Data Science
Lithuania, Vilnius
| Study location | Lithuania |
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| Type | Postgraduate, full-time |
| Nominal duration | 1.5 years (90 ECTS) |
| Study language | English |
| Awards | (Master in Mathematical Science) |
| Course code | 6211AX004 |
| Tuition fee | €5,500 per year |
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| Application fee | €100 per year The application fee is non-refundable. |
| Entry qualification | Undergraduate diploma (or higher) N.B. for non-EU/EFTA applicants: the gap since your completed Bachelor degree should not exceed five years. Basic knowledge of Calculus, Matrix Algebra, Probability Theory, Statistics, and Informatics (R, Python, or similar software) is required and can be assessed during the interview. Candidates will be invited to attend a remote motivational interview if the Data Science Programme Admission Committee has any inquiries following the evaluation of their application. Important: additional country-specific requirements are set only for the following countries which you can find HERE (STEP 2) 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. 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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| Territory requirements | Applications are NOT accepted from the following territories (based on citizenship): Belarus, Russia. |
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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) should be provided. A motivation letter must be added to your application. |
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| More information |
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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 Data Science 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
Eastern European Time