Specialty: Data Science

 

Awarded qualification: Data Analyst

 

Level of qualification: Master (M.Sc)

Length of program:  1.5 year (3 semesters)

 

Mode of study: distance learning, full time, English language only

 

Number of credits: 

90 credits 

 

Field(s) of study (ISCED-F): 0613: Software and applications development and analysis (11.3, 11.4 - 481)

 

Specific admission requirements: Completed bachelor or master degree program and after entrance exam.

 

Candidates take an exam - interview.  

Training in the specialty is entirely in English, which is why applicants also submit a language proficiency document.

 

Qualification requirements and regulations, including graduation requirements:  
In order to get their qualification students must be allocated 90 credits Graduation requirements: Development and defense of a master thesis. 

 

Profile of the program:

The Master's program Data Science offers specialized training in current issues of Computer science in accordance with international, European and national criteria and requirements and needs of professionals in the field of data science.

The training of students in this program is conducted in English only in full-time or distance learning training. The subjects in the curriculum are divided into: compulsory, optional and elective. 

 

Program learning outcomes:

As a result of the training, students acquire:

Specific knowledge in computer science: programming and algorithms, data mining, mathematical methods in data science, quantum computing, autonomous control. 

 

The practical skills acquired by students are oriented towards: experimenting with data, designing and planning data-driven research, established and new practices for solving typical tasks with artificial intelligence, tailored to the needs of different groups of users and in accordance with established in the organization business processes, quick orientation in a specific IT business environment and application of international standards and practices for team leadership.

In accordance with the European competence framework and the National Qualification Framework, the education of students in the "Data Science" specialty stimulates the development of transferable competences for: teamwork, work in a digital and virtual environment, work in mixed international and interdisciplinary teams, innovative thinking, creation and application of new technologies in solving various problems. 

Program structure diagram with credits *:

 

 * In Varna Free University, a credit equals 30 lessons, of which 10 contact hours (lectures and seminars) and 20 hours independent work.

 

Examination regulations and grading scale: The regulations are specific to each course (project or task; individual or group assignments, research papers, tests, project assignment, etc.).

 

Obligatory or optional mobility windows: Students can participate in Erasmus student mobility, which enables them to get to know European practices and to receive training for a successful career in international teams.

 

Occupational profiles of graduates:

Successful graduates can work effectively as data scientists, data analysts, database administrators, data integrators, database architects, data quality assurance, data engineers, software engineers, information management experts, experts in business intelligence analysis, managers at data centers and others.

 

Access to further studies: Graduates can enter PhD programs.

 

Program Supervisor:

Assoc. Prof. Stoyan Mishev, PhD

e-mail: stoyan.mishev@vfu.bg

 

Head of Department:

Assist. Prof. Antonina Ivanova, PhD

e-mail: antonina.ivanova@vfu.bg

 

Contacts with Department of Computer Science

Secretary: Galina Peneva

Tel.: +359-52 359572; 

е-mail: cse@vfu.bg, galina.peneva@vfu.bg

 

To apply for the master program contact the university admission center:  admission@vfu.bg