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 & September 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 Fundamentals and Databases10 ECTS
Object-Oriented Programming10 ECTS
Computer and Communication Systems Architecture10 ECTS
Semester 2Year 1
Programming Fundamentals with Python10 ECTS
Data Mining for Business Process Intelligence10 ECTS
Data Analytics with Power BI10 ECTS
Semester 3Year 2
Professional Practice I10 ECTS
Data Analytics with Python: Pandas and NumPy10 ECTS
Process Modelling Using Machine Learning10 ECTS
Semester 4Year 2
Fundamentals of Client-Side Programming5 ECTS
Professional Practice II20 ECTS
Applied Project / Term Paper5 ECTS
Semester 5Year 3
Fundamentals of Server-Side Programming10 ECTS
Advanced Database Management Systems5 ECTS
Cloud Computing Technologies5 ECTS
IT Project Management and Professional Ethics (in English) (Compulsory Module)5 ECTS
Evolution of Computer Science (Programme Elective Module – from a Defined List)5 ECTS
Fundamentals of Organizational Management (Programme Elective Module – from a Defined List)5 ECTS
Economic Management of IT Projects (Programme Elective Module – from a Defined List)5 ECTS
Semester 6Year 3
Methods and Tools for Applied Research in Computer Science10 ECTS
Final Thesis10 ECTS
Final Professional Practice10 ECTS