Vilnius College of Design

Data Analytics

Data analytics study programme

Transform raw data into actionable business insights using statistical methods, visualisation tools, and machine learning.

Duration
3 years
Language
English
Admission
Open for February 2027
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

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 major 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 directly at Vilnius College of Design. Applicants must have completed secondary education (high-school diploma). More information: https://www.vcd.lt/en/admission

Full-time studies – EUR 5,500 per year.

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