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Data Analysis Technology
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Summary of the Profile
General Description:
Objective(s) of a study programme:
To prepare big data analitics who are able to apply mathematical statistics and computer science knowledge required in big data analysis, who have acquired the practical job skills in the individual or group statistical projects, and who have acquired the knowledge and skills for self learning and studying in the second level of the study.
Learning outcomes:
• to select the appropriate mathematical statistical model for the big data sets to be studied;
• to perform statistical analysis and forecast of real big data sets;
• to evaluate the results of the statistical survey and present conclusions and recommendations;
• to use specialist computer software packages, to programme in various programming languages;
• work in groups based on modern group work management principles.
Activities of teaching and learning:
Lectures, practical woks, laboratory works.
Methods of assessment of learning achievements:
Exam.
Framework:
Study subjects (modules), practical training:
Algorithms and Data Structures
Personal Finance
Bachelor Graduation Thesis
Differential Calculus
Discrete Mathematics
StatisticalAanalysis of Discrete Structures
Data Analysis
Database Management
Data Classification Methods
Economics
Philosophy
Industrial practic
Sampling Methods
Integral Calculus
Introduction to Graph Theory
Introduction to Neural Networks
Introduction to the Studies
Time Series Analysis
Mathematical Statistics
Matrix Calculus
Optimization Methods
Cognitive Practice
Processes and Automata Theory
Programming Language Python
Regression Analysis
Selected Analysis Chapters
Numerical Methods
Speciality Language Culture
Foreign Language of Speciality
Statistical Software
Stochastic Modeling
The Law
Linear and Vector Algebra
Probability Theory
Foreign Language
Management
Images Analysis Methods
Specialisations:
Optional courses:
Ethics
Logic
Queuing theory
Basics of Mathematical Modeling
Reliability theory
Statistical quality control
Technometry
Economic statistics
Distinctive features of a study programme:
Access to professional activity or further study:
Access to professional activity:
The demand for big data analysis specialists in the world of labor market has increased significantly in recent years. It is projected that in the future, the demand for such specialists will only increase. Good knowledge of mathematics and informatics, logical analytical thinking will allow to search for new technological solutions, to create new services. After completing this degree program
you will be able to be big data analysts, business system analysts, risk assessment specialists, project managers in a variety of business and public
companies in Lithuania and abroad.
Access to further study:
Will be able continue your studies at the second level of studines.
