M.A.Data Science
| Место обучения | Литва, Вильнюс |
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| Тип | Магистр, полная академическая нагрузка |
| Номинальная продолжительность | 1.5 года/лет (90 ECTS) |
| Язык обучения | английский |
| Присваиваемая квалификация | M.A. (Master in Mathematical Science) |
| Плата за обучение | 5 200 € за год |
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| Плата за рассмотрение заявления | 100 € один раз |
| Регистрационный взнос | Уточняется You need to choose an individual service package. Please contact the center curator or your agent and consult. You become a part of student union and ambassador program automatically after you will get Base or Standard or VIP status. *Do not forget to ask discount |
| Полученное образование | Диплом о получении высшего образования первой ступени (или выше) Basic knowledge of Calculus, Matrix Algebra, Probability Theory, Statistics, and Informatics (R, Python, or similar program) is required and can be checked during the interview. Applicants may be asked to attend a motivational interview in order to evaluate their programme selection factors and English language skills. Motivational interviews are held remotely. Important: additional country-specific requirements are set only for the following countries which you can find HERE (STEP 2) Документы об образовании принимаются на следующих языках: английский / литовский. Often you can get a suitable transcript from your school. If this is not the case, you will need official translations along with verified copies of the original. Often you can get a suitable transcript from your school. If this is not the case, you will need official translations along with verified copies of the original. Translation is considered to be official when it is bound together with the certified true copy of the original document and is confirmed by the translator’s signature. Documents issued in English, Lithuanian must be certified true copies and do not require translation. |
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| Языковые требования | английский |
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| Другие требования | Следует предоставить не менее 2 рекомендации(й). |
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Обзор
The aim of the 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.
Карьерные возможности
The analytical modelling, planning, and forecasting work opportunities at various levels are open for Masters in Econometrics in: research centres; financial institutions in 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.
