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This page provides you with information and links to opportunities to learn or study in another EU country. You can scroll down to find all information. You can filter the results by using the filters on the left.

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Search found 12 items
  1. Biomathematics

    Objective(s) of a study program: To prepare specialists of biomathematics (masters in mathematical modelling) who have appropriate knowledge and skills for creating mathematical models of complicated biosystems, for analyzing data coming form this kind of systems, for using various problem-oriented informational technologies. The biosystems modelling masters will be able to use their knowledge and skills for formulating and solving real-life problems in biology, biotechnology, pharmacy, medicine and ecology. Learning outcomes: Knowledge and its applications: A1 Knowing the principles of mathematical modeling and possibilities of its application in biology and medicine; A2 Knowing and understanding the specifics of modelling and analysis of molecular systems; A3 Knowing and understanding statistical data analysis methods for biology and medicine, and survival analysis methods; A4 Knowing and understanding human physiological systems and biophysics; Abilities of doing research: B1 Being able to analyze various real world processes, to create, improve and assess mathematical models for solving problems in mathematics and biology; B2 Being able to choose and apply appropriate mathematical models for given biosystems; B3 Being able to find and synthesize information during the whole problem solving process; B4 Being able to analyze, interpret, compare and assess the results of modeling, select the optimal solutions, formulate and justify the conclusions, make forecasts; Special abilities: C1 Being able to constru ...

    Provider NameKaunas University of Technology

    Category: Learning Opportunities Location: Lithuania
  2. Business Big Data Analytics

    Objective(s) of a study programme: To prepare qualified specialists: with deepen knowledge in mathematics, computer science and business, enabling possibility to analyse business big data; able to identify at conceptual level the business issues in traditional and global organizations based on networking, to creatively apply the acquired knowledge in new situations, to develop mathematical models for relevant business decision-making, to critically evaluate data and results, as well as able to communicate information for audience of specialists, to work in a team and to continually develop their professionalism. Learning outcomes: Knowledge and its application A1. Demonstrate deepened and expanded math knowledge related to process and event analysis, prognosis, optimization, risk assessment and big data. A2. Have knowledge of business organizations’ operational processes, efficiency indicators, modelling principles, factors influencing decision-making, and able to use them for development of mathematical models. A3. Have knowledge of specification of enterprise informational needs, purpose of metadata, importance of big data management in the organization, and able to use databases, to create and use metadata, to specify user needs and limitations of the information system. A4. Have knowledge of mathematical methods applied to the development of analysis models for business big data, understand the analysis phases and their performance method, and able to apply it in the interdisciplinary area. A5. Have knowled ...

    Provider NameKaunas University of Technology

    Category: Learning Opportunities Location: Lithuania
  3. Applied Mathematics

    Objective(s) of a study programme: The aim of the Applied Mathematics programme is to prepare broad-minded specialists with strong background and adequate skills for applying and developing of mathematical models for industry, business, finance and other areas. Learning outcomes: Graduates of the programme will be able to 1. Apply knowledge of mathematics and develop mathematical models for industry, business, finance and other areas. 2. Perform scientific investigations in mathematical modelling, data analysis, control fields, and develop software. 3. Apply newest knowledge of mathematics in solving problems of various dynamic processes. 4. Independently deepens and expands knowledge of application of mathematics. Activities of teaching and learning: Lectures, practical work, seminars, laboratory work, individual work, reading literature, solving problem tasks, preparation for lab work, midterm and final exams. Methods of assessment of learning achievements: Knowledge and skills are evaluated using criteria-based study achievement assessment system of a 10 mark scale. Study results are evaluated during the semester through the intermediate exams (mid-term exams, practical, laboratory work) and the final exam. Final and mid-term exams are performed in the written form. The final evaluation consists of weighting marks of each assessment. Specialisations: - Optional courses: It is possible: deepen subject areas knowledge, choosing a specialized field of study subjects; choose a variety of related studies offered ...

    Provider NameVytautas Magnus University

    Category: Learning Opportunities Location: Lithuania
  4. Financial and Insurance Mathematics

    Studijų programoje dvi šakos (finansų matematika ir draudimo matematika) turi bendrus dalykus (rinktiniai analizės skyriai, tikimybių teorija ir matematinė statistika, negyvybės draudimas, laiko eilučių analizė, stochastinė analizė, gyvybės draudimas, sveikatos draudimas, finansų matematika, rizikos teorija.), kuriems skirta 34 kreditai. Atskirų šakų dalykams skirti 9 kreditai, magistro darbui - 17 kreditų. ...

    Provider NameVilnius University

    Category: Learning Opportunities Location: Lithuania
  5. Statistics

    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

    Category: Learning Opportunities Location: Lithuania
  6. Econometrics

    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

    Category: Learning Opportunities Location: Lithuania
  7. Mathematics

    The principal subjects of the programme are the following: differential equations, functional anglysis, probability theory and mathematical statistics, Navier-Stokes equations, probabilistic insurance models, analytic number theory, weak convergence of probability measures, boundary values problems for parabolic and hyperbolic equations, mathematical models in ecomonics, informatics, measure and integral theory, mathematical models of applied physics, continuum dynamics, selected topics in process theory, dynamical systems, variational methods in mathematical physics, difference methods for solving of differential equations, mechanics of solids, financial models with MS Exel. Professional training is not planned. ...

    Provider NameVilnius University

    Category: Learning Opportunities Location: Lithuania
  8. Applied Mathematics

    Objective(s) of a study programme: To prepare the creative mathematics graduates of broad erudition with actual knowledge in mathematics and its applications and be able to explore, simulate and responsibly apply in the new situations, to evaluate decisions, and to pick out the best and so develop their personal career in the chosen area, also will be able to be competent partners in joint projects with the other academic specialists. Learning outcomes: Knowledge and its application modeling principles and their application possibilities in technological, physical, economical, medical and sociological sciences; Financial and actuarial mathematics theory and its application for modeling financial markets; risk and decision-making theory and its application; principles of optimal process theory; statistical analysis methods of multidimensional data; analysis of formal specifications of software systems. Abilities to carry out research see modeling possibilities and be able to develop technology, finance, economics, social science and other areas of problem-solving mathematical models, base their relevance; be able to select and apply appropriate research methods from the available data or conditions; to detect and synthesize information throughout the solution process; to analyze given propositions critically, to compare and to assess them, to to choose optimal decisions, to draw reasonable conclusions, to make prognosis. Special abilities to create mathematical models of different systems and software ...

    Provider NameKaunas University of Technology

    Category: Learning Opportunities Location: Lithuania
  9. Statistics and operational analysis

    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

    Category: Learning Opportunities Location: Lithuania
  10. Applied statistics

    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

    Category: Learning Opportunities Location: Lithuania

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