Data Analysis | Technical University of Sofia

Specialties

Data Analysis

The "Data Analysis" specialty prepares highly qualified specialists with a bachelor's degree who possess in-depth knowledge and practical skills for collecting, processing, analyzing, and interpreting data to support informed decision-making processes and the development of predictive models. The training is based on a solid mathematical foundation, combined with modern methods of statistics, computer science, and information technology.

NQF Code:

BDA

Degree Level:

Bachelor

Curriculum 2026-2027

Why choose this specialty?

The specialty is particularly attractive due to the excellent opportunities for quick and successful professional realization of graduates, as well as for their future development in one of the most dynamically developing sectors of the economy.

What are the admission requirements?

To study the specialty, anyone with a diploma of completed secondary education can apply. The admission requirements are announced every year on the website of the Technical University - Sofia.

What will I learn?

The training in the specialty is based on a solid foundation in mathematical, statistical, and informatics disciplines, which form the necessary theoretical base for students.

The specialized part of the curriculum includes disciplines in the field of data science, including:

statistical modeling;
machine learning;
pattern extraction from data;
analysis and processing of large volumes of data.

Students study modern technologies and software tools for:

storage, annotation, enrichment, integration, and transmission of data;
statistical analysis and data visualization;
knowledge extraction from data.

The training also emphasizes:

project development and management;
legal and ethical aspects of working with data;
developing communication and presentation skills;
skills for effective teamwork.

My career

Graduates of the "Data Analysis" specialization acquire in-depth theoretical knowledge, practical skills, and professional competencies that enable them to work successfully in any field where mathematical methods and software tools are used for data collection and analysis.

They can occupy diverse professional positions, such as:

data analysts;
experts and consultants;
designers and project managers;
team leaders;
specialists in various fields of business and management.

Graduates of the specialization have excellent opportunities to continue their education at the master's and doctoral levels, which opens up prospects for professional realization as teachers and researchers in academic institutions or as highly qualified specialists in research and development centers of business and industry.