
