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.
in Lithuanian
Big Data has become one of the most important drivers of business competitiveness today. Business Big Data analytics enables companies to discover hidden market patterns, predict trends and make data-driven decisions. This stuty programme will equip you with the highest level of competences to analyse Big Data, apply advanced mathematical techniques and develop innovative business solutions. The demand for graduates is growing rapidly, with both corporate giants and ambitious companies now investing millions in data management technologies.
You will gain in-depth knowledge of big data analytics, business decision modelling and forecasting, which are highly valued in today’s job market.
Contemporary laboratories, innovative teaching methods and a dynamic academic community will foster creativity and the generation of new ideas.
You will solve real business challenges using cutting-edge tools and technologies. The hands-on experience you gain will strengthen your analytical skills and your competitiveness in the job market.
You can choose specialised modules to explore topics that match your career aspirations in areas such as finance, marketing or information technology (IT).
The MSc in Business Big Data Analytics provides extensive opportunities to work with and analyse large data sets to develop business strategies, forecasts, and insights. The skills you acquire will prepare you to become a key professional in organisations of all sizes, working at the intersection of technology and business processes.
Here are some of the careers you can pursue after your studies:
Analyses data to uncover business trends and patterns, and helps companies make data-driven decisions.
Develops the infrastructure and tools to collect, process and store data to ensure data quality and availability.
Helps companies integrate and apply IoT solutions to analyse big data to increase efficiency and innovation.
| Module name | Credits | Method of organisation |
|---|
| Big Data Mining Methods | 9 | Blended learning |
| Bigdata Research Project | 6 | Distance learning |
| Matrix Analysis | 6 | Blended learning |
| Strategic Business Analysis | 9 | Blended learning |
| Module name | Credits | Method of organisation |
|---|
| Multivariate Statistical Analysis Models | 9 | Blended learning |
| Optimization and Decision Making | 6 | Blended learning |
| Project of Business External Data Analytics | 6 | Distance learning |
| Analytics of Finance and Accounting Data | 9 | Blended learning |
| Business Environment Forecasting | 9 | Blended learning |
| Modelling of Marketing Decisions | 9 | Blended learning |
| Module name | Credits | Method of organisation |
|---|
| Business Risk and Uncertainty Analytics | 6 | Blended learning |
| Project of Business Internal Data Analytics | 6 | Blended learning |
| Big Data Analytic Tools | 6 | Blended learning |
| Financial Markets Models | 6 | Blended learning |
| Python for Data Science | 6 | Blended learning |
| Time Series Analysis | 6 | Blended learning |
| Consumer Analytics | 6 | Blended learning |
| Financial Management Decisions | 6 | Blended learning |
| Data Analytics and Visualization | 6 | Blended learning |
| Information Systems Requirements Analysis and Specification | 6 | Blended learning |
| Module name | Credits | Method of organisation |
|---|
| Master’s Degree Final Project | 30 | Blended learning |
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.
in Lithuanian
The MSc in Business Big Data Analytics enhanced my competencies in exploratory data analysis and modelling. During my project work, we analysed large-scale business data and drew conclusions to support managerial decision-making. I particularly enjoyed the projects, as they allowed me to apply almost everything we learned in theory to real-world scenarios.
The master’s studies allowed me to change my career direction, as for my bachelor’s I studied BSc in Materials Physics and Nanotechnologies, and after my master’s I became a matematitian. Studying at KTU gives you more experience and exposure to real business challenges. Lectures were held in the evenings, so it was not difficult to fit them in my schedule.
The demand for data science and machine learning professionals in business is extremely high, as companies have been collecting data for years but still struggle to extract its full monetary value. A master’s degree provides in-depth theoretical knowledge, enabling professionals to solve complex problems and advance in the job market. KTU has strong partnerships with the business sector, giving students valuable first-hand experience and practical skills.
This programme is delivered in Lithuanian only and all academic activities, including coursework and assessments, are conducted in this language.
Mathematics subjects include modules such as higher mathematics, mathematical analysis, probability theory and statistics, econometrics, applied mathematics, linear algebra, discrete mathematics, mathematical logic, etc.
Studies are available in Kaunas and Vilnius. Studies in Kaunas are held on weekday evenings and in Vilnius on Friday afternoons and Saturdays.
We cooperate with SBA, Adform, DataDog, Exacaster, NFQ, Gintarinė vaistinė, Kesko Senukai, Western Union, a bank, TransUnion, R1RCM, Swedbank, SEB and the State Tax Office.
Talk to us, study with us:
K. Donelaičio St. 73, LT-44249 Kaunas
phone: +370 679 44 555
email studijos@ktu.lt
Faculty of Mathematics and Natural Sciences
XI Chamber
Studentų St. 50, LT-51368 Kaunas
email mgmf@ktu.lt
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