M.A.Data Science
| Study location | Lithuania, Vilnius |
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| Type | Master, full-time |
| Nominal duration | 1.5 years (90 ECTS) |
| Study language | English |
| Awards | M.A. (Master in Mathematical Science) |
| Course code | 6211AX004 |
| Tuition fee | €5,266 per year |
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| Application fee | €100 one-time |
| Registration fee | To be confirmed 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 |
| Entry qualification | Undergraduate diploma (or higher) 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. The entry qualification documents are accepted in the following languages: English / Lithuanian. 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. You must take the original entry qualification documents along with you when you finally go to the university. |
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| Language requirements | English IELTS 5.5+; iBT TOEFL 65+ If your first language is English and/or if you have a university degree in English, you will be exempt from providing an English language test score. |
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| Other requirements | At least 2 reference(s) must be provided. A motivation letter must be added to your application. Motivational interviews are held remotely. |
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Overview
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.
Career opportunities
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.
Eastern European Time
Winter intake
Eastern European Time
Winter intake