Data Analytics
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Transform raw data into actionable business insights using statistical methods, visualisation tools, and machine learning.
Duration
3 years
Language
In Lithuanian
Admission
Open until 2026 06 27
Data Analytics specialisation
The Data Analytics specialisation is oriented towards preparing data specialists capable of collecting, processing, and analysing large volumes of data and turning them into meaningful business insights. During studies, students gain practical skills working with SQL, Python, visualisation tools, and statistical methods.
Great emphasis is placed on business analytics, predictive models, BI tools, and data quality management. The specialisation prepares specialists who can work in analytics, business intelligence, and data engineering fields.
Programme description
State code
6531BX010
Study field
B03 Software Systems
Qualification awarded
Professional Bachelor of Computing
Study mode and duration
Full-time 3 years
Study volume in credits
180
Study plans
Full-time studies
Programme Leader
Mantas Sviklas
Mantas Sviklas is an innovation, digitalisation and automation specialist and lecturer with more than 7 years of experience in applying technological solutions, process analysis and automation. His work covers RPA, data, digitalisation projects and team consulting, while his practical experience with SQL, Python, Power Automate and artificial intelligence tools allows him to connect data analytics with real business processes. In the Data Analytics programme, Mantas helps ensure a practical approach to how data can be used to improve efficiency, generate insights and support evidence-based decision-making.
About the Programme
1 General Smart Technology Industry Bachelor programme subjects
Programming fundamentals, data structures and algorithms, databases, computer networks, operating systems, project management, professional ethics, interdisciplinary collaboration, and final thesis.
2 Data Analytics specialisation subjects
Data analytics modules cover statistics, Python for data analysis, data visualisation, business analytics, machine learning, ETL processes, big data, predictive models, data quality management, and BI tools. Students learn to build data pipelines, analyse trends, and deliver insights for decision-making.
Data Analytics is a specialization within the Smart Technology Industry study programme. Admission is carried out through LAMA BPO or directly at Vilnius Design College. Applicants must have completed secondary education.
Full-time studies – EUR 1,539 per semester.
Graduates of the Data Analytics specialization can work as data analysts, business analysts, BI specialists, and data visualization specialists. They can also collect, analyze, and visualize data using Power BI, SQL, and Python tools.
Curriculum
Semester 1Year 1
Programming Fundamentals5 ECTS
Statistics Fundamentals5 ECTS
Computer Science Fundamentals10 ECTS
Mathematics for Analysts10 ECTS
Semester 2Year 1
Python for Data Analysis10 ECTS
Databases and SQL10 ECTS
Data Visualisation10 ECTS
Probability Theory10 ECTS
Semester 3Year 2
Business Analytics5 ECTS
Machine Learning5 ECTS
ETL Processes10 ECTS
Creative Practice10 ECTS
Semester 4Year 2
Big Data10 ECTS
Predictive Models10 ECTS
Data Quality and Governance10 ECTS
Semester 5Year 3
BI Tools and Reporting10 ECTS
Project Management10 ECTS
Semester 6Year 3
Design Studio15 ECTS
Final Project15 ECTS