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Objective(s) of a study programme: Objective is to develop internationally competitive specialists who are able to find a consistent pattern of large data arrays, and provide practical guidance based fulfillment of tasks. Partial goals and skills: • Ability to plan experiments, statistical data collection and to prepare them for further analysis • Ability to apply statistical models and real data analysis (classical antiquities smells can be replaced - "modern") • Can perform real data statistical analysis software packages help • Critically review and summary of the results is able to properly present the findings and recommendations applicable to the scope of the analysis and understanding of other professionals Learning outcomes: • Has the foundations of mathematics and statistics and is able to put the knowledge into statistical work in practice • Is able to use statistics / mathematics software for statistical work in practice • Has the knowledge of statistical applications in different fields (especially ecology, environment) and is able to adapt statistical work in practice. • Is able to formulate research work aims and objectives, plan of statistical surveys; prepare reports of statistical data analysis, interpret the results of statistical analysis, to formulate conclusions also apply known techniques of statistical information; • Ability to carry out statistical projects while working independently and in a group. • Adequately perceive the role of statistics, communicate constructively with colleagues ...
Provider NameKlaipeda University
Aim(s) of a study programme: To develop the students’ ability in econometric modelling, providing the students with knowledge of modern statistics and economics, which will be useful in data collecting, systemizing, analysing and interpretation and understanding economic processes. To teach students applications of statistical methods in economics, finance and other areas related with uncertainty; critically evaluate statistical information and to explain it to the experts; to work individually and in team, constantly raise the level of knowledge. Learning outcomes: 1. collect, analyse and interpret information independently, develop ideas and argue critically them; 2. apply the knowledge obtained in economics and statistics in the development of the econometric projects; 3. apply specialized computer programs (R, EVIEWS, GRETL) for data analysis; 4. understand and to explain to others the importance of statistical information and the relevance in modern world; 5. choose an appropriate statistical test for hypothesis testing; 6. make linear regression models, structural and reduced vector models, estimate their parameters, test hypothesis for parameters, interpret the results obtained and to apply these results in practice; 7. apply time series models (ARIMA, GARCH, VECM) for real data, estimate their parameters, interpret the results obtained and to apply those models in practice; 8. know the principles, concepts and models of microeconomics and macroeconomics; 9. understand economic processes and be able cri ...
Provider NameVilnius University
Objective(s) of a study programme: To prepare a specialist with profound integrated knowledge in statistics and related fields of mathematics, which be able to apply it for analyzing statistical data. The graduates will also be able to use the prevalent statistical software, to work with databases, to work in a group and to study autonomously. Learning outcomes: The graduates: 1) will understand basic concepts and results of various mathematical disciplines and statistics and will be able to apply them; 2) will understand mathematical proofs; 3) will be able to design and implement a statistical survay, to prepare data for further analysis; 4) will be able to aggregate and visualize statistical data; 5) will be able to choose an appropriate statistical model and to formulate a statistical problem; 6) will know the methods of solving standard statistical problems and will be able to choose the right one; 7) will be able to write computer programs in at least two programming languages; 8) will be able to design, implement and manage relational databases; 9) will know the syntax and main libraries of the R package and will be able to apply it in statistical analysis; 10) will be able to use the SAS system in solving statistical problems; 11) will be able to implement algorithms in SAS programming language, to use the SAS macro language and the SAS interactive matrix language (SAS IML); 12) will be able to communicate to specialists in various areas, to formulate a practical task in mathematical language, to solv ...
Provider NameVilnius University
Objective(s) of a study programme: to prepare a high-level specialist, which could critically analyze existing statistical methods, as well as newly emerging ones, be able to apply them in non-standard situations, be ready to extend autonomously his knowledge in the selected field of statistics. Learning outcomes: The graduates will: 1) be able to analyze complex real processes using methods of probability theory and mathematical statistics and interdisciplinary knowledge; 2) be able to present the results of a research to the specialists in statistics and other areas, following professional ethics; 3) be able to analyze the results and methods of mathematical statistics presented in the newest scientific literature; 4) be able to master new programming software for non-standard problem solving; 5) understand differences between classical and Bayes approach to statistics; 6) be able to investigate properties of sophisticated statistics; 7) be able to apply the newest achievements in the Markov processes theory; 8) be able to analyze statistics of dependent samples; 9) be able to choose and adapt appropriate quality control schemes and control charts of technological processes; 10) be able to choose and modify models of survival analysis and reliability theory used in engineering, medicine and biology; 11) know and be able to apply the newest statistical methods for analyzing big data arrays; 12) know the mathematical substantiation and limits of application of these methods. Activities of teaching and learning ...
Provider NameVilnius University
Future statisticians study algebra and geometry, combinatorics, probability theory, object programming, operational systems, optimisation methods, etc. Professional training is organised at institutions that require statistical data analysis. The duration of training is 480 hours. The organisation is introduced and statistical data collection, analysis, systematising, making conclusions and solving problems, thinking, and other skills are reinforced and improved during the training. This programme in statistics is intended for individuals who have acquired a secondary education and would like to become statisticians. ...
Provider NameVilnius University
Future holders of a master’s degree in statistics study econometrics, asymptotic statistics, microeconomic analysis, financial econometrics, multidimensional statistics, etc. Professional training is not planned. This econometrics programme is intended for individuals who have acquired a bachelor’s degree in econometrics, mathematics, economics, statistics, or physics and would like to earn a master’s degree in statistics. ...
Provider NameVilnius University
Future holders of a master’s degree in statistics and operational research study applied statistics, the dynamics of physiological systems, mathematical methods in ecology, scholastic models in physics, operational research, spatial statistics, econometrics, system identification methods, etc. Professional training is not planned. This statistics and operational research programme is intended for individuals who have acquired a bachelor’s degree and would like to become masters of statistics. ...
Provider NameKlaipeda University
The future Masters in Statistics study the following extension courses: Statistical Software Systems, Insurance Mathematical Models, Statistical Analysis by Sampling Methods, Statistical Models in Economics, Mathematical Models of Financial Markets, Analysis and Forecasting of Economical Indicators. The three following general courses are studied: Operation Research, Fundamentals of Theory of Stochastic Approximation and Data Analysis Methods. ...
Provider NameVilnius Gediminas Technical University
Taikomosios statistikos ir ekonometrijos studijų programos tikslas - parengti statistikos bakalaurus, turinčius teorinių ir praktinių žinių apie statistinės duomenų analizės metodus bei modelius ir sugebančius šias žinias taikyti realiems ekonomikos, ūkio, draudos, finansų rinkų, biomedicinos, biologijos, sociologijos, technikos uždaviniams spręsti. Būsimieji statistikos bakalaurai studijuoja šiuos kvalifikacijos dalykus: Mikroekonomika, Makroekonomika, Ekonometrija 1, 2, Duomenų analizė, Technometrija, Statistinė kokybės kontrolė, Ūkio statistika, Imčių metodai, Statistinė programinė įranga, Masinio aptarnavimo teorija, Statistinė investicijų analizė, Duomenų bazių valdymas. Visi būsimieji statistikos bakalaurai turi atlikti pažintinę (3 kreditai) ir gamybinę praktiką, kuri yra 12 kreditų apimties. ...
Provider NameVilnius Gediminas Technical University
Future holders of a master’s degree in statistics study multidimensional statistics, selected topics in mathematics, statistics of finite populations, quality control systems, scholastic methods of reliability, etc. Professional training is not planned. This statistics programme is intended for individuals who have acquired a bachelor’s degree in mathematics or statistics and would like to become masters of statistics. ...
Provider NameVilnius University