Recently, the term “Big Data” has become one of the most fashionable and popular in the world. And not in vain. Current opportunities to collect and systematize data have fueled the business by providing more opportunities and enabling the development of better new products.
The study programme is focused on business big data, synergy in development of mathematical and computer science skills and competencies, development of mathematical models for business development decisions. Graduates are able to analyse the business big data, to identify business problems, optimize business processes, apply acquired knowledge and to create mathematical models and algorithms for business decisions and business insights development.
Please note:
The program is implemented in Kaunas, and a group of students from the Vilnius region is also being formed.
| Location |
Kaunas Faculty of Mathematics and Natural Sciences |
| Cycle | Second cycle |
| Field | Applied Mathematics, Informatics, Economics |
| Language | Lithuanian |
| Form | Full-time studies - 2 y. (weekend, evening-time; cyclic, blended learning), Part-time studies - 3 y. (weekend, evening-time; cyclic, blended learning) |
| Degree awarded | Master of Mathematical Sciences |
| Yearly Price |
Full-time studies - 5266 €
Part-time studies - 3511 € |
Talk to us, study with us
tel. +370 679 44 555
email studijos@ktu.lt
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The programme is only conducted in Lithuanian language. Entry requirements for this particular programme can be found in the programme description provided in Lithuanian language. |
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The indicated tuition fee is applied to 2024-2025 academic year. |
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| Foreign nationals with Lithuanian origins and EU citizens | |
| Full-time studies | 5266 € |
| Part-time studies | 3511 € |
| Price per credit | 87,77 € |
| Partial tuition fee waiver can be applied for the study price. | |
Financial support
| Analysis of Business Big Data and Decision Making | Analysis of business processes and identification of problems | Design of business systems, risk evaluation, prediction and optimisation | Development of business big data analytic tools and design of software |
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KTU launched the first in Lithuania study programme for business big data analysis with strong engagement of industry partners to facilitate growing demand for the specialists in the field.
Practical seminars are conducted by Lithuanian and international experts from leading business companies (Western Union, Adform, Barclays, Execaster, etc.).
Case-based teaching and problem-based learning facilitates understanding of ongoing challenges and application of real-life solutions using Spark, Python, Scala, SAS, R software.
Student’s competences
Student’s skills
| – Development and maintenance of the big data repository |
| – Development, installation and maintenance of business analytics systems |
| – Development and maintenance of report system |
| – Data processing, structuring and graphic display |
| – Provision of business analysis and summarised insights to the managers |
| – Analysis of data and business processes |
| – Improvement and maintenance of business analytics system |
| – Data processing, structuring and graphic display |
| – Preparation of customer assessment reports |
| – Preparation of process documentation, process modelling, assessment of performance, financial and economic indicators |
| – Effective and high quality planning of the division’s activities, organisation and control of the work of subordinate employees, decision-making on the issues of organisation of the division’s work and personnel management |
| – Management and optimisation of the division’s budget |
| – Analysis of relevant data, provision of insights and proposals |
| – Provision of proposals regarding implementation of effective and innovative solutions |
| – Collection, structuring and analysis of financial and other data related to the company’s activities |
| – Preparation of reports and provision of information to the management and structural divisions |
| – Participation in preparation of the budget, forecasts of monetary flows while assessing investment projects and preparing operational plans |
Our company has countless amounts of data but it cannot be simply laying in a drawer. We need people to work with it, who will manage to use it in order to extract insights about improving some of the processes, do research and make conclusions about the customers’ behaviour. Our clients make 29 transfers in one second, therefore, we accumulate enormous amounts of data in the whole world every day. The company really needs specialists, who could work with large arrays of data. Very often, candidates with such experience dictate the price for us themselves.
